{"title":"NVIDIA® Products","description":null,"products":[{"product_id":"nvidia®-jetson-orin™-nx-module-8gb","title":"NVIDIA® Jetson Orin™ NX Module 8GB","description":"\u003cp\u003eThe NVIDIA Jetson Orin NX 8GB module delivers up to 70 TOPS of AI performance in the most compact Jetson form factor, with configurable power modes ranging from 10W to 20W. Offering more than 2× the performance of the NVIDIA Jetson AGX Xavier and 3× the performance of the Jetson Xavier NX, it is ideal for compact, low-power AI applications such as drones, robotics, and handheld edge devices.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch4\u003eFeatures\u003c\/h4\u003e\n\u003cp\u003eHigh-performance GPU with advanced architecture:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e1024-core NVIDIA Ampere\u003c\/li\u003e\n\u003cli\u003eArchitecture GPU with 32\u003c\/li\u003e\n\u003cli\u003eTensor cores\u003c\/li\u003e\n\u003cli\u003e1x NVDLA v2.0\u003c\/li\u003e\n\u003cli\u003e6-core Arm® Cortex®-A78AE\u003c\/li\u003e\n\u003cli\u003e2 64-bit CPU\u003c\/li\u003e\n\u003cli\u003e8GB 128-bit LPDDR5\u003c\/li\u003e\n\u003cli\u003ePVA v2.0\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eBuilt for advanced edge AI and autonomous systems, the NVIDIA Jetson™ Orin NX combines powerful computing performance with an ultra-compact design. Engineered for robotics, smart surveillance, drones, and industrial automation, it delivers exceptional AI acceleration while maintaining energy efficiency. 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Providing more than 6× the performance of the Jetson AGX Xavier™ in the same compact form factor, it is built for advanced robotics, autonomous systems, and next-generation edge AI applications.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch4\u003eFeatures\u003c\/h4\u003e\n\u003cp\u003eHigh-performance GPU with advanced architecture:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cspan data-font-family=\"default\"\u003e1792-core NVIDIA Ampere architecture GPU with 56 tensor cores\u003c\/span\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e2x NVDLA v2.0\u003c\/li\u003e\n\u003cli\u003e8-core Arm Cortex-A78AE v8.2 64-bit CPU\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan data-font-family=\"default\"\u003eHigh-Speed Memory:\u003c\/span\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003e\u003cspan\u003e \u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003cspan data-font-family=\"default\"\u003e32GB 256-bit LPDDR5\u003c\/span\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan data-font-family=\"default\"\u003eLarge Storage: \u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003e64GB eMMC 5.1\u003c\/span\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan data-font-family=\"default\"\u003ePVA v2.0\u003c\/span\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eThe NVIDIA® Jetson AGX Orin™ 32GB module delivers up to 200 TOPS of AI performance with configurable power settings ranging from 15W to 40W. 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style=\"width: 29.5047%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003eVideo Encode\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e1x 4K60 | 3x 4K30 | 6x 1080p60 | 12x 1080p30 (H.265)\u003c\/p\u003e\n\u003cp\u003eH.264, AV1\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.1875px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003eVideo Decode\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e1x 8K30 | 2x 4K60 | 4x 4K30 |\u003c\/p\u003e\n\u003cp\u003e9x 1080p60 | 18x 1080p30 (H.265)\u003c\/p\u003e\n\u003cp\u003eH.264, VP9, AV1\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.1875px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003eCamera\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e16 lanes MIPI CSI-2 (16 Virtual Channels*)\u003c\/p\u003e\n\u003cp\u003eD-PHY 2.1 40Gbps \/ C-PHY 2.0 164Gbps\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.1875px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003ePCI Express\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e22 lanes PCIe Gen 4\u003c\/p\u003e\n\u003cp\u003eUp to 2 x8, 1 x4, 2 x1\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.1875px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003eEthernet\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e1 Gbe RGMII | 4x 10Gbe XFI\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4\u003ePart List\u003c\/h4\u003e\n\u003cp\u003eNVIDIA Jetson AGX Orin Module 32GB x1\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch4\u003eDocuments\u003c\/h4\u003e\n\u003cp\u003eJetson AGX Orin Module Series Datasheet\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"32GB","offer_id":44637302784083,"sku":"ROBO02","price":105907.39,"currency_code":"INR","in_stock":true},{"title":"64GB","offer_id":44637302816851,"sku":"ROBO03","price":295561.6,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/Group_48098036.png?v=1779259813"},{"product_id":"nvidia®-jetson-agx-orin™-module-64gb","title":"NVIDIA® Jetson AGX Orin™ Module 64GB","description":"\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" class=\"\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-32\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" class=\"\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-32\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cp\u003eThe NVIDIA Jetson AGX Orin 64GB module delivers up to 275 TOPS of AI performance with configurable power modes ranging from 15W to 60W. Offering more than 8× the performance of the Jetson AGX Xavier in the same compact form factor, it is engineered for advanced robotics, autonomous machines, and high-performance edge AI deployments.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch4\u003eFeatures\u003c\/h4\u003e\n\u003cp\u003eHigh-performance GPU with advanced architecture:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eGPU with 64 tensor cores\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e2x NVDLA v2.0\u003c\/li\u003e\n\u003cli\u003e2048-core NVIDIA Ampere architecture\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e12-core Arm Cortex-A78AE v8.2\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e64-bit CPU\u003c\/li\u003e\n\u003cli\u003e64GB 256-bit LPDDR5\u003c\/li\u003e\n\u003cli\u003e64GB eMMC 5.1\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan data-font-family=\"default\"\u003ePVA v2.0\u003c\/span\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eThe NVIDIA® Jetson AGX Orin™ 64GB module delivers up to 275 TOPS of AI performance with configurable power settings ranging from 15W to 60W. Providing over 8× the performance of the Jetson AGX Xavier™ in the same compact form factor, it is purpose-built for advanced robotics, autonomous systems, and demanding edge AI applications.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch4\u003eApplication\u003cbr\u003e\n\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eAutonomous Vehicles\u003c\/li\u003e\n\u003cli\u003eSmart Retail\u003c\/li\u003e\n\u003cli\u003eIndustrial Automation\u003c\/li\u003e\n\u003cli\u003eDrones and Robots\u003c\/li\u003e\n\u003cli\u003eMachine Vision\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv id=\"shopify-block-text_iRhCFD\" class=\"product-text\"\u003e\n\u003cdiv class=\"product-text__content\"\u003e\n\u003cdiv class=\"prose-tight prose max-md:prose-sm\"\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eSpecification\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ctable width=\"440\" height=\"21\" style=\"width: 100.331%; height: 395.125px; border-collapse: collapse;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 19.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cstrong\u003eFeatures\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 19.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cstrong\u003e\u003cspan data-font-family=\"Montserrat\"\u003eDetails\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 55.1875px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 55.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003eGPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 55.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003c\/span\u003e2048 Core Ampere, with 64 Tensor Cores\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 55.1875px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 55.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003eAI Performance\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 55.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003c\/span\u003e\u003cspan\u003e200 TOPS (Sp) |100 TOPS (De)\u003c\/span\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5938px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003eDL Accelerator\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e(2x) NVDLA V2.0\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5938px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003eVision Accelerator\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e(2x) 7-way VLIW Processor\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.1875px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003eCPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e12 core Arm Cortex-A78AE\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e3MB L2 + 6MB L3\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5938px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003eStorage\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e64GB eMMC\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5938px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003eMemory\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e64GB 256-bit LPDDR5 @ 2133MHz\u003c\/p\u003e\n\u003cp\u003e205 GB\/s\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5938px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003ePower\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e15W - 60W\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.1875px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003eMechanical\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e100mm x 87mm\u003c\/p\u003e\n\u003cp\u003e699 pin connector\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.1875px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003eVideo Encode\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e2x 4K60 | 4x 4K30 | 8x 1080p60 | 16x 1080p30 (H.265) H.264, AV1\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.1875px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003eVideo Decode\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; 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[\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" class=\"\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-32\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-is-intersecting=\"true\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-testid=\"conversation-turn-50\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"d42f79f4-3c80-4114-a7c3-265742def827\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cp data-start=\"0\" data-end=\"351\" data-is-last-node=\"\" data-is-only-node=\"\"\u003eThe NVIDIA Jetson Orin Nano 8GB module delivers up to 40 TOPS of AI performance in the most compact Jetson form factor, with configurable power modes ranging from 7W to 15W. Offering up to 30× the performance of the NVIDIA Jetson TX2 NX, it expands the possibilities of entry-level edge AI for robotics, smart vision, and embedded intelligent systems.\u003c\/p\u003e\n\u003cp data-start=\"0\" data-end=\"351\" data-is-last-node=\"\" data-is-only-node=\"\"\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"mt-3 w-full empty:hidden\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch4\u003eFeatures\u003c\/h4\u003e\n\u003cp\u003eHigh-performance GPU with advanced architecture:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan data-font-family=\"default\"\u003eArchitecture GPU with\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan data-font-family=\"default\"\u003e8GB 128-bit LPDDR5\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan data-font-family=\"default\"\u003e6-core Arm Cortex-A78AE v8.2\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan data-font-family=\"default\"\u003e1024-core NVIDIA Ampere\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003e\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003cspan data-font-family=\"default\"\u003e32 tensor cores\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003eSupport for external NVMe\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eUnlock advanced edge AI and robotics capabilities with a compact, power-efficient platform designed for next-generation intelligent systems. Delivering up to 40 TOPS of AI performance in the smallest NVIDIA Jetson™ form factor, it supports configurable power modes from 5W to 15W. Built on the original Jetson Nano™ footprint, it provides powerful AI computing for robotics, automation, smart vision, and embedded edge applications.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch4\u003eApplication\u003cbr\u003e\n\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan data-font-family=\"default\"\u003eArtificial Intelligence Applications\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan data-font-family=\"default\"\u003eEmbedded Edge Computing\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv id=\"shopify-block-text_iRhCFD\" class=\"product-text\"\u003e\n\u003cdiv class=\"product-text__content\"\u003e\n\u003cdiv class=\"prose-tight prose max-md:prose-sm\"\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eSpecification\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ctable width=\"440\" height=\"21\" style=\"width: 100.331%; height: 1094.6px; border-collapse: collapse;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.6023px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003eFeatures\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003e\u003cspan data-font-family=\"Montserrat\"\u003eDetails\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 55.1989px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 55.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eGPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 55.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003c\/span\u003e\u003cspan\u003e1024-core NVIDIA Ampere architecture GPUwith 32 tensor cores\u003c\/span\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 55.1847px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 55.1847px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMax GPU Freq.\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 55.1847px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003c\/span\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e625MHz\u003c\/span\u003e\u003c\/span\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 55.1989px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 55.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 55.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCPU Max Freq.\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e1.5GHz\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 90.7955px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 90.7955px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eAI Performance\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 90.7955px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e40 TOPS\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eStorage\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e(Supports external NVMe)\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.1932px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.1932px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMemory\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.1932px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e8GB 128-bit LPDDR5\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e68GB\/s\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003ePower\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e7W - 15W\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.1932px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.1932px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMechanical\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.1932px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e69.6mm x 45mm\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e260-pin SO-DIMM connector\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.179px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eVideo Encode\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan\u003e1080p30 supported by 1-2 CPU cores\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.179px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eVideo Decode\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e\u003cspan\u003e1x 4K60 (H.265) 2x 4K30 (H.265) 5x 1080p60 (H.265) 11x 1080p30 (H.265)\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.179px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCamera\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e\u003cspan\u003eUp to 4 cameras (8 via virtual channels*) 8 MIPI CSI-2 lanes D-PHY 2.1 (up to 20Gbps)\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.179px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003ePCIe\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e\u003cspan\u003e 1x4 + 3 x1 (PCIe Gen3, Root Port, and Endpoint)\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.1932px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.1932px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eUSB\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.1932px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e3x USB 3.2 Gen2 (10Gbps)\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e3x USB 2.0\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.179px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eNetworking\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e1x GbE\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.179px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eDisplay\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e1x 4K30 multi-mode DP 1.2 (+MST)\/eDP 1.4\/HDMI 1.4\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.179px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eOther I\/O\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC \u0026amp; DSPK, PWM, GPIOs\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4\u003ePart List\u003c\/h4\u003e\n\u003cp\u003eNVIDIA Jetson Orin Nano Module 8GB x1\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch4\u003eDocuments\u003c\/h4\u003e\n\u003cp\u003eNVIDIA Jetson Orin Nano Series Datasheet\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"Default Title","offer_id":44641474117715,"sku":"ROBO05","price":26348.68,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/258462_1_1.jpg?v=1779257212"},{"product_id":"nvidia®-jetson-orin™-nano-module-4gb","title":"NVIDIA® Jetson Orin™ Nano Module 4GB","description":"\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-is-intersecting=\"true\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-testid=\"conversation-turn-32\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] 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data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" class=\"\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-50\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"d42f79f4-3c80-4114-a7c3-265742def827\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cp data-is-only-node=\"\" data-is-last-node=\"\" data-end=\"351\" data-start=\"0\"\u003eThe NVIDIA Jetson Orin Nano 4GB module delivers up to 20 TOPS of AI performance in the most compact Jetson form factor, with configurable power modes ranging from 5W to 10W. Offering up to 40× the performance of the NVIDIA Jetson Nano, it establishes a new standard for entry-level edge AI applications including robotics, smart vision, and embedded intelligent systems.\u003c\/p\u003e\n\u003cp data-is-only-node=\"\" data-is-last-node=\"\" data-end=\"351\" data-start=\"0\"\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"mt-3 w-full empty:hidden\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch4\u003eFeatures\u003c\/h4\u003e\n\u003cp\u003eHigh-performance GPU with advanced architecture:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan data-font-family=\"default\"\u003eArchitecture GPU with\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e4GB 64-bit LPDDR5\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e\u003cspan data-font-family=\"default\"\u003e6-core Arm Cortex-A78AE v8.2\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e512-core NVIDIA Ampere\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e16 tensor cores\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eSupport for external NVMe\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eExperience advanced edge AI performance in a compact, energy-efficient platform designed for next-generation robotics and intelligent systems. Delivering up to 20 TOPS of AI performance in the smallest NVIDIA Jetson™ form factor, it supports flexible power modes from 5W to 15W. Built on the original Jetson Nano™ footprint, it provides powerful AI computing for robotics, automation, smart vision, and embedded edge applications.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch4\u003eApplication\u003cbr\u003e\n\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan data-font-family=\"default\"\u003eArtificial Intelligence Applications\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan data-font-family=\"default\"\u003eEmbedded Edge Computing\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv class=\"product-text\" id=\"shopify-block-text_iRhCFD\"\u003e\n\u003cdiv class=\"product-text__content\"\u003e\n\u003cdiv class=\"prose-tight prose max-md:prose-sm\"\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eSpecification\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ctable style=\"width: 100.331%; height: 1094.6px; border-collapse: collapse;\" height=\"21\" width=\"440\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.6023px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003eFeatures\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003e\u003cspan data-font-family=\"Montserrat\"\u003eDetails\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 55.1989px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 55.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eGPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 55.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003c\/span\u003e512-core NVIDIA Ampere architecture GPU with 16 tensor 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10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCPU Max Freq.\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e1.5GHz\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 90.7955px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 90.7955px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eAI Performance\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 90.7955px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e20 TOPS\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eStorage\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e(Supports external NVMe)\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.1932px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.1932px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMemory\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.1932px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e \u003c\/p\u003e\n4GB 64-bit LPDDR5 34GB\/s\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003ePower\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e7W - 10W\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.1932px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.1932px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMechanical\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.1932px; border: 1px solid 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rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e\u003cspan\u003e1x 4K60 (H.265) 2x 4K30 (H.265) 5x 1080p60 (H.265) 11x 1080p30 (H.265)\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.179px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCamera\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e\u003cspan\u003eUp to 4 cameras (8 via virtual channels*) 8 MIPI CSI-2 lanes D-PHY 2.1 (up to 20Gbps)\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.179px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003ePCIe\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e\u003cspan\u003e1 x4 + 3 x1 (PCIe Gen3, Root Port, and Endpoint)\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.1932px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.1932px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eUSB\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.1932px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e3x USB 3.2 Gen2 (10Gbps)\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e3x USB 2.0\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.179px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eNetworking\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e1x GbE\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.179px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eDisplay\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e1x 4K30 multi-mode DP 1.2 (+MST)\/eDP 1.4\/HDMI 1.4\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.179px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eOther I\/O\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC \u0026amp; DSPK, PWM, GPIOs\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4\u003ePart List\u003c\/h4\u003e\n\u003cp\u003eNVIDIA Jetson Orin Nano Module 4GB x1\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch4\u003eDocuments\u003c\/h4\u003e\n\u003cp\u003eNVIDIA Jetson Orin Nano Series Datasheet\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"4GB","offer_id":44664270946387,"sku":"ROBO06","price":23515.49,"currency_code":"INR","in_stock":true},{"title":"8GB","offer_id":44664270979155,"sku":"ROBO05","price":26348.68,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/nvidia-jetson-nano-module-standing-2c50-d_375x_af4ed22d-003c-49de-ace2-9880bf3c62db.avif?v=1779258943"},{"product_id":"nvidia-jetson-agx-thor-deployment-kit","title":"NVIDIA Jetson AGX Thor Deployment Kit","description":"\u003cdiv 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@w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-is-intersecting=\"true\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-testid=\"conversation-turn-32\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" class=\"\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-50\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"d42f79f4-3c80-4114-a7c3-265742def827\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-2\" data-is-intersecting=\"true\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-2\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-2\" data-testid=\"conversation-turn-60\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"3e4033b5-9270-4217-b9fc-e38cb9624a64\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cp data-start=\"0\" data-end=\"636\" data-is-last-node=\"\" data-is-only-node=\"\"\u003eThe NVIDIA® Jetson AGX Thor™ Developer Kit is a powerful AI computing platform built for next-generation robotics, humanoid systems, and advanced edge AI applications. Powered by the NVIDIA Blackwell GPU and equipped with 128GB memory, it delivers exceptional AI performance and energy efficiency for generative AI, real-time inference, and intelligent autonomous systems. Designed for seamless cloud-to-edge deployment, it supports advanced robotics frameworks, high-speed sensor integration, and low-latency AI processing, making it ideal for robotics development, physical AI, computer vision, and industrial automation applications.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"mt-3 w-full empty:hidden\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch4\u003eHighlights\u003c\/h4\u003e\n\u003cp\u003eIndustry-Leading Performance for Humanoid Robots\u003cbr\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e2070 TFLOPS1 AI Performance\u003c\/li\u003e\n\u003cli\u003e273 GB\/s Memory Bandwidth\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e14 cores CPU\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv class=\"product-text\" id=\"shopify-block-text_iRhCFD\"\u003e\n\u003cdiv class=\"product-text__content\"\u003e\n\u003cdiv class=\"prose-tight prose max-md:prose-sm\"\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eSpecification\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ctable style=\"width: 100.331%; height: 1094.6px; border-collapse: collapse;\" height=\"21\" width=\"440\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.6023px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003eFeatures\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003e\u003cspan data-font-family=\"Montserrat\"\u003eDetails\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 55.1989px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 55.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eGPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 55.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003c\/span\u003e2560-core NVIDIA Blackwell architecture GPU with fifth-gen Tensor Cores\u003cbr\u003eMulti-Instance GPU (MIG) with 10 TPCs\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 55.1847px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 55.1847px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMax GPU Freq.\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 55.1847px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003c\/span\u003e1.57 GHz\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 55.1989px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 55.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 55.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e14-core Arm® Neoverse®-V3AE 64-bit CPU\u003cbr\u003e1 MB L2 cache per core\u003cbr\u003e16 MB shared system L3 cache\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCPU Max Freq.\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e2.6 GHz\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 90.7955px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 90.7955px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eAI Performance\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 90.7955px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e2070 TFLOPS (FP4—Sparse)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eStorage\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e1 TB NVMe M.2 Key M Slot\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.1932px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.1932px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMemory\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.1932px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e128 GB 256-bit LPDDR5X\u003c\/span\u003e\u003c\/p\u003e\n273 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003ePower\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e40 W–130 W\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.1932px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.1932px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMechanical\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.1932px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e243.19 mm x 112.40 mm x 56.88 mm\u003cbr\u003eThermal Transfer Plate (TTP) and optional fan or heat sink\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.179px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eVideo Encode\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan\u003e2X NVENCODE\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.179px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eVideo Decode\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e\u003cspan\u003e2X NVENCODE\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.179px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCamera\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e\u003cspan\u003eHSB camera via QSFP slot\u003cbr\u003eUSB camera\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.179px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003ePCIe\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e\u003cspan\u003eM.2 Key M slot with x4 PCIe Gen5\u003cbr\u003eM.2 Key E slot with x1 PCIe Gen5\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.1932px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.1932px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eUSB\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.1932px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e2x USB-A (3.2 Gen2)\u003c\/span\u003e\u003c\/p\u003e\n2x USB-C (3.1)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.179px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eNetworking\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e1x 5GbE RJ45 connector\u003cbr\u003e1x QSFP28 (4x 25GbE)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.179px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eDisplay\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e1x HDMI 2.0b\u003cbr\u003e1x DisplayPort 1.4a\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.179px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eOther I\/O\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.179px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eQSFP connector\u003cbr\u003eM.2 Key E expansion slot (WLAN\/BT, x1 PCIe, USB2.0, UART, I2C, I2S)\u003cbr\u003eM.2 Key M connector (NVMe for storage)\u003cbr\u003ePCIe x4 lane, I2C, PCIe x2 lane\u003cbr\u003e2x 13-pin CAN header\u003cbr\u003e2x 6-pin automation header\u003cbr\u003eLED\u003cbr\u003eJTAG connector (2x 5-pin header)\u003cbr\u003e1x fan connector —12V, PWM, and Tach\u003cbr\u003eAudio panel header (2x 5-pin)\u003cbr\u003eMicrofit power jack\u003cbr\u003eRTC backup battery connector 2-pin\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4\u003ePart List\u003c\/h4\u003e\n\u003col\u003e\n\u003cli\u003eNVIDIA Jetson™ T5000 module with heat sink and reference carrier board\u003c\/li\u003e\n\u003cli\u003eDC power 140W\u003c\/li\u003e\n\u003cli\u003e802.11ax wireless network interface controller\u003c\/li\u003e\n\u003cli\u003e1 TB NVMe populated in M.2 Key-M slot\u003c\/li\u003e\n\u003cli\u003eQuick Start Guide\u003cbr\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003ch4\u003eDocuments\u003c\/h4\u003e\n\u003cp\u003eNVIDIA Jetson AGX Thor Developer Kit Datasheet\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"Default Title","offer_id":44641624424531,"sku":"ROBO07","price":392376.75,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/ssasa.png?v=1779269157"},{"product_id":"nvidia-jetson-agx-orin-deployment-kit-64gb","title":"Nvidia Jetson Agx Orin Deployment Kit - 64GB","description":"\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-is-intersecting=\"true\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-testid=\"conversation-turn-32\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-is-intersecting=\"true\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-testid=\"conversation-turn-32\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" class=\"\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-50\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"d42f79f4-3c80-4114-a7c3-265742def827\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-3\" data-is-intersecting=\"true\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-3\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-3\" data-testid=\"conversation-turn-62\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"d0614071-7eb3-4c36-94cc-6857f77d87a0\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cp data-start=\"0\" data-end=\"573\" data-is-last-node=\"\" data-is-only-node=\"\"\u003eThe NVIDIA® Jetson AGX Orin™ 64GB Developer Kit is a high-performance AI computing platform designed for advanced robotics, autonomous machines, and edge AI innovation. Delivering up to 275 TOPS of AI performance in a compact form factor, it enables rapid development and prototyping for intelligent vision, automation, and real-time AI applications. Equipped with extensive connectivity options and supported by NVIDIA JetPack™, Isaac™, and Metropolis™ platforms, the developer kit provides everything needed to build, deploy, and scale next-generation AI-powered systems.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"mt-3 w-full empty:hidden\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"mt-3 w-full empty:hidden\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"product-text\" id=\"shopify-block-text_iRhCFD\"\u003e\n\u003cdiv class=\"product-text__content\"\u003e\n\u003cdiv class=\"prose-tight prose max-md:prose-sm\"\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eTechnical Specifications\u003cbr\u003e\n\u003c\/h4\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eJETSON AGX ORIN 64GB MODULE\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ctable style=\"width: 100.331%; height: 1094.6px; border-collapse: collapse;\" height=\"21\" width=\"440\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.6023px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003eFeatures\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003e\u003cspan data-font-family=\"Montserrat\"\u003eDetails\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.1989px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eGPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003c\/span\u003eNVIDIA Ampere architecture with 2048 NVIDIA\u0026amp;reg; CUDA\u0026amp;reg; cores and 64 Tensor cores\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.1989px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e 12-core Arm Cortex-A78AE v8.2 64-bit CPU\u003c\/p\u003e\n\u003cp\u003e3MB L2 + 6MB L3\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eDL Accelerator\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e2x NVDLA v2.0\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eVision Accelerator\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003ePVA v2.0\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMemory\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e64GB 256-bit LPDDR5\u003c\/p\u003e\n\u003cp\u003e204.8 GB\/s\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMemory\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e4GB 64-bit LPDDR5 34GB\/s\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eStorage\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e64GB eMMC 5.1\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eVideo Encode\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan\u003e2x 4K60 | 4x 4K30 | 8x 1080p60 | 16x 1080p30 (H.265)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eVideo Decode\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e\u003cspan\u003e1x 8K30 | 3x 4K60 | 7x 4K30 | 11x 1080p60 | 22x 1080p30 (H.265)\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv class=\"product-text\" id=\"shopify-block-text_iRhCFD\"\u003e\n\u003cdiv class=\"product-text__content\"\u003e\n\u003cdiv class=\"prose-tight prose max-md:prose-sm\"\u003e\n\u003cp\u003e\u003cstrong\u003eREFERENCE CARRIER BOARD\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ctable style=\"width: 100.331%; height: 1094.6px; border-collapse: collapse;\" height=\"21\" width=\"440\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.6023px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003eFeatures\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003e\u003cspan data-font-family=\"Montserrat\"\u003eDetails\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCamera\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003c\/span\u003e16 lane MIPI CSI-2 connector\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003ePCIe\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e x16 PCIe slot supporting x8 PCIe Gen4\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eRJ45\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003eUp to 10 GbE\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eM.2 Key M\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003ex4 PCIe Gen 4\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eM.2 Key E\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003ex1 PCIe Gen 4, USB 2.0, UART, I2S\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eUSB Type-C\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e2x USB 3.2 Gen2 witd USB-PD support\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eUSB Type-A\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e2x USB 3.2 Gen2, 2x USB 3.2 Gen1\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eUSB Micro-B\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan\u003eUSB 2.0\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eDisplayPort\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e\u003cspan\u003eDisplayPort 1.4a (+MST)\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eDisplayPort\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e\u003cspan\u003eUHS-1 cards up to SDR104 mode\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eOtder\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e\u003cspan\u003e40-pin header (I2C, GPIO, SPI, CAN, I2S, UART, DMIC) \u003cbr\u003e12-pin automation header \u003cbr\u003e10-pin audio panel header \u003cbr\u003e10-pin JTAG header \u003cbr\u003e4-pin fan header \u003cbr\u003e2-pin RTC battery backup connector \u003cbr\u003eDC power jack \u003cbr\u003ePower, Force Recovery, and Reset buttons\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eDimensions\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e\u003cspan\u003e110mm x 110mm x 71.65mm (Height includes feet, carrier board, module, and thermal solution)\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003ePart List\u003c\/h4\u003e\n\u003col\u003e\n\u003cli\u003eJetson AGX Orin module with heat sink and reference carrier board\u003c\/li\u003e\n\u003cli\u003e802.11ac\/abgn wireless Network Interface Controller\u003c\/li\u003e\n\u003cli\u003eUSB-C power adapter and cord\u003c\/li\u003e\n\u003cli\u003eQuick Start and Support Guide\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch4\u003eDocuments\u003c\/h4\u003e\n\u003cp\u003e\u003ca rel=\"noopener\" href=\"https:\/\/www.nvidia.com\/content\/dam\/en-zz\/Solutions\/gtcf21\/jetson-orin\/nvidia-jetson-agx-orin-technical-brief.pdf\" target=\"_blank\"\u003eNVIDIA Jetson AGX Orin Series Datasheet\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"32GB","offer_id":44672393052243,"sku":"ROBO08","price":190909.0,"currency_code":"INR","in_stock":true},{"title":"64GB","offer_id":44672393085011,"sku":"ROBO26","price":190909.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/HGJHK.png?v=1779273573"},{"product_id":"nvidia®-jetson-orin™-nano-super-deployment-kit-8gb","title":"NVIDIA® Jetson Orin™ Nano Super Deployment Kit - 8GB","description":"\u003cdiv 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empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-is-intersecting=\"true\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-testid=\"conversation-turn-32\" data-scroll-anchor=\"false\" 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keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" class=\"\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-50\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"d42f79f4-3c80-4114-a7c3-265742def827\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-4\" data-is-intersecting=\"true\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-4\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-4\" data-testid=\"conversation-turn-64\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"fa6c6294-bd1b-48cd-a5fe-14eed52dd7e6\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cp data-start=\"0\" data-end=\"622\" data-is-last-node=\"\" data-is-only-node=\"\"\u003eThe NVIDIA® Jetson Orin™ Nano Super Developer Kit is a compact and powerful edge AI platform designed for robotics, automation, and intelligent embedded applications. Powered by the Jetson Orin™ Nano 8GB module, it delivers up to 67 TOPS of AI performance, enabling real-time AI processing and advanced edge computing capabilities. Equipped with high-speed connectivity options including USB 3.2 Gen 2, dual M.2 slots for SSD expansion, and built-in Wi-Fi support, this developer kit provides an ideal platform for developers building next-generation AI-powered systems, smart vision applications, and autonomous machines.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp data-is-only-node=\"\" data-is-last-node=\"\" data-end=\"351\" data-start=\"0\"\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"mt-3 w-full empty:hidden\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch4\u003eFeatures\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eExcellent AI Performance for production: low power and low latency with up to 67 TOPS AI performance, featuring an Ampere architecture GPU and a 6-core ARM CPU, which enables multiple concurrent AI application pipelines and high-performance inference.\u003c\/li\u003e\n\u003cli\u003eHand-size edge AI device: compact size at 100mm x79mm x 21mm, includes Jetson Orin™ Nano 8GB module, a heatsink with a fan and a power adapter.\u003c\/li\u003e\n\u003cli\u003eExpandable with rich I\/Os: 4x USB 3.2 Gen 2 ports, DP 1.2, M.2 key E with pre-installed Wi-Fi module, 2x M.2 Key M for SSD, microSD slot, 2x MIPI CSI-2 connectors, Gigabit Ethernet, 40-pin GPIO.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv class=\"product-text\" id=\"shopify-block-text_iRhCFD\"\u003e\n\u003cdiv class=\"product-text__content\"\u003e\n\u003cdiv class=\"prose-tight prose max-md:prose-sm\"\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ctable class=\"p_2981_table\" cellpadding=\"0\" cellspacing=\"0\" width=\"935\" border=\"0\" style=\"border-collapse: collapse; width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 27.75pt;\"\u003e\n\u003ctd height=\"46\" width=\"935\" colspan=\"3\" style=\"height: 27.75pt; width: 100%; text-align: center; border: 1px solid #d1d5db; padding: 12px; font-weight: 600;\"\u003eJetson Orin Nano Super Developer Kit configuration\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 74pt;\"\u003e\n\u003ctd height=\"123\" width=\"262\" style=\"height: 74pt; width: 28%; border: 1px solid #d1d5db; padding: 12px;\"\u003e \u003c\/td\u003e\n\u003ctd width=\"351\" style=\"width: 36%; border: 1px solid #d1d5db; padding: 12px;\"\u003eNVIDIA Jetson Orin Nano Developer Kit (original)\u003c\/td\u003e\n\u003ctd width=\"320\" style=\"width: 36%; border: 1px solid #d1d5db; padding: 12px;\"\u003eNVIDIA Jetson Orin Nano Super Developer Kit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 164.65pt;\"\u003e\n\u003ctd height=\"274\" width=\"262\" style=\"height: 164.65pt; width: 28%; border: 1px solid #d1d5db; padding: 12px;\"\u003eGPU\u003c\/td\u003e\n\u003ctd width=\"351\" style=\"width: 36%; border: 1px solid #d1d5db; padding: 12px;\"\u003eNVIDIA Ampere architecture\u003cbr\u003e1,024 CUDA Cores\u003cbr\u003e32 Tensor Cores\u003cbr\u003e635 MHz\u003c\/td\u003e\n\u003ctd width=\"320\" style=\"width: 36%; border: 1px solid #d1d5db; padding: 12px;\"\u003eNVIDIA Ampere architecture\u003cbr\u003e1,024 CUDA Cores\u003cbr\u003e32 Tensor Cores\u003cbr\u003e\u003cspan class=\"font1\"\u003e1,020MHz\u003c\/span\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 108pt;\"\u003e\n\u003ctd height=\"180\" width=\"262\" style=\"height: 108pt; width: 28%; border: 1px solid #d1d5db; padding: 12px;\"\u003eAI PERF\u003c\/td\u003e\n\u003ctd width=\"351\" style=\"width: 36%; border: 1px solid #d1d5db; padding: 12px;\"\u003e40 INT8 TOPS (Sparse)\u003cbr\u003e20 INT8 TOPS (Dense)\u003cbr\u003e10 FP16 TFLOPs\u003c\/td\u003e\n\u003ctd width=\"320\" style=\"width: 36%; border: 1px solid #d1d5db; padding: 12px;\"\u003e\n\u003cspan class=\"font1\"\u003e67 TOPS (Sparse)\u003c\/span\u003e\u003cbr\u003e33 TOPS (Dense)\u003cbr\u003e17 FP16 TFLOPs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 91pt;\"\u003e\n\u003ctd height=\"151\" width=\"262\" style=\"height: 91pt; width: 28%; border: 1px solid #d1d5db; padding: 12px;\"\u003eCPU\u003c\/td\u003e\n\u003ctd width=\"351\" style=\"width: 36%; border: 1px solid #d1d5db; padding: 12px;\"\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU\u003cbr\u003e1.5 GHz\u003c\/td\u003e\n\u003ctd width=\"320\" style=\"width: 36%; border: 1px solid #d1d5db; padding: 12px;\"\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU\u003cbr\u003e\u003cspan class=\"font1\"\u003e1.7 GHz\u003c\/span\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 75pt;\"\u003e\n\u003ctd height=\"125\" width=\"262\" style=\"height: 75pt; width: 28%; border: 1px solid #d1d5db; padding: 12px;\"\u003eMemory\u003c\/td\u003e\n\u003ctd width=\"351\" style=\"width: 36%; border: 1px solid #d1d5db; padding: 12px;\"\u003e8GB 128-bit LPDDR5\u003cbr\u003e68GB\/s\u003c\/td\u003e\n\u003ctd width=\"320\" style=\"width: 36%; border: 1px solid #d1d5db; padding: 12px;\"\u003e8GB 128-bit LPDDR5\u003cbr\u003e\u003cspan class=\"font1\"\u003e102GB\/s\u003c\/span\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 29.25pt;\"\u003e\n\u003ctd height=\"48\" width=\"262\" style=\"height: 29.25pt; width: 28%; border: 1px solid #d1d5db; padding: 12px;\"\u003eMODULE POWER\u003c\/td\u003e\n\u003ctd width=\"351\" style=\"width: 36%; border: 1px solid #d1d5db; padding: 12px;\"\u003e7W | 15W\u003c\/td\u003e\n\u003ctd width=\"320\" style=\"width: 36%; border: 1px solid #d1d5db; padding: 12px;\"\u003e7W | 15W | \u003cspan class=\"font1\"\u003e25W\u003c\/span\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eSpecification\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 1209px;\" class=\"p_2981_table\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"background-color: #ecf0f1; height: 44px;\"\u003e\n\u003ctd style=\"width: 100%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" colspan=\"3\" width=\"730\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eJetson Orin Nano System on Module\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 44px;\"\u003e\n\u003ctd style=\"width: 19.0361%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eAI Performance\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 80.9639%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" colspan=\"2\" width=\"537\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eJetson Orin Nano 8GB with SD card slot on module - 67 TOPS\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78px;\"\u003e\n\u003ctd style=\"width: 19.0361%; height: 78px; border: 1px solid #d1d5db; padding: 10px;\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eGPU\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 80.9639%; height: 78px; border: 1px solid #d1d5db; padding: 10px;\" colspan=\"2\" width=\"537\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Open Sans\"\u003eNVIDIA Ampere architecture with 1024 NVIDIA® CUDA® cores and\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Open Sans\"\u003e32 Tensor cores\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 44px;\"\u003e\n\u003ctd style=\"width: 19.0361%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eCPU\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 80.9639%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" colspan=\"2\" width=\"537\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Open Sans\"\u003e6-core Arm® Cortex®-A78AE v8.2 64-bit CPU\u003c\/span\u003e \u003cspan data-font-family=\"Open Sans\"\u003e1.5MB L2 + 4MB L3\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 44px;\"\u003e\n\u003ctd style=\"width: 19.0361%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eMemory\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 80.9639%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" colspan=\"2\" width=\"537\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Open Sans\"\u003e8GB 128-bit LPDDR5 102 GB\/s\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 44px;\"\u003e\n\u003ctd style=\"width: 19.0361%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Helvetica Neue,Helvetica,PingFang SC,Microsoft YaHei,Source Han Sans SC,Noto Sans CJK SC,WenQuanYi Micro Hei,sans-serif\"\u003eVideo Encoder\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 80.9639%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" colspan=\"2\" width=\"537\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Helvetica Neue,Helvetica,PingFang SC,Microsoft YaHei,Source Han Sans SC,Noto Sans CJK SC,WenQuanYi Micro Hei,sans-serif\"\u003e1080p30 supported by 1-2 CPU cores\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 44px;\"\u003e\n\u003ctd style=\"width: 19.0361%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Helvetica Neue,Helvetica,PingFang SC,Microsoft YaHei,Source Han Sans SC,Noto Sans CJK SC,WenQuanYi Micro Hei,sans-serif\"\u003eVideo Decoder\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 80.9639%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" colspan=\"2\" width=\"537\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Helvetica Neue,Helvetica,PingFang SC,Microsoft YaHei,Source Han Sans SC,Noto Sans CJK SC,WenQuanYi Micro Hei,sans-serif\"\u003e1x 4K60 (H.265) | 2x 4K30 (H.265) | 5x 1080p60 (H.265) | 11x 1080p30 (H.265)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 44px;\"\u003e\n\u003ctd style=\"width: 19.0361%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003ePower\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"height: 44px; width: 80.9639%; border: 1px solid #d1d5db; padding: 10px;\" colspan=\"2\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e7W-25W\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background-color: #ecf0f1; height: 44px;\"\u003e\n\u003ctd style=\"width: 100%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" colspan=\"3\" width=\"730\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eCarrier Board\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 44px;\"\u003e\n\u003ctd style=\"width: 37.3494%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" colspan=\"2\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eStorage\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 62.6506%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e1x microSD slot (UHS-1 cards up to SDR104 mode)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 44px;\"\u003e\n\u003ctd style=\"width: 19.0361%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eNetworking\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 18.3133%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" width=\"213\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Helvetica Neue,Helvetica,PingFang SC,Microsoft YaHei,Source Han Sans SC,Noto Sans CJK SC,WenQuanYi Micro Hei,sans-serif\"\u003eEthernet\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 62.6506%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" width=\"324\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Helvetica Neue,Helvetica,PingFang SC,Microsoft YaHei,Source Han Sans SC,Noto Sans CJK SC,WenQuanYi Micro Hei,sans-serif\"\u003e1x Gigabit Ethernet (10\/100\/1000M)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 61px;\"\u003e\n\u003ctd style=\"height: 61px; width: 19.0361%; border: 1px solid #d1d5db; padding: 10px;\" rowspan=\"2\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003ePCIe\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 18.3133%; height: 61px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eM.2 KEY M\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 62.6506%; height: 61px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e4x PCIe GEN3\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e2x PCIe GEN3\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78px;\"\u003e\n\u003ctd style=\"width: 18.3133%; height: 78px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eM.2 KEY E\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 62.6506%; height: 78px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Open Sans\"\u003e1x M.2 Key E (pre-installed 1x Wi-Fi\/Bluetooth combo module); PCIe (x1), USB 2.0, UART, I2S, and I2C\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78px;\"\u003e\n\u003ctd style=\"width: 19.0361%; height: 376px; border: 1px solid #d1d5db; padding: 10px;\" rowspan=\"7\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eI\/O\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 18.3133%; height: 78px; border: 1px solid #d1d5db; padding: 10px;\" width=\"213\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Helvetica Neue,Helvetica,PingFang SC,Microsoft YaHei,Source Han Sans SC,Noto Sans CJK SC,WenQuanYi Micro Hei,sans-serif\"\u003eUSB\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 62.6506%; height: 78px; border: 1px solid #d1d5db; padding: 10px;\" width=\"324\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e4x Type A USB 3.2 Gen2\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e1x Type C for UFP\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 44px;\"\u003e\n\u003ctd style=\"width: 18.3133%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" width=\"213\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eCSI Camera\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 62.6506%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" width=\"324\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e2x MIPI CSI-2 (22pin)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 44px;\"\u003e\n\u003ctd style=\"width: 18.3133%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" width=\"213\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eDisplay\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 62.6506%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" width=\"324\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e1x DP 1.2 (+MST) connector\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 44px;\"\u003e\n\u003ctd style=\"width: 18.3133%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" width=\"213\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eFan\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 62.6506%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" width=\"324\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e1x 4 pin Fan Connector (5V PWM)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 44px;\"\u003e\n\u003ctd style=\"width: 18.3133%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" width=\"213\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eCAN\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 62.6506%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" width=\"324\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e1x CAN\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78px;\"\u003e\n\u003ctd style=\"width: 18.3133%; height: 78px; border: 1px solid #d1d5db; padding: 10px;\" width=\"213\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Open Sans\"\u003eMultifunctional Port\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 62.6506%; height: 78px; border: 1px solid #d1d5db; padding: 10px;\" width=\"324\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Open Sans\"\u003e1x 40-Pin Expansion header\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Open Sans\"\u003e1x 12-Pin Control and UART header\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 44px;\"\u003e\n\u003ctd style=\"width: 18.3133%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" width=\"213\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Open Sans\"\u003eRTC\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 62.6506%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" width=\"324\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Open Sans\"\u003eRTC 2-pin, supports CR1220 but not included\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 44px;\"\u003e\n\u003ctd style=\"width: 37.3494%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" colspan=\"2\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003ePower Supply\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 62.6506%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e9V-19V DC\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 44px;\"\u003e\n\u003ctd style=\"width: 37.3494%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" colspan=\"2\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Open Sans\"\u003eMechanical (W x D x H)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 62.6506%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Open Sans\"\u003e100mm x 79mm x 21mm\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 44px;\"\u003e\n\u003ctd style=\"height: 44px; width: 37.3494%; border: 1px solid #d1d5db; padding: 10px;\" colspan=\"2\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eProduct Weight\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 62.6506%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e0.176 kg\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 44px;\"\u003e\n\u003ctd style=\"width: 37.3494%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\" colspan=\"2\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eWarranty\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 62.6506%; height: 44px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Open Sans\"\u003e1-year warranty for development use only\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4\u003eApplication\u003cbr\u003e\n\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eAI Video Analytics\u003c\/li\u003e\n\u003cli\u003eMachine Vision\u003c\/li\u003e\n\u003cli\u003eAutonomous Mobile Robot (AMR)\u003c\/li\u003e\n\u003cli\u003eGenerative AI\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003e\u003c\/h4\u003e\n\u003ch4\u003ePart List\u003c\/h4\u003e\n\u003col\u003e\n\u003cli\u003eNVIDIA Jetson Orin™ Nano Super Developer Kit x1\u003c\/li\u003e\n\u003cli\u003e19V Power Adapter x1\u003c\/li\u003e\n\u003cli\u003eType B (US, JP, CA, PH) Power Cable x1\u003c\/li\u003e\n\u003cli\u003eType I (CN) Power Cable x1\u003c\/li\u003e\n\u003cli\u003eUPC Label x1\u003c\/li\u003e\n\u003cli\u003eQuick Start and Support Guide x1\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch4\u003eDocuments\u003c\/h4\u003e\n\u003cp\u003eNVIDIA® Jetson Orin™ Nano Super Developer Kit\u003cbr\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"8GB","offer_id":44664288510035,"sku":"ROBO09","price":47699.99,"currency_code":"INR","in_stock":true},{"title":"16GB","offer_id":44664288542803,"sku":"ROBO16","price":47699.99,"currency_code":"INR","in_stock":true},{"title":"4GB","offer_id":44664559861843,"sku":"ROBO25","price":47699.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/1-102110839-nvidia-jetson-orin-nano-developer-kit.jpg?v=1779275827"},{"product_id":"nvidia®-dgx™-spark-940-54242-0000-000","title":"NVIDIA® DGX™ Spark (940-54242-0000-000)","description":"\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-is-intersecting=\"true\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-testid=\"conversation-turn-32\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-is-intersecting=\"true\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-testid=\"conversation-turn-32\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" class=\"\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-50\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"d42f79f4-3c80-4114-a7c3-265742def827\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-4\" data-is-intersecting=\"true\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-4\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-4\" data-testid=\"conversation-turn-64\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"fa6c6294-bd1b-48cd-a5fe-14eed52dd7e6\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a0e9e6d-9b6c-8323-bcf8-4eea89bc96dc-0\" data-is-intersecting=\"true\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a0e9e6d-9b6c-8323-bcf8-4eea89bc96dc-0\" data-turn-id-container=\"request-6a0e9e6d-9b6c-8323-bcf8-4eea89bc96dc-0\" data-testid=\"conversation-turn-18\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"2a7f76f4-e32e-4d1c-99d0-e8d6d9b88264\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cp data-start=\"0\" data-end=\"386\"\u003eThe NVIDIA® DGX™ Spark (940-54242-0000-000) is a compact yet powerful AI computing platform designed to accelerate next-generation AI development and deployment. Powered by the advanced NVIDIA GB10 Grace Blackwell Superchip, it delivers up to one petaFLOP of AI performance in an energy-efficient form factor, making it ideal for developers, researchers, and enterprise AI applications.\u003c\/p\u003e\n\u003cp data-start=\"388\" data-end=\"792\" data-is-last-node=\"\" data-is-only-node=\"\"\u003eEquipped with 128GB of high-speed memory and the preinstalled NVIDIA AI software stack, DGX Spark enables seamless prototyping, fine-tuning, and inference of modern reasoning and generative AI models with up to 200 billion parameters. Optimized for large language models, deep learning, robotics, and edge AI workloads, it provides a powerful local AI development environment for cutting-edge innovation.\u003c\/p\u003e\n\u003cp data-start=\"388\" data-end=\"792\" data-is-last-node=\"\" data-is-only-node=\"\"\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"mt-3 w-full empty:hidden\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch4\u003eFeatures\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA GB10 Grace Blackwell Superchip:\u003c\/strong\u003e Powered by the advanced NVIDIA GB10 Grace Blackwell architecture, the system delivers up to 1 petaFLOP of AI computing performance at FP4 precision for demanding AI and generative workloads.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e128GB Unified System Memory:\u003c\/strong\u003e Equipped with 128GB of high-speed coherent unified memory, enabling seamless AI development, testing, fine-tuning, and inference for models with up to 200 billion parameters directly from your desktop environment.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA ConnectX™ High-Speed Networking:\u003c\/strong\u003e Integrated NVIDIA ConnectX™ networking allows multiple NVIDIA DGX Spark systems to be connected together, supporting larger AI workloads and enabling processing of models with up to 405 billion parameters.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA AI Software Ecosystem:\u003c\/strong\u003e Comes with the complete NVIDIA AI software stack, including optimized frameworks, libraries, development tools, and NVIDIA NIM microservices for accelerated generative AI, deep learning, and enterprise AI deployment.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv class=\"product-text\"\u003e\n\u003cdiv class=\"product-text__content\"\u003e\n\u003cdiv class=\"prose-tight prose max-md:prose-sm\"\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eSpecifications\u003c\/h4\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\n.p_2981_table {\n  width: 100%;\n  border-collapse: collapse;\n}\n\n.p_2981_table td,\n.p_2981_table th {\n  border: 1px solid #dcdcdc;\n  padding: 10px;\n  vertical-align: top;\n}\n\u003c\/style\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-is-intersecting=\"true\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-testid=\"conversation-turn-32\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-is-intersecting=\"true\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-testid=\"conversation-turn-32\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"product-text\" id=\"shopify-block-text_iRhCFD\"\u003e\n\u003cdiv class=\"product-text__content\"\u003e\n\u003cdiv class=\"prose-tight prose max-md:prose-sm\"\u003e\n\u003ctable class=\"p_2981_table\" style=\"width: 99.9589%; height: 644.27px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 35.5729px;\"\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"211.93333333333334\" style=\"width: 37.9809%; height: 35.5729px;\"\u003e\n\u003cp\u003eArchitecture\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"317\" style=\"width: 56.81%; height: 35.5729px;\"\u003e\n\u003cp\u003eNVIDIA Grace Blackwell\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 37.9809%; height: 19.5833px;\"\u003eGPU\u003c\/td\u003e\n\u003ctd style=\"width: 56.81%; height: 19.5833px;\"\u003eNVIDIA Blackwell Architecture\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.1458px;\"\u003e\n\u003ctd style=\"width: 37.9809%; height: 71.1458px;\"\u003eCPU\u003c\/td\u003e\n\u003ctd style=\"width: 56.81%; height: 71.1458px;\"\u003e\n\u003cp\u003e20 core Arm, 10 Cortex-X925\u003c\/p\u003e\n\u003cp\u003e+ 10 Cortex-A725 Arm\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 37.9809%; height: 19.5833px;\"\u003eCUDA Cores\u003c\/td\u003e\n\u003ctd style=\"width: 56.81%; height: 19.5833px;\"\u003eNVIDIA Blackwell Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 37.9809%; height: 19.5833px;\"\u003eTensor Cores\u003c\/td\u003e\n\u003ctd style=\"width: 56.81%; height: 19.5833px;\"\u003e5th Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 37.9809%; height: 19.5833px;\"\u003eRT Cores\u003c\/td\u003e\n\u003ctd style=\"width: 56.81%; height: 19.5833px;\"\u003e4th Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.75px;\"\u003e\n\u003ctd style=\"width: 37.9809%; height: 58.75px;\"\u003eTensor Performance (Theoretical FP4 TOPS using the sparsity feature)\u003c\/td\u003e\n\u003ctd style=\"width: 56.81%; height: 58.75px;\"\u003e1 PFLOP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 55.1562px;\"\u003e\n\u003ctd style=\"width: 37.9809%; height: 55.1562px;\"\u003eSystem Memory\u003c\/td\u003e\n\u003ctd style=\"width: 56.81%; height: 55.1562px;\"\u003e\n\u003cp\u003e128 GB LPDDR5x, coherent unified system memory\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 37.9809%; height: 19.5833px;\"\u003eMemory Interface\u003c\/td\u003e\n\u003ctd style=\"width: 56.81%; height: 19.5833px;\"\u003e256-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 37.9809%; height: 19.5833px;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"width: 56.81%; height: 19.5833px;\"\u003eUp to 273 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 37.9809%; height: 19.5833px;\"\u003eStorage\u003c\/td\u003e\n\u003ctd style=\"width: 56.81%; height: 19.5833px;\"\u003e4 TB NVME.M2 with self-encryption\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 37.9809%; height: 19.5833px;\"\u003eUSB\u003c\/td\u003e\n\u003ctd style=\"width: 56.81%; height: 19.5833px;\"\u003e4x USB TypeC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.1458px;\"\u003e\n\u003ctd style=\"width: 37.9809%; height: 71.1458px;\"\u003eEthernet\u003c\/td\u003e\n\u003ctd style=\"width: 56.81%; height: 71.1458px;\"\u003e\n\u003cp\u003e1x RJ-45 connector\u003c\/p\u003e\n\u003cp\u003e10 GbE\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 37.9809%; height: 19.5833px;\"\u003eNIC\u003c\/td\u003e\n\u003ctd style=\"width: 56.81%; height: 19.5833px;\"\u003eConnectX-7 NIC @ 200 Gbps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 37.9809%; height: 19.5833px;\"\u003eWi-Fi\u003c\/td\u003e\n\u003ctd style=\"width: 56.81%; height: 19.5833px;\"\u003eWiFi 7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 37.9809%; height: 19.5833px;\"\u003eBluetooth\u003c\/td\u003e\n\u003ctd style=\"width: 56.81%; height: 19.5833px;\"\u003eBT 5.4 w\/LE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 37.9809%; height: 19.5833px;\"\u003eAudio-output\u003c\/td\u003e\n\u003ctd style=\"width: 56.81%; height: 19.5833px;\"\u003eHDMI multichannel audio output\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 37.9809%; height: 19.5833px;\"\u003ePower Supply\u003c\/td\u003e\n\u003ctd style=\"width: 56.81%; height: 19.5833px;\"\u003e240W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 37.9809%; height: 19.5833px;\"\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd style=\"width: 56.81%; height: 19.5833px;\"\u003e1x HDMI 2.1a\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 37.9809%; height: 19.5833px;\"\u003eNVENC | NVDEC\u003c\/td\u003e\n\u003ctd style=\"width: 56.81%; height: 19.5833px;\"\u003e1x | 1x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 37.9809%; height: 19.5833px;\"\u003eOS\u003c\/td\u003e\n\u003ctd style=\"width: 56.81%; height: 19.5833px;\"\u003eNVIDIA DGX™ OS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 37.9809%; height: 19.5833px;\"\u003eSystem Dimensions\u003c\/td\u003e\n\u003ctd style=\"width: 56.81%; height: 19.5833px;\"\u003e150 mm L x 150 mm W x 50.5 mm H\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5833px;\"\u003e\n\u003ctd style=\"width: 37.9809%; height: 19.5833px;\"\u003eSystem Weight\u003c\/td\u003e\n\u003ctd style=\"width: 56.81%; height: 19.5833px;\"\u003e1.2 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4\u003eApplication\u003cbr\u003e\n\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003ePrototyping\u003c\/li\u003e\n\u003cli\u003eFine-Tuning\u003c\/li\u003e\n\u003cli\u003eInference\u003c\/li\u003e\n\u003cli\u003eData Science\u003c\/li\u003e\n\u003cli\u003eEdge Applications\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003ePart List\u003c\/h4\u003e\n\u003col\u003e\n\u003cli\u003eQuick Start Guide x1\u003c\/li\u003e\n\u003cli\u003ePower Supply x1\u003c\/li\u003e\n\u003cli\u003ePower Cord\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch4\u003eDocuments\u003c\/h4\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"html_content_2981\"\u003e\n\u003cdiv class=\"documents_list\"\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/nvdam.widen.net\/s\/tlzm8smqjx\/workstation-datasheet-dgx-spark-gtc25-spring-nvidia-us-3716899-web\" target=\"_blank\"\u003e\u003cspan data-font-family=\"default\"\u003eD\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eatasheet\u003c\/span\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/docs.nvidia.com\/dgx\/dgx-spark\/index.html\" target=\"_blank\"\u003e\u003cspan data-font-family=\"default\"\u003eU\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003es\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ee\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003er\u003c\/span\u003e\u003cspan\u003e \u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eM\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ea\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003en\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eu\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ea\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003el\u003c\/span\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/www.nvidia.com\/content\/dam\/en-zz\/Solutions\/dgx-spark\/DGX-Spark-Quick-Start-Guide.pdf\" target=\"_blank\"\u003e\u003cspan data-font-family=\"default\"\u003eQ\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eu\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ei\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ec\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ek\u003c\/span\u003e\u003cspan\u003e \u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eS\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003et\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ea\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003er\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003et\u003c\/span\u003e\u003cspan\u003e \u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eG\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eu\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ei\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ed\u003c\/span\u003e\u003cspan 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Deployment Kit - 16GB","description":"\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-is-intersecting=\"true\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-testid=\"conversation-turn-32\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-is-intersecting=\"true\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-testid=\"conversation-turn-32\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" class=\"\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-50\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"d42f79f4-3c80-4114-a7c3-265742def827\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-4\" data-is-intersecting=\"true\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-4\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-4\" data-testid=\"conversation-turn-64\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"fa6c6294-bd1b-48cd-a5fe-14eed52dd7e6\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cp\u003eThe NVIDIA® Jetson Orin™ Nano Super Developer Kit – 16GB is a high-performance edge AI platform built for advanced robotics, AI vision, automation, and embedded computing applications. Powered by the NVIDIA Jetson Orin™ Nano architecture, it delivers exceptional AI processing capabilities for real-time inference, autonomous systems, and next-generation AI workloads in a compact and energy-efficient form factor.\u003c\/p\u003e\n\u003cp\u003eDesigned for developers, researchers, and AI innovators, the kit features high-speed connectivity, expandable storage options, advanced multimedia support, and rich I\/O interfaces to accelerate AI-powered product development. With enhanced memory capacity, powerful GPU architecture, and optimized edge computing performance, it provides an ideal platform for machine vision, generative AI, robotics, and industrial automation applications.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp data-is-only-node=\"\" data-is-last-node=\"\" data-end=\"351\" data-start=\"0\"\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"mt-3 w-full empty:hidden\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch4\u003eFeatures\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003ePowered by NVIDIA Jetson Orin™ Nano 16GB module\u003c\/li\u003e\n\u003cli\u003eAdvanced NVIDIA Ampere GPU architecture with CUDA® and Tensor Cores\u003c\/li\u003e\n\u003cli\u003eHigh-performance AI processing for robotics and edge AI applications\u003c\/li\u003e\n\u003cli\u003eCompact and power-efficient edge AI development platform\u003c\/li\u003e\n\u003cli\u003eSupports real-time AI inference and multiple AI pipelines\u003c\/li\u003e\n\u003cli\u003e16GB LPDDR5 high-bandwidth memory for demanding workloads\u003c\/li\u003e\n\u003cli\u003eDual M.2 Key M slots for SSD storage expansion\u003c\/li\u003e\n\u003cli\u003eWi-Fi \u0026amp; Bluetooth support via M.2 Key E\u003c\/li\u003e\n\u003cli\u003e4× USB 3.2 Gen2 Type-A ports\u003c\/li\u003e\n\u003cli\u003e1× USB Type-C port for device mode\u003c\/li\u003e\n\u003cli\u003e2× MIPI CSI-2 camera connectors for machine vision applications\u003c\/li\u003e\n\u003cli\u003eGigabit Ethernet connectivity\u003c\/li\u003e\n\u003cli\u003eDisplayPort output support\u003c\/li\u003e\n\u003cli\u003e40-pin GPIO expansion header for embedded development\u003c\/li\u003e\n\u003cli\u003eOptimized for AI video analytics, robotics, machine vision, and generative AI\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv class=\"product-text\"\u003e\n\u003cdiv class=\"product-text__content\"\u003e\n\u003cdiv class=\"prose-tight prose max-md:prose-sm\"\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\n.custom-spec-table {\n  width: 100%;\n  border-collapse: collapse;\n  font-family: Arial, sans-serif;\n}\n\n.custom-spec-table td,\n.custom-spec-table th {\n  border: 1px solid #dcdcdc;\n  padding: 12px;\n  text-align: left;\n  vertical-align: top;\n}\n\n.custom-spec-table th {\n  background-color: #ecf0f1;\n  font-weight: 600;\n}\n\u003c\/style\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-is-intersecting=\"true\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-testid=\"conversation-turn-32\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-is-intersecting=\"true\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-testid=\"conversation-turn-32\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"product-text\" id=\"shopify-block-text_iRhCFD\"\u003e\n\u003cdiv class=\"product-text__content\"\u003e\n\u003cdiv class=\"prose-tight prose max-md:prose-sm\"\u003e\n\u003ctable class=\"custom-spec-table\"\u003e\n\u003ctbody\u003e\n\u003c!-- Jetson Orin Nano System on Module --\u003e\n\u003ctr\u003e\n\u003cth colspan=\"2\"\u003eJetson Orin Nano System on Module\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eDetails\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003eAdvanced Edge AI Computing Performance\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Ampere Architecture GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCUDA Cores\u003c\/td\u003e\n\u003ctd\u003e1024 NVIDIA® CUDA® Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTensor Cores\u003c\/td\u003e\n\u003ctd\u003e32 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e6-core Arm® Cortex®-A78AE 64-bit CPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e16GB LPDDR5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd\u003eHigh-Speed LPDDR5 Memory Architecture\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Modes\u003c\/td\u003e\n\u003ctd\u003eOptimized Low-Power AI Computing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c!-- Carrier Board Specifications --\u003e\n\u003ctr\u003e\n\u003cth colspan=\"2\"\u003eCarrier Board Specifications\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFeature\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eDetails\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003emicroSD Card Slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSSD Expansion\u003c\/td\u003e\n\u003ctd\u003e2× M.2 Key M\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetworking\u003c\/td\u003e\n\u003ctd\u003e1× Gigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless Connectivity\u003c\/td\u003e\n\u003ctd\u003eWi-Fi \u0026amp; Bluetooth Support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB Ports\u003c\/td\u003e\n\u003ctd\u003e4× USB 3.2 Gen2 Type-A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB Type-C\u003c\/td\u003e\n\u003ctd\u003e1× USB Type-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera Interface\u003c\/td\u003e\n\u003ctd\u003e2× MIPI CSI-2 Connectors\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay Output\u003c\/td\u003e\n\u003ctd\u003e1× DisplayPort\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPIO\u003c\/td\u003e\n\u003ctd\u003e40-pin Expansion Header\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCooling\u003c\/td\u003e\n\u003ctd\u003eActive Cooling Fan Support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Input\u003c\/td\u003e\n\u003ctd\u003eDC Power Input\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eForm Factor\u003c\/td\u003e\n\u003ctd\u003eCompact Embedded Design\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4\u003eApplication\u003cbr\u003e\n\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli data-section-id=\"5z8ntb\" data-start=\"2748\" data-end=\"2782\"\u003eRobotics \u0026amp; Autonomous Machines\u003c\/li\u003e\n\u003cli data-section-id=\"15r6uw7\" data-start=\"2783\" data-end=\"2805\"\u003eAI Video Analytics\u003c\/li\u003e\n\u003cli data-section-id=\"1rioht5\" data-start=\"2806\" data-end=\"2824\"\u003eMachine Vision\u003c\/li\u003e\n\u003cli data-section-id=\"1av8uy8\" data-start=\"2825\" data-end=\"2850\"\u003eIndustrial Automation\u003c\/li\u003e\n\u003cli data-section-id=\"10nht86\" data-start=\"2851\" data-end=\"2873\"\u003eSmart Surveillance\u003c\/li\u003e\n\u003cli data-section-id=\"zhti44\" data-start=\"2874\" data-end=\"2891\"\u003eGenerative AI\u003c\/li\u003e\n\u003cli data-section-id=\"16dr9zk\" data-start=\"2892\" data-end=\"2915\"\u003eEdge AI Development\u003c\/li\u003e\n\u003cli data-section-id=\"13t91sa\" data-start=\"2916\" data-end=\"2950\"\u003eAutonomous Mobile Robots (AMR)\u003c\/li\u003e\n\u003cli data-section-id=\"14cq2ew\" data-start=\"2951\" data-end=\"2974\"\u003eEmbedded AI Systems\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003ePart List\u003c\/h4\u003e\n\u003col\u003e\n\u003cli data-section-id=\"gkplwy\" data-start=\"3002\" data-end=\"3061\"\u003eNVIDIA® Jetson Orin™ Nano Super Developer Kit – 16GB ×1\u003c\/li\u003e\n\u003cli data-section-id=\"1maeuiu\" data-start=\"3062\" data-end=\"3082\"\u003ePower Adapter ×1\u003c\/li\u003e\n\u003cli data-section-id=\"1ukvpco\" data-start=\"3083\" data-end=\"3101\"\u003ePower Cable ×1\u003c\/li\u003e\n\u003cli data-section-id=\"1rossi9\" data-start=\"3102\" data-end=\"3126\"\u003eQuick Start Guide ×1\u003c\/li\u003e\n\u003cli data-section-id=\"14xu3n7\" data-start=\"3127\" data-end=\"3153\" data-is-last-node=\"\"\u003eSupport Documentation ×1\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch4\u003eDocuments\u003c\/h4\u003e\n\u003cp\u003eNVIDIA® Jetson Orin™ Nano Super Developer Kit\u003cbr\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"16GB","offer_id":44664559370323,"sku":"ROBO16","price":47699.99,"currency_code":"INR","in_stock":true},{"title":"8GB","offer_id":44664559403091,"sku":"ROBO09","price":47699.99,"currency_code":"INR","in_stock":true},{"title":"4GB","offer_id":44664559435859,"sku":"ROBO25","price":47699.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/2-102110839-nvidia-jetson-orin-nano-developer-kit.jpg?v=1779275827"},{"product_id":"nvidia®-jetson-orin™-nano-super-deployment-kit-4gb","title":"NVIDIA® Jetson Orin™ Nano Super Deployment Kit - 4GB","description":"\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-is-intersecting=\"true\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-testid=\"conversation-turn-32\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-is-intersecting=\"true\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-testid=\"conversation-turn-32\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" class=\"\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-50\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"d42f79f4-3c80-4114-a7c3-265742def827\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-4\" data-is-intersecting=\"true\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-4\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-4\" data-testid=\"conversation-turn-64\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"fa6c6294-bd1b-48cd-a5fe-14eed52dd7e6\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cp\u003eThe NVIDIA® Jetson Orin™ Nano Deployment Kit – 4GB is a compact and powerful edge AI platform designed for robotics, automation, computer vision, and embedded AI applications. Powered by the NVIDIA Jetson Orin™ Nano 4GB module, it delivers up to 20 TOPS of AI performance, enabling efficient real-time AI inference and intelligent edge computing for next-generation AI projects.\u003c\/p\u003e\n\u003cp\u003eBuilt for developers, researchers, and AI innovators, the deployment kit features high-speed connectivity, expandable NVMe storage support, rich I\/O interfaces, and advanced NVIDIA Ampere GPU architecture. Its compact design and energy-efficient performance make it ideal for smart vision systems, autonomous robots, industrial AI, and edge computing deployments.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp data-is-only-node=\"\" data-is-last-node=\"\" data-end=\"351\" data-start=\"0\"\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"mt-3 w-full empty:hidden\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch4\u003eFeatures\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003ePowered by NVIDIA Jetson Orin™ Nano 4GB module\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eUp to 20 TOPS AI performance for edge AI workloads\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eNVIDIA Ampere GPU architecture with CUDA® and Tensor Cores\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eCompact and energy-efficient embedded AI platform\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eSupports AI inference, robotics, and machine vision applications\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e4GB LPDDR5 high-speed memory\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eNVMe SSD expansion support via M.2 Key M\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eGigabit Ethernet connectivity\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eUSB 3.2 Gen2 high-speed ports\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eMIPI CSI camera support for AI vision applications\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eWi-Fi \u0026amp; Bluetooth expansion support via M.2 Key E\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eGPIO expansion header for embedded development\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eOptimized for ROS, AI frameworks, and edge AI deployment\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eIdeal for autonomous robots, AI cameras, and industrial automation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv class=\"product-text\" id=\"shopify-block-text_iRhCFD\"\u003e\n\u003cdiv class=\"product-text__content\"\u003e\n\u003cdiv class=\"prose-tight prose max-md:prose-sm\"\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eSpecification\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100.083%; height: 1219.86px;\" class=\"p_2981_table\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"background-color: rgb(236, 240, 241); height: 43.9915px;\"\u003e\n\u003ctd style=\"width: 99.9836%; height: 43.9915px; border: 1px solid rgb(209, 213, 219); padding: 10px;\" colspan=\"2\" width=\"730\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eJetson Orin Nano System on Module\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 55.1989px;\"\u003e\n\u003ctd style=\"width: 40.9548%; height: 55.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eAI Performance\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 59.0288%; height: 55.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\" width=\"537\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eUp to 20 TOPS\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 77.9972px;\"\u003e\n\u003ctd style=\"width: 40.9548%; height: 77.9972px; border: 1px solid rgb(209, 213, 219); padding: 10px;\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eGPU\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 59.0288%; height: 77.9972px; border: 1px solid rgb(209, 213, 219); padding: 10px;\" width=\"537\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Open Sans\"\u003eNVIDIA Ampere architecture with 512 NVIDIA® CUDA® cores and \u003c\/span\u003e\u003cspan data-font-family=\"Open Sans\"\u003e16 Tensor cores\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 43.9915px;\"\u003e\n\u003ctd style=\"width: 40.9548%; height: 43.9915px; border: 1px solid rgb(209, 213, 219); padding: 10px;\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eCPU\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 59.0288%; height: 43.9915px; border: 1px solid rgb(209, 213, 219); padding: 10px;\" width=\"537\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Open Sans\"\u003e\u003c\/span\u003e6-core Arm® Cortex®-A78AE 64-bit CPU\u003cspan data-font-family=\"Open Sans\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 43.9915px;\"\u003e\n\u003ctd style=\"width: 40.9548%; height: 43.9915px; border: 1px solid rgb(209, 213, 219); padding: 10px;\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eMemory\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 59.0288%; height: 43.9915px; border: 1px solid rgb(209, 213, 219); padding: 10px;\" width=\"537\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Open Sans\"\u003e4GB 64-bit LPDDR5\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 55.1989px;\"\u003e\n\u003ctd style=\"width: 40.9548%; height: 55.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Helvetica Neue,Helvetica,PingFang SC,Microsoft YaHei,Source Han Sans SC,Noto Sans CJK SC,WenQuanYi Micro 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width=\"537\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Helvetica Neue,Helvetica,PingFang SC,Microsoft YaHei,Source Han Sans SC,Noto Sans CJK SC,WenQuanYi Micro Hei,sans-serif\"\u003e7W – 10W\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"background-color: rgb(236, 240, 241); height: 43.9915px;\"\u003e\n\u003ctd style=\"width: 99.9836%; height: 43.9915px; border: 1px solid rgb(209, 213, 219); padding: 10px;\" colspan=\"2\" width=\"730\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eCarrier Board\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 55.1989px;\"\u003e\n\u003ctd style=\"width: 40.9548%; height: 55.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eStorage Support\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 59.0288%; height: 55.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eExternal NVMe SSD\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 43.9915px;\"\u003e\n\u003ctd style=\"width: 40.9548%; height: 43.9915px; border: 1px solid rgb(209, 213, 219); padding: 10px;\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eEthernet\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 59.0288%; height: 43.9915px; border: 1px solid rgb(209, 213, 219); padding: 10px;\" width=\"324\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Helvetica Neue,Helvetica,PingFang SC,Microsoft YaHei,Source Han Sans SC,Noto Sans CJK SC,WenQuanYi Micro Hei,sans-serif\"\u003e1× Gigabit Ethernet\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 43.9915px;\"\u003e\n\u003ctd style=\"width: 40.9548%; height: 43.9915px; border: 1px solid rgb(209, 213, 219); padding: 10px;\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eUSB Ports\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 59.0288%; height: 43.9915px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eUSB 3.2 Gen2 Ports\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 43.9915px;\"\u003e\n\u003ctd style=\"width: 40.9548%; height: 43.9915px; border: 1px solid rgb(209, 213, 219); padding: 10px;\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Open Sans\"\u003eUSB Type-C\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 59.0288%; height: 43.9915px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Open 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border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Open Sans\"\u003eM.2 Key M\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 43.9915px;\"\u003e\n\u003ctd style=\"width: 40.9548%; height: 43.9915px; border: 1px solid rgb(209, 213, 219); padding: 10px;\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eWireless Expansion\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 59.0288%; height: 43.9915px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eM.2 Key E\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 43.9915px;\"\u003e\n\u003ctd style=\"width: 40.9548%; height: 43.9915px; border: 1px solid rgb(209, 213, 219); padding: 10px;\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eGPIO\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 59.0288%; height: 43.9915px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e40-pin Expansion Header\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 43.9915px;\"\u003e\n\u003ctd style=\"width: 40.9548%; height: 43.9915px; border: 1px solid rgb(209, 213, 219); padding: 10px;\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eDisplay Output\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 59.0288%; height: 43.9915px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eDisplayPort\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 43.9915px;\"\u003e\n\u003ctd style=\"width: 40.9548%; height: 43.9915px; border: 1px solid rgb(209, 213, 219); padding: 10px;\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003ePower Input\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 59.0288%; height: 43.9915px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eDC Input\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 43.9915px;\"\u003e\n\u003ctd style=\"width: 40.9548%; height: 43.9915px; border: 1px solid rgb(209, 213, 219); padding: 10px;\" width=\"193\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eForm Factor\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 59.0288%; height: 43.9915px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eCompact Embedded Design\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4\u003eApplication\u003cbr\u003e\n\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eRobotics \u0026amp; Automation\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eEdge AI Computing\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eComputer Vision\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eAI Video Analytics\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eAutonomous Mobile Robots (AMR)\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eSmart Surveillance\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eIndustrial AI\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eEmbedded AI Development\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eROS \u0026amp; AI Research Projects\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003ePart List\u003c\/h4\u003e\n\u003col\u003e\n\u003cli\u003eNVIDIA® Jetson Orin™ Nano 4GB Module ×1\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eDeployment Carrier Board ×1\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003ePower Adapter ×1\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eWireless Module ×1\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eNVMe SSD (Variant Dependent) ×1\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eQuick Start Guide ×1\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eDocuments\u003c\/h4\u003e\n\u003cp\u003eNVIDIA® Jetson Orin™ Nano Super Developer Kit\u003cbr\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"4GB","offer_id":44664557994067,"sku":"ROBO25","price":47699.99,"currency_code":"INR","in_stock":true},{"title":"8GB","offer_id":44664557830227,"sku":"ROBO09","price":47699.99,"currency_code":"INR","in_stock":true},{"title":"16GB","offer_id":44664557862995,"sku":"ROBO16","price":47699.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/jetson-orin-nano-4g-dev-kit-4_16_720x_27387823-9899-48ff-b88f-0f48e17c66e3.webp?v=1779880762"},{"product_id":"nvidia-jetson-agx-orin-deployment-kit-32gb","title":"Nvidia Jetson Agx Orin Deployment Kit - 32GB","description":"\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" class=\"\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-32\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 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data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" class=\"\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-32\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-is-intersecting=\"true\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-testid=\"conversation-turn-50\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"d42f79f4-3c80-4114-a7c3-265742def827\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-3\" class=\"\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-62\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-3\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-3\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"d0614071-7eb3-4c36-94cc-6857f77d87a0\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cp\u003eThe NVIDIA® Jetson AGX Orin™ Developer Kit – 32GB is a powerful edge AI and robotics development platform engineered for autonomous machines, advanced robotics, AI vision, and industrial automation. Built on the NVIDIA Ampere GPU architecture, it delivers up to 200 TOPS of AI performance, enabling high-speed AI inference, real-time data processing, and next-generation edge computing in a compact and energy-efficient design.\u003c\/p\u003e\n\u003cp\u003eDesigned for developers, researchers, and AI innovators, the developer kit supports advanced AI workloads including autonomous robotics, computer vision, generative AI, and smart analytics. With extensive I\/O connectivity, high-speed memory bandwidth, and support for NVIDIA JetPack™, Isaac™, and Metropolis™ SDKs, it provides a complete platform for building and deploying production-ready AI applications.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"mt-3 w-full empty:hidden\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"shopify-block-text_iRhCFD\" class=\"product-text\"\u003e\n\u003cdiv class=\"product-text__content\"\u003e\n\u003cdiv class=\"prose-tight prose max-md:prose-sm\"\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eTechnical Specifications\u003cbr\u003e\n\u003c\/h4\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eJETSON AGX ORIN 32GB MODULE\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ctable width=\"440\" height=\"21\" style=\"width: 100.331%; height: 1094.6px; border-collapse: collapse;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.6023px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003eFeatures\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003e\u003cspan data-font-family=\"Montserrat\"\u003eDetails\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.1989px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eGPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003c\/span\u003eNVIDIA Ampere architecture with 1792 NVIDIA® CUDA® Cores and 56 Tensor Cores\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.1989px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e 8-core Arm® Cortex®-A78AE v8.2 64-bit CPU\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eDL Accelerator\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e2× NVDLA v2.0\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eVision Accelerator\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003ePVA v2.0\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eAI Performance\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e \u003c\/p\u003e\nUp to 200 TOPS\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMemory\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e32GB 256-bit LPDDR5\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMemory Bandwidth\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e204.8 GB\/s\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eStorage\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e64GB eMMC 5.1\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eVideo Encode\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan\u003e2× 4K60 | 4× 4K30 | 8× 1080p60\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eVideo Decode\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e\u003cspan\u003e1× 8K30 | 3× 4K60 | 7× 4K30\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv id=\"shopify-block-text_iRhCFD\" class=\"product-text\"\u003e\n\u003cdiv class=\"product-text__content\"\u003e\n\u003cdiv class=\"prose-tight prose max-md:prose-sm\"\u003e\n\u003cp\u003e\u003cstrong\u003eREFERENCE CARRIER BOARD\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ctable width=\"440\" height=\"21\" style=\"width: 100.331%; height: 1094.6px; border-collapse: collapse;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.6023px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003eFeatures\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003e\u003cspan data-font-family=\"Montserrat\"\u003eDetails\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCamera\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003c\/span\u003e16-lane MIPI CSI-2 connector\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003ePCIe\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003ex16 PCIe slot supporting x8 PCIe Gen4\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eEthernet\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003eUp to 10 GbE\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eM.2 Key M\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003ex4 PCIe Gen4\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eM.2 Key E\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003ex1 PCIe Gen4, USB 2.0, UART, I2S\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eUSB Type-C\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e2× USB 3.2 Gen2 with USB-PD support\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eUSB Type-A\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e2× USB 3.2 Gen2, 2× USB 3.2 Gen1\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eUSB Micro-B\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan\u003eUSB 2.0\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eDisplay Output\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e\u003cspan\u003eDisplayPort 1.4a (+MST)\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eExpansion Headers\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e\u003cspan\u003e40-pin GPIO Header, UART, SPI, CAN, I2C\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eAdditional Interfaces\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e\u003cspan\u003eFan Header, RTC Connector, JTAG Header\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eDimensions\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e\u003cspan\u003e110mm x 110mm x 71.65mm (Height includes feet, carrier board, module, and thermal solution)\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003ePart List\u003c\/h4\u003e\n\u003col\u003e\n\u003cli\u003eNVIDIA® Jetson AGX Orin™ 32GB Module with Reference Carrier Board ×1\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003ePower Adapter \u0026amp; Power Cord ×1\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eWireless Network Interface Controller ×1\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eQuick Start \u0026amp; Support Guide ×1\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch4\u003eDocuments\u003c\/h4\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.nvidia.com\/content\/dam\/en-zz\/Solutions\/gtcf21\/jetson-orin\/nvidia-jetson-agx-orin-technical-brief.pdf\" rel=\"noopener\" target=\"_blank\"\u003eNVIDIA Jetson AGX Orin Series Datasheet\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"32GB","offer_id":44672389480531,"sku":"ROBO26","price":190909.0,"currency_code":"INR","in_stock":true},{"title":"64GB","offer_id":44672389513299,"sku":"ROBO08","price":190909.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/download_2.avif?v=1779272605"},{"product_id":"nvidia®-jetson-orin™-nx-deployment-kit-8gb","title":"NVIDIA® Jetson Orin™ NX Deployment Kit – 8GB","description":"\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" class=\"\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-32\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" class=\"\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-32\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-is-intersecting=\"true\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-testid=\"conversation-turn-50\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"d42f79f4-3c80-4114-a7c3-265742def827\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-3\" class=\"\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-62\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-3\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-3\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"d0614071-7eb3-4c36-94cc-6857f77d87a0\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cp\u003eThe NVIDIA® Jetson Orin™ NX Deployment Kit – 8GB is a compact and powerful edge AI platform built for robotics, automation, machine vision, and intelligent embedded applications. Powered by the NVIDIA Jetson Orin™ NX 8GB module, it delivers up to 70 TOPS of AI performance, enabling high-speed AI inference and real-time edge computing for next-generation AI solutions.\u003c\/p\u003e\n\u003cp\u003eDesigned for developers and industrial AI deployments, the kit combines advanced NVIDIA Ampere GPU architecture, rich connectivity options, expandable NVMe storage, and optimized thermal performance in a compact deployment-ready system.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"mt-3 w-full empty:hidden\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"shopify-block-text_iRhCFD\" class=\"product-text\"\u003e\n\u003cdiv class=\"product-text__content\"\u003e\n\u003cdiv class=\"prose-tight prose max-md:prose-sm\"\u003e\n\u003ch4\u003eFeatures\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003ePowered by NVIDIA Jetson Orin™ NX 8GB module\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eUp to 70 TOPS AI performance\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eNVIDIA Ampere GPU architecture with CUDA® and Tensor Cores\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e8GB LPDDR5 high-speed memory\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eCompact deployment-ready edge AI system\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eSupports robotics, AI vision, automation, and edge computing\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eDual MIPI CSI camera interfaces\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eNVMe SSD storage expansion support\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eWi-Fi \u0026amp; Bluetooth support via M.2 Key E\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eMultiple USB 3.2 high-speed ports\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eGigabit Ethernet connectivity\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e40-pin GPIO expansion header\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eActive cooling with heatsink and fan\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eOptimized for NVIDIA JetPack™, CUDA®, TensorRT™, and DeepStream™\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4\u003eTechnical Specifications\u003cbr\u003e\n\u003c\/h4\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eJetson Orin NX 8GB Module\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ctable width=\"440\" height=\"21\" style=\"width: 100.331%; height: 1094.6px; border-collapse: collapse;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.6023px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003e\u003cspan data-font-family=\"Montserrat\"\u003eDetails\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.1989px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eAI Performance\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003c\/span\u003eUp to 70 TOPS\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.1989px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eGPU Architecture\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003eNVIDIA Ampere Architecture\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCUDA Cores\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e1024 CUDA® Cores\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eTensor Cores\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e32 Tensor Cores\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e \u003c\/p\u003e\n6-Core Arm® Cortex®-A78AE 64-bit CPU\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMemory\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e8GB LPDDR5\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMemory Bandwidth\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e102.4 GB\/s\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003ePower Modes\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e10W – 25W\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv id=\"shopify-block-text_iRhCFD\" class=\"product-text\"\u003e\n\u003cdiv class=\"product-text__content\"\u003e\n\u003cdiv class=\"prose-tight prose max-md:prose-sm\"\u003e\n\u003cp\u003e\u003cstrong\u003eCarrier Board \u0026amp; Connectivity\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ctable width=\"440\" height=\"21\" style=\"width: 100.331%; height: 1094.6px; border-collapse: collapse;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.6023px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003eFeatures\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003e\u003cspan data-font-family=\"Montserrat\"\u003eDetails\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eUSB Ports\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003c\/span\u003e4× USB 3.2 Type-A\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eUSB Type-C\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e1× USB Type-C\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eEthernet\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003eRJ45 Gigabit Ethernet\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCamera Interface\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e2× MIPI CSI\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eStorage Expansion\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003eM.2 Key M\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eWireless Expansion\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003eM.2 Key E\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eDisplay Output\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003eDisplayPort\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eGPIO\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan\u003e40-pin Expansion Header\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCooling\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e\u003cspan\u003eActive Cooling\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003ePower Input\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e\u003cspan\u003eDC Input\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eApplications\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eRobotics \u0026amp; Automation\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eAI Video Analytics\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eComputer Vision\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eAutonomous Mobile Robots (AMR)\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eIndustrial AI\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eEdge AI Computing\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eSmart Surveillance\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eEmbedded AI Systems\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4\u003ePart List\u003c\/h4\u003e\n\u003col\u003e\n\u003cli\u003eNVIDIA® Jetson Orin™ NX 8GB Module ×1\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eDeployment Carrier Board ×1\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eCooling Solution ×1\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003ePower Adapter ×1\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eQuick Start Guide ×1\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch4\u003eDocuments\u003c\/h4\u003e\n\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-NX-8G-DEV-KIT\" rel=\"noopener\" aria-describedby=\"a11y-new-window-external-message\" target=\"_blank\"\u003eJETSON-ORIN-NX-DEV-KIT\u003c\/a\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"8GB\/3D Printed Plastic","offer_id":44674913861715,"sku":"ROBO27","price":78999.99,"currency_code":"INR","in_stock":true},{"title":"8GB\/Aluminum","offer_id":44674913894483,"sku":"ROBO28","price":82499.99,"currency_code":"INR","in_stock":true},{"title":"16GB\/3D Printed Plastic","offer_id":44674854715475,"sku":"ROBO29","price":109999.99,"currency_code":"INR","in_stock":true},{"title":"16GB\/Aluminum","offer_id":44674854748243,"sku":"ROBO30","price":114999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/OrinNX16GB2_720x_be3f72fd-d623-4caa-918d-a33c6379f605.webp?v=1779952095"},{"product_id":"nvidia®-jetson-orin™-nx-deployment-kit-16gb","title":"NVIDIA® Jetson Orin™ NX Deployment Kit – 16GB","description":"\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" class=\"\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-32\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden 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@w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-is-intersecting=\"true\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-testid=\"conversation-turn-50\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"d42f79f4-3c80-4114-a7c3-265742def827\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-3\" class=\"\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-62\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-3\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-3\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"d0614071-7eb3-4c36-94cc-6857f77d87a0\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cp\u003eThe NVIDIA® Jetson Orin™ NX Deployment Kit – 16GB is a high-performance edge AI platform engineered for advanced robotics, generative AI, industrial automation, and intelligent embedded systems. Powered by the NVIDIA Jetson Orin™ NX 16GB module, it delivers up to 100 TOPS of AI performance, enabling powerful real-time AI processing and accelerated edge computing workloads.\u003c\/p\u003e\n\u003cp\u003eBuilt for production-ready AI deployment, the system features advanced connectivity, high-speed LPDDR5 memory, expandable storage, and NVIDIA’s powerful AI software ecosystem for demanding AI applications.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"mt-3 w-full empty:hidden\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"shopify-block-text_iRhCFD\" class=\"product-text\"\u003e\n\u003cdiv class=\"product-text__content\"\u003e\n\u003cdiv class=\"prose-tight prose max-md:prose-sm\"\u003e\n\u003ch4\u003eFeatures\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003ePowered by NVIDIA Jetson Orin™ NX 16GB module\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eUp to 100 TOPS AI performance\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eNVIDIA Ampere GPU architecture with CUDA® and Tensor Cores\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e16GB LPDDR5 high-speed memory\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eOptimized for robotics, generative AI, and industrial automation\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eCompact industrial-grade deployment system\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eHigh-speed NVMe SSD expansion support\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eWi-Fi \u0026amp; Bluetooth support via M.2 Key E\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eDual MIPI CSI camera interfaces\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eMultiple USB 3.2 high-speed ports\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eGigabit Ethernet networking\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eActive thermal cooling system\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e40-pin GPIO expansion support\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eCompatible with NVIDIA JetPack™, TensorRT™, CUDA®, and DeepStream™\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4\u003eTechnical Specifications\u003cbr\u003e\n\u003c\/h4\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eJetson Orin NX 16GB Module\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ctable width=\"440\" height=\"21\" style=\"width: 100.331%; height: 1094.6px; border-collapse: collapse;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.6023px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003e\u003cspan data-font-family=\"Montserrat\"\u003eDetails\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.1989px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eAI Performance\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003c\/span\u003eUp to 100 TOPS\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.1989px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eGPU Architecture\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003eNVIDIA Ampere Architecture\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCUDA Cores\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e1024 CUDA® Cores\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eTensor Cores\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e32 Tensor Cores\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e \u003c\/p\u003e\n8-Core Arm® Cortex®-A78AE 64-bit CPU\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMemory\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e16GB LPDDR5\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMemory Bandwidth\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e102.4 GB\/s\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003ePower Modes\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e10W – 25W\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv id=\"shopify-block-text_iRhCFD\" class=\"product-text\"\u003e\n\u003cdiv class=\"product-text__content\"\u003e\n\u003cdiv class=\"prose-tight prose max-md:prose-sm\"\u003e\n\u003cp\u003e\u003cstrong\u003eCarrier Board \u0026amp; Connectivity\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ctable width=\"440\" height=\"21\" style=\"width: 100.331%; height: 1094.6px; border-collapse: collapse;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.6023px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003eFeatures\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003e\u003cspan data-font-family=\"Montserrat\"\u003eDetails\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eUSB Ports\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003c\/span\u003e4× USB 3.2 Type-A\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eUSB Type-C\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e1× USB Type-C\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eEthernet\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003eRJ45 Gigabit Ethernet\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCamera Interface\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e2× MIPI CSI\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eStorage Expansion\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003eM.2 Key M\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eWireless Expansion\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003eM.2 Key E\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eDisplay Output\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003eDisplayPort\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eGPIO\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan\u003e40-pin Expansion Header\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCooling\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e\u003cspan\u003eActive Cooling\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003ePower Input\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e\u003cspan\u003eDC Input\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eApplications\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eRobotics \u0026amp; Autonomous Systems\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eGenerative AI\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eComputer Vision\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eIndustrial Automation\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eAI Video Analytics\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eAutonomous Mobile Robots (AMR)\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eEdge AI Computing\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eSmart Surveillance\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eDeep Learning \u0026amp; AI Research\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4\u003ePart List\u003c\/h4\u003e\n\u003col\u003e\n\u003cli\u003eNVIDIA® Jetson Orin™ NX 16GB Module ×1\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eDeployment Carrier Board ×1\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eCooling Solution ×1\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003ePower Adapter ×1\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eQuick Start Guide ×1\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch4\u003eDocuments\u003c\/h4\u003e\n\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-NX-8G-DEV-KIT\" rel=\"noopener\" aria-describedby=\"a11y-new-window-external-message\" target=\"_blank\"\u003eJETSON-ORIN-NX-DEV-KIT\u003c\/a\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"16GB\/3D Printed Plastic","offer_id":44675457318995,"sku":"ROBO29","price":109999.99,"currency_code":"INR","in_stock":true},{"title":"16GB\/Aluminum","offer_id":44675457351763,"sku":"ROBO30","price":114999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/OrinNX16GB4_720x_1.webp?v=1779952095"},{"product_id":"roboi-super-j4012-advanced-edge-ai-computer-with-nvidia®-jetson™-orin™-nx-16gb","title":"ROBOi Super J4012 - Advanced Edge AI Computer with NVIDIA® Jetson™ Orin™ NX 16GB","description":"\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-is-intersecting=\"true\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-testid=\"conversation-turn-32\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-is-intersecting=\"true\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-testid=\"conversation-turn-32\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" class=\"\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-50\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"d42f79f4-3c80-4114-a7c3-265742def827\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-3\" data-is-intersecting=\"true\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-3\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-3\" data-testid=\"conversation-turn-62\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"d0614071-7eb3-4c36-94cc-6857f77d87a0\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cp\u003eRoboi Super J4012 is a compact edge AI computer powered by NVIDIA® Jetson™ Orin™ NX 16GB, delivering up to 157 TOPS AI performance for robotics, computer vision, industrial automation, and real-time AI inference. Designed for scalable edge deployment, it features rich I\/O, multi-camera support, industrial-grade reliability, and compatibility with CUDA, TensorRT, ROS2, DeepStream, and NVIDIA Isaac.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"product-text\" id=\"shopify-block-text_iRhCFD\"\u003e\n\u003cdiv class=\"product-text__content\"\u003e\n\u003cdiv class=\"prose-tight prose max-md:prose-sm\"\u003e\n\u003ch4\u003eFeatures\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eSuper AI Performance: Powered by NVIDIA® Jetson™ Orin™ NX 16GB delivering up to 157 TOPS of AI computing performance for demanding edge AI workloads including robotics, multimodal AI, and intelligent video analytics.\u003c\/li\u003e\n\u003cli\u003eOptimized for Robotics \u0026amp; Vision AI: Supports up to 4 MIPI CSI cameras with high-speed image processing capabilities, enabling robotics perception, object detection, SLAM, surveillance, and autonomous systems.\u003cmeta charset=\"utf-8\"\u003e\n\u003cspan\u003e\u003c\/span\u003e\u003cspan\u003e\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003eFlexible Power Profiles:\u003c\/span\u003e Configurable operating modes from 10W to 40W allow balancing between maximum performance and energy efficiency depending on deployment requirements.\u003c\/li\u003e\n\u003cli\u003eIndustrial Thermal Design: Reliable operation across wide industrial temperature ranges with optimized active cooling architecture supporting continuous AI workloads.\u003c\/li\u003e\n\u003cli\u003eRich Connectivity: Equipped with dual Gigabit Ethernet, USB 3.2, HDMI 2.1, CAN Bus, GPIO, UART, Wi-Fi\/Bluetooth expansion, and LTE support for advanced edge deployments.\u003c\/li\u003e\n\u003cli\u003eDeployment Ready: Ships with JetPack 6.2 support and NVMe SSD storage, enabling fast AI application development and deployment using NVIDIA AI software stack.\u003c\/li\u003e\n\u003cli\u003eIndustrial Expansion Support: Provides M.2 Key E, M.2 Key M, Mini-PCIe, RTC, GPIO, CAN, UART, and multiple fan connectors for industrial integration and custom hardware expansion.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4\u003eTechnical Specifications\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ctable style=\"width: 100.331%; height: 1094.6px; border-collapse: collapse;\" height=\"21\" width=\"440\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.6023px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003eParameter\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003e\u003cspan data-font-family=\"Montserrat\"\u003eRoboi Super J4012\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.1989px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eApplications Processor(AP)\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003c\/span\u003eNVIDIA Orin™ NX 16GB\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.1989px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eAI Performance\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003eOrin NX 16GB – 157 TOPS(MAXN)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eGPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eGPU Max Frequency\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e1173 MHz\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e8-core NVIDIA Arm® Cortex A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCPU Max Frequency\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e2.0 GHz\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eDL Accelerator\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e2 x NVDLA v2.0\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eDL Max Frequency\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e1.23 GHz\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eVision Accelerator\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e1 x PVA v2.0\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMemory\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e16GB 128-bit wide LPDDR5 DRAM 102.4GB\/s\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003ePower\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e10W - 15W - 25W -40W\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eVideo Encode\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e1x 4K60 (H.265)\u003cbr\u003e3x 4K30 (H.265)\u003cbr\u003e6x 1080p60 (H.265)\u003cbr\u003e12x 1080p30 (H.265)\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eVideo Decode\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e1x 8K30 (H.265)\u003cbr\u003e2x 4K60 (H.265)\u003cbr\u003e4x 4K30 (H.265)\u003cbr\u003e9x 1080p60 (H.265)\u003cbr\u003e18x 1080p30 (H.265)\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCSI camera\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003eUp to 4 cameras\u003cbr\u003e(8 via virtual channels***)\u003cbr\u003e8 lanes MIPI CSI-2\u003cbr\u003eD-PHY 2.1 (up to 20Gbps)\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMechanical\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e69.6mm x 45mm\u003cbr\u003e260-pin SO-DIMM connector\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable class=\"p_2981_table\" style=\"border-collapse: collapse; width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"659\" style=\"border: 1px solid #dcdcdc; padding: 10px;\" colspan=\"3\"\u003e\n\u003cp\u003e\u003cstrong\u003eCarrier Board\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"119\" style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eStorage\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"540\" style=\"border: 1px solid #dcdcdc; padding: 10px;\" colspan=\"2\"\u003e\n\u003cp\u003e1x M.2 KEY M PCIe (M.2 NVMe 2280 SSD 128G included)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"119\" style=\"border: 1px solid #dcdcdc; padding: 10px;\" rowspan=\"3\"\u003e\n\u003cp\u003eNetworking\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"143\" style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eM.2 KEY E\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"397\" style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x M.2 Key E for WiFi\/Bluetooth module\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eMini PCIe\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x mini-PCIe for LTE 4G module\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eEthernet\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e2x RJ45 Gigabit Ethernet\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"119\" style=\"border: 1px solid #dcdcdc; padding: 10px;\" rowspan=\"11\"\u003e\n\u003cp\u003eI\/O\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"143\" style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eUSB\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"397\" style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e4x USB 3.2 Type-A (5Gbps)\u003c\/p\u003e\n\u003cp\u003e1x USB 2.0 Type-C (Device Mode\/Debug)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eCamera\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e4x MIPI CSI (2-lane 15-Pin)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eCAN\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x CAN (4-Pin Header)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eDisplay\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x HDMI 2.1\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eFan\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x 4-Pin 1.25mm Fan Connector (5V PWM)\u003c\/p\u003e\n\u003cp\u003e1x 4-Pin 2.54mm Fan Connector (12V PWM)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eExtension Port\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x 40-Pin extension header\u003c\/p\u003e\n\u003cp\u003e1x 12-Pin control and UART header\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eRTC\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x RTC 2-pin\u003c\/p\u003e\n\u003cp\u003e1x RTC Socket\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eLED\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e2x LED (PWR and ACT)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eButton\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x PWR\u003c\/p\u003e\n\u003cp\u003e1x RESET\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eSwitch\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x REC\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eAntenna Hole\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e4x Antenna Hole\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003ePower\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\" colspan=\"2\"\u003e\n\u003cp\u003e12-19V 5525 Barrel DC Jack\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eJetpack Version\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\" colspan=\"2\"\u003e\n\u003cp\u003eJetpack 6.2\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\" rowspan=\"3\"\u003e\n\u003cp\u003eMechanical\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eDimensions (W x D x H)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e130mm x 120mm x 66mm\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eWeight\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1110g\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eInstallation\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eDesk, Wall-mounting\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eOperating Temperature\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\" colspan=\"2\"\u003e\n\u003cp\u003e-20℃~65℃ (25W Mode)\u003c\/p\u003e\n\u003cp\u003e-20℃~60℃ (MAXN Mode)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eWarranty\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\" colspan=\"2\"\u003e\n\u003cp\u003e2 Years\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eCertification\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\" colspan=\"2\"\u003e\n\u003cp\u003eRoHS, REACH, CE, FCC, UKCA, KC\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eApplications\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eRobotics \u0026amp; Autonomous Systems\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eComputer Vision \u0026amp; AI Video Analytics\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eIndustrial Automation\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eGenerative AI \u0026amp; Edge AI Computing\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eSmart Surveillance \u0026amp; Multi-Camera Applications\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4\u003ePart List\u003c\/h4\u003e\n\u003col\u003e\n\u003cli\u003e\n\u003cp\u003eJetson Orin™ NX 16GB\/NX 8GB \/Nano 8GB\/Nano 4GB module x1\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSeeed Carrier Board (reComputer Super J401) x1\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e128GB NVMe SSD x1\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eAluminum Case and Heatsink with Fan x1\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eUSB Cable; Type A to Type C x1\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eUser Manual x1\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"Default Title","offer_id":44691182288979,"sku":"ROBO31","price":96011.79,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/3624aa8a-3ba2-4552-bdbc-c114bca6f409.png?v=1779965947"},{"product_id":"roboi-super-j4012-advanced-edge-ai-computer-with-nvidia®-jetson™-orin™-nx-8gb","title":"ROBOi Super J4011 - Advanced Edge AI Computer with NVIDIA® Jetson™ Orin™ NX 8GB","description":"\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" class=\"\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-32\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" class=\"\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-32\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-is-intersecting=\"true\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-testid=\"conversation-turn-50\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"d42f79f4-3c80-4114-a7c3-265742def827\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-3\" class=\"\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-62\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-3\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-3\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"d0614071-7eb3-4c36-94cc-6857f77d87a0\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cp\u003eRoboi Super J4012 is a compact edge AI computer powered by the NVIDIA® Jetson™ Orin™ NX 8GB module, delivering up to 70 TOPS AI performance for robotics, computer vision, industrial automation, and real-time AI inference. Designed for scalable edge deployment, it features rich I\/O connectivity, multi-camera support, configurable 10W–40W power modes, industrial-grade thermal reliability, and compatibility with CUDA®, TensorRT™, ROS1\/ROS2, DeepStream™, NVIDIA Isaac™, and other leading AI development frameworks.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"shopify-block-text_iRhCFD\" class=\"product-text\"\u003e\n\u003cdiv class=\"product-text__content\"\u003e\n\u003cdiv class=\"prose-tight prose max-md:prose-sm\"\u003e\n\u003ch4\u003eFeatures\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eDelivers up to 117 TOPS AI performance in MAXN Super Mode, ideal for robotics, computer vision, and generative AI applications.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eConfigurable power modes from 10W to 40W for optimized performance and energy efficiency across different workloads.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eAdvanced thermal architecture supports stable operation from -20°C to 60°C, ensuring reliable industrial-grade performance.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eRich connectivity options including dual RJ45 Ethernet, HDMI 2.1, USB 3.2, CAN, M.2 Key E\/M, Mini-PCIe, SIM slot, and 4× CSI camera interfaces.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003ePre-installed with JetPack 6.2 and 128GB NVMe SSD, supporting NVIDIA Isaac, ROS1\/ROS2, Hugging Face, and leading AI development frameworks for rapid deployment.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eTechnical Specifications\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ctable width=\"440\" height=\"21\" style=\"width: 100.331%; height: 1094.6px; border-collapse: collapse;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.6023px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003eParameter\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003e\u003cspan data-font-family=\"Montserrat\"\u003eRoboi Super J4011\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.1989px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eApplications Processor(AP)\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003c\/span\u003eNVIDIA Orin™ NX 8GB\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.1989px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eAI Performance\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003eOrin NX 8GB – 117 TOPS(MAXN)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eGPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eGPU Max Frequency\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e1173 MHz\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e6-core NVIDIA Arm® Cortex A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCPU Max Frequency\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e2.0 GHz\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eDL Accelerator\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e1 x NVDLA v2.0\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eDL Max Frequency\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e1.23 GHz\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eVision Accelerator\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e1 x PVA v2.0\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMemory\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e8GB 128-bit wide LPDDR5 DRAM 102.4 GB\/s\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003ePower\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e10W - 15W - 25W - 40W\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eVideo Encode\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e \u003cbr\u003e1x 4K60 (H.265)\u003c\/p\u003e\n\u003cp\u003e3x 4K30 (H.265)\u003c\/p\u003e\n\u003cp\u003e6x 1080p60 (H.265)\u003c\/p\u003e\n\u003cp\u003e12x 1080p30 (H.265)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eVideo Decode\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e1x 8K30 (H.265)\u003c\/p\u003e\n\u003cp\u003e2x 4K60 (H.265)\u003c\/p\u003e\n\u003cp\u003e4x 4K30 (H.265)\u003c\/p\u003e\n\u003cp\u003e9x 1080p60 (H.265)\u003c\/p\u003e\n\u003cp\u003e18x 1080p30 (H.265)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCSI camera\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003eUp to 4 cameras\u003c\/p\u003e\n\u003cp\u003e(8 via virtual channels***)\u003c\/p\u003e\n\u003cp\u003e8 lanes MIPI CSI-2\u003c\/p\u003e\n\u003cp\u003eD-PHY 2.1 (up to 20Gbps)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMechanical\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e69.6mm x 45mm\u003c\/p\u003e\n\u003cp\u003e260-pin SO-DIMM connector\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%;\" class=\"p_2981_table\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"3\" style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"659\"\u003e\n\u003cp\u003e\u003cstrong\u003eCarrier Board\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"119\"\u003e\n\u003cp\u003eStorage\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"540\"\u003e\n\u003cp\u003e1x M.2 KEY M PCIe (M.2 NVMe 2280 SSD 128G included)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"3\" style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"119\"\u003e\n\u003cp\u003eNetworking\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"143\"\u003e\n\u003cp\u003eM.2 KEY E\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"397\"\u003e\n\u003cp\u003e1x M.2 Key E for WiFi\/Bluetooth module\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eMini PCIe\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x mini-PCIe for LTE 4G module\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eEthernet\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e2x RJ45 Gigabit Ethernet\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"11\" style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"119\"\u003e\n\u003cp\u003eI\/O\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"143\"\u003e\n\u003cp\u003eUSB\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"397\"\u003e\n\u003cp\u003e4x USB 3.2 Type-A (5Gbps)\u003c\/p\u003e\n\u003cp\u003e1x USB 2.0 Type-C (Device Mode\/Debug)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eCamera\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e4x MIPI CSI (2-lane 15-Pin)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eCAN\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x CAN (4-Pin Header)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eDisplay\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x HDMI 2.1\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eFan\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x 4-Pin 1.25mm Fan Connector (5V PWM)\u003c\/p\u003e\n\u003cp\u003e1x 4-Pin 2.54mm Fan Connector (12V PWM)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eExtension Port\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x 40-Pin extension header\u003c\/p\u003e\n\u003cp\u003e1x 12-Pin control and UART header\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eRTC\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x RTC 2-pin\u003c\/p\u003e\n\u003cp\u003e1x RTC Socket\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eLED\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e2x LED (PWR and ACT)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eButton\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x PWR\u003c\/p\u003e\n\u003cp\u003e1x RESET\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eSwitch\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x REC\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eAntenna Hole\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e4x Antenna Hole\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003ePower\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e12-19V 5525 Barrel DC Jack\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eJetpack Version\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eJetpack 6.2\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"3\" style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eMechanical\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eDimensions (W x D x H)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e130mm x 120mm x 66mm\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eWeight\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1110g\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eInstallation\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eDesk, Wall-mounting\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eOperating Temperature\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e-20℃~65℃ (25W Mode)\u003c\/p\u003e\n\u003cp\u003e-20℃~60℃ (MAXN Mode)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eWarranty\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e2 Years\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eCertification\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eRoHS, REACH, CE, FCC, UKCA, KC\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eApplications\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eRobotics \u0026amp; Autonomous Systems\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eComputer Vision \u0026amp; AI Video Analytics\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eIndustrial Automation\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eGenerative AI \u0026amp; Edge AI Computing\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eSmart Surveillance \u0026amp; Multi-Camera Applications\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4\u003ePart List\u003c\/h4\u003e\n\u003col\u003e\n\u003cli\u003e\n\u003cp\u003eJetson Orin™ NX 16GB\/NX 8GB \/Nano 8GB\/Nano 4GB module x1\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSeeed Carrier Board (reComputer Super J401) x1\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e128GB NVMe SSD x1\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eAluminum Case and Heatsink with Fan x1\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eUSB Cable; Type A to Type C x1\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003eUser Manual x1\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"Orin™ NX 8GB","offer_id":44695497080915,"sku":"ROBO32","price":111249.99,"currency_code":"INR","in_stock":true},{"title":"Orin™ NX 16GB","offer_id":44695497113683,"sku":"ROBO33","price":118681.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/Rectangle_58798.png?v=1778847784"},{"product_id":"roboi-super-j3011-advanced-edge-ai-computer-with-nvidia®-jetson™-orin™-nano-8gb","title":"ROBOi Super J3011 - Advanced Edge AI Computer with NVIDIA® Jetson™ Orin™ Nano 8GB","description":"\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" class=\"\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-32\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" class=\"\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-32\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-is-intersecting=\"true\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-testid=\"conversation-turn-50\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"d42f79f4-3c80-4114-a7c3-265742def827\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-3\" class=\"\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-62\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-3\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-3\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"d0614071-7eb3-4c36-94cc-6857f77d87a0\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cp\u003eRoboi Super J3011 is an intelligent edge AI system powered by the NVIDIA® Jetson™ Orin™ Nano 8GB platform, delivering up to 67 TOPS AI performance in Super Mode for robotics, video analytics, multimodal perception, and advanced edge AI applications. Designed for reliable industrial deployment, it supports a wide operating temperature range from -20°C to 65°C and features seamless connectivity with Wi-Fi, Bluetooth, LTE, and Ethernet for scalable AI integration and real-time intelligent computing.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"shopify-block-text_iRhCFD\" class=\"product-text\"\u003e\n\u003cdiv class=\"product-text__content\"\u003e\n\u003cdiv class=\"prose-tight prose max-md:prose-sm\"\u003e\n\u003ch4\u003eFeatures\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eDelivers up to 67 TOPS AI performance in MAXN Super Mode, ideal for robotics, computer vision, multimodal perception, and generative AI workloads.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eConfigurable 10W–25W power modes provide an optimized balance between performance and energy efficiency for edge AI deployment.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eIndustrial-grade thermal design supports stable operation across a wide temperature range from -20°C to 65°C.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eRich connectivity includes dual RJ45 Ethernet, SIM support, 4× USB 3.2, HDMI 2.1, CAN, M.2 Key E\/M, Mini-PCIe, and 4× CSI camera interfaces.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003ePre-installed with JetPack 6.2 and 128GB NVMe SSD, supporting NVIDIA Isaac™, ROS1\/ROS2, Hugging Face, and leading AI frameworks for rapid development and deployment.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eTechnical Specifications\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ctable width=\"440\" height=\"21\" style=\"width: 100.331%; height: 1094.6px; border-collapse: collapse;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.6023px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003eParameter\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003e\u003cspan data-font-family=\"Montserrat\"\u003eRoboi Super J3011\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.1989px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eApplications Processor(AP)\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003c\/span\u003eNVIDIA Orin™ Nano 8GB\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.1989px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eAI Performance\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003eOrin Nano 8GB – 67 TOPS(MAXN_SUPER)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eGPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eGPU Max Frequency\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e1020 MHz (MAXN_SUPER)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e6-core Arm® Cortex®-A78AE\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCPU Max Frequency\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e1.7 GHz (MAXN_SUPER)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMemory\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e8GB 128-bit wide LPDDR5 DRAM(up to 68GB\/s; 102 GB\/s MAXN_SUPER)\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003ePower\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e7W - 15W - 25W\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eVideo Encode\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e1080p30 supported by 1-2 CPU cores\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eVideo Decode\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e1x 4K60 (H.265)\u003c\/p\u003e\n\u003cp\u003e2x 4K30 (H.265)\u003c\/p\u003e\n\u003cp\u003e5x 1080p60 (H.265)\u003c\/p\u003e\n\u003cp\u003e11x 1080p30 (H.265)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCSI camera\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003eUp to 4 cameras\u003c\/p\u003e\n\u003cp\u003e(8 via virtual channels***)\u003c\/p\u003e\n\u003cp\u003e8 lanes MIPI CSI-2\u003c\/p\u003e\n\u003cp\u003eD-PHY 2.1 (up to 20Gbps)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMechanical\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e \u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e69.6mm x 45mm\u003c\/p\u003e\n\u003cp\u003e260-pin SO-DIMM connector\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCSI camera\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003eUp to 4 cameras\u003c\/p\u003e\n\u003cp\u003e(8 via virtual channels***)\u003c\/p\u003e\n\u003cp\u003e8 lanes MIPI CSI-2\u003c\/p\u003e\n\u003cp\u003eD-PHY 2.1 (up to 20Gbps)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMechanical\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e69.6mm x 45mm\u003c\/p\u003e\n\u003cp\u003e260-pin SO-DIMM connector\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%;\" class=\"p_2981_table\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"3\" style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"659\"\u003e\n\u003cp\u003e\u003cstrong\u003eCarrier Board\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"119\"\u003e\n\u003cp\u003eStorage\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"540\"\u003e\n\u003cp\u003e1x M.2 KEY M PCIe (M.2 NVMe 2280 SSD 128G included)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"3\" style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"119\"\u003e\n\u003cp\u003eNetworking\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"143\"\u003e\n\u003cp\u003eM.2 KEY E\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"397\"\u003e\n\u003cp\u003e1x M.2 Key E for WiFi\/Bluetooth module\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eMini PCIe\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x mini-PCIe for LTE 4G module\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eEthernet\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e2x RJ45 Gigabit Ethernet\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"11\" style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"119\"\u003e\n\u003cp\u003eI\/O\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"143\"\u003e\n\u003cp\u003eUSB\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"397\"\u003e\n\u003cp\u003e4x USB 3.2 Type-A (5Gbps)\u003c\/p\u003e\n\u003cp\u003e1x USB 2.0 Type-C (Device Mode\/Debug)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eCamera\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e4x MIPI CSI (2-lane 15-Pin)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eCAN\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x CAN (4-Pin Header)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eDisplay\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x HDMI 2.1\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eFan\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x 4-Pin 1.25mm Fan Connector (5V PWM)\u003c\/p\u003e\n\u003cp\u003e1x 4-Pin 2.54mm Fan Connector (12V PWM)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eExtension Port\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x 40-Pin extension header\u003c\/p\u003e\n\u003cp\u003e1x 12-Pin control and UART header\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eRTC\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x RTC 2-pin\u003c\/p\u003e\n\u003cp\u003e1x RTC Socket\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eLED\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e2x LED (PWR and ACT)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eButton\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x PWR\u003c\/p\u003e\n\u003cp\u003e1x RESET\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eSwitch\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x REC\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eAntenna Hole\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e4x Antenna Hole\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003ePower\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e12-19V 5525 Barrel DC Jack\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eJetpack Version\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eJetpack 6.2\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"3\" style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eMechanical\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eDimensions (W x D x H)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e130mm x 120mm x 66mm\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eWeight\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1110g\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eInstallation\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eDesk, Wall-mounting\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eOperating Temperature\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e-20℃~65℃\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eWarranty\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e2 Years\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eCertification\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eRoHS, REACH, CE, FCC, UKCA, KC\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eApplications\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eRobotics \u0026amp; Autonomous Systems\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eComputer Vision \u0026amp; AI Video Analytics\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eIndustrial Automation\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eGenerative AI \u0026amp; Edge AI Computing\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eSmart Surveillance \u0026amp; Multi-Camera Applications\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4\u003ePart List\u003c\/h4\u003e\n\u003col\u003e\n\u003cli\u003e\n\u003cp\u003eJetson Orin™ NX 16GB\/NX 8GB \/Nano 8GB\/Nano 4GB module x1\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSeeed Carrier Board (reComputer Super J401) x1\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e128GB NVMe SSD x1\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eAluminum Case and Heatsink with Fan x1\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eUSB Cable; Type A to Type C x1\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003eUser Manual x1\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"Orin™ Nano 8GB","offer_id":44697715179603,"sku":"ROBO33","price":57570.73,"currency_code":"INR","in_stock":true},{"title":"Orin™ NX 8GB","offer_id":44696852987987,"sku":"ROBO32","price":80634.53,"currency_code":"INR","in_stock":true},{"title":"Orin™ NX 16GB","offer_id":44696853020755,"sku":"ROBO31","price":96011.79,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/Rectangle_58797-1.png?v=1778847784"},{"product_id":"roboi-super-j3010-advanced-edge-ai-computer-with-nvidia®-jetson™-orin™-nano-4gb","title":"ROBOi Super J3010 - Advanced Edge AI Computer with NVIDIA® Jetson™ Orin™ Nano 4GB","description":"\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" class=\"\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-32\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" class=\"\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-32\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv class=\"\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-is-intersecting=\"true\"\u003e\n\u003csection class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-0\" data-testid=\"conversation-turn-50\" data-scroll-anchor=\"false\" data-turn=\"assistant\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-message-author-role=\"assistant\" data-message-id=\"d42f79f4-3c80-4114-a7c3-265742def827\" dir=\"auto\" data-message-model-slug=\"gpt-5-5\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-turn-start-message=\"true\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-3\" class=\"\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-62\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-3\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-3\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"d0614071-7eb3-4c36-94cc-6857f77d87a0\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cp\u003eRoboi Super J3010 is an intelligent edge AI system powered by the NVIDIA® Jetson™ Orin™ Nano 4GB platform, delivering up to 34 TOPS AI performance in Super Mode for robotics, video analytics, multimodal perception, and edge AI applications. Engineered for fast deployment and reliable industrial operation, it supports a wide operating temperature range from -20°C to 65°C and features seamless connectivity with Wi-Fi, Bluetooth, LTE, and Ethernet for scalable AI integration and real-time intelligent computing.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"shopify-block-text_iRhCFD\" class=\"product-text\"\u003e\n\u003cdiv class=\"product-text__content\"\u003e\n\u003cdiv class=\"prose-tight prose max-md:prose-sm\"\u003e\n\u003ch4\u003eFeatures\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli data-section-id=\"1o0btn3\" data-start=\"0\" data-end=\"153\"\u003eDelivers up to 34 TOPS AI performance in MAXN Super Mode, ideal for robotics, computer vision, multimodal perception, and generative AI applications.\u003c\/li\u003e\n\u003cli data-section-id=\"e5ig71\" data-start=\"154\" data-end=\"285\"\u003eConfigurable 10W–25W power modes enable an efficient balance between performance and energy consumption for edge AI deployment.\u003c\/li\u003e\n\u003cli data-section-id=\"1ua1ep1\" data-start=\"286\" data-end=\"404\"\u003eIndustrial-grade thermal architecture ensures stable operation across a wide temperature range from -20°C to 65°C.\u003c\/li\u003e\n\u003cli data-section-id=\"1ni5o34\" data-start=\"405\" data-end=\"556\"\u003eRich connectivity options include dual RJ45 Ethernet, SIM support, 4× USB 3.2, HDMI 2.1, CAN, M.2 Key E\/M, Mini-PCIe, and 4× CSI camera interfaces.\u003c\/li\u003e\n\u003cli data-section-id=\"ysbzj6\" data-start=\"557\" data-end=\"727\" data-is-last-node=\"\"\u003ePre-installed with JetPack 6.2 and 128GB NVMe SSD, supporting NVIDIA Isaac™, ROS1\/ROS2, Hugging Face, and leading AI frameworks for rapid AI development and deployment.\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4\u003eTechnical Specifications\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ctable width=\"440\" height=\"21\" style=\"width: 100.331%; height: 1094.6px; border-collapse: collapse;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.6023px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003eParameter\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 19.6023px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003e\u003cspan data-font-family=\"Montserrat\"\u003eRoboi Super J3010\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.1989px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eApplications Processor(AP)\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003c\/span\u003e\u003cspan\u003eNVIDIA Orin™ Nano 4GB\u003c\/span\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.1989px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eAI Performance\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.1989px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003eOrin Nano 4GB – 34 TOPS(MAXN_SUPER)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eGPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eGPU Max Frequency\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e1020 MHz (MAXN_SUPER)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e6-core Arm® Cortex®-A78AE\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCPU Max Frequency\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e1.7 GHz (MAXN_SUPER)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMemory\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e4GB 64-bit wide LPDDR5 DRAM(up to 34GB\/s; 51 GB\/s MAXN_SUPER)\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003ePower\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e7W - 15W - 25W\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eVideo Encode\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e1080p30 supported by 1-2 CPU cores\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eVideo Decode\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e1x 4K60 (H.265)\u003c\/p\u003e\n\u003cp\u003e2x 4K30 (H.265)\u003c\/p\u003e\n\u003cp\u003e5x 1080p60 (H.265)\u003c\/p\u003e\n\u003cp\u003e11x 1080p30 (H.265)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCSI camera\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003eUp to 4 cameras\u003c\/p\u003e\n\u003cp\u003e(8 via virtual channels***)\u003c\/p\u003e\n\u003cp\u003e8 lanes MIPI CSI-2\u003c\/p\u003e\n\u003cp\u003eD-PHY 2.1 (up to 20Gbps)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMechanical\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e \u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e69.6mm x 45mm\u003c\/p\u003e\n\u003cp\u003e260-pin SO-DIMM connector\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCSI camera\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003eUp to 4 cameras\u003c\/p\u003e\n\u003cp\u003e(8 via virtual channels***)\u003c\/p\u003e\n\u003cp\u003e8 lanes MIPI CSI-2\u003c\/p\u003e\n\u003cp\u003eD-PHY 2.1 (up to 20Gbps)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5966px;\"\u003e\n\u003ctd style=\"width: 29.5371%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMechanical\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.3904%; height: 35.5966px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e69.6mm x 45mm\u003c\/p\u003e\n\u003cp\u003e260-pin SO-DIMM connector\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%;\" class=\"p_2981_table\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"3\" style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"659\"\u003e\n\u003cp\u003e\u003cstrong\u003eCarrier Board\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"119\"\u003e\n\u003cp\u003eStorage\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"540\"\u003e\n\u003cp\u003e1x M.2 KEY M PCIe (M.2 NVMe 2280 SSD 128G included)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"3\" style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"119\"\u003e\n\u003cp\u003eNetworking\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"143\"\u003e\n\u003cp\u003eM.2 KEY E\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"397\"\u003e\n\u003cp\u003e1x M.2 Key E for WiFi\/Bluetooth module\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eMini PCIe\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x mini-PCIe for LTE 4G module\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eEthernet\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e2x RJ45 Gigabit Ethernet\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"11\" style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"119\"\u003e\n\u003cp\u003eI\/O\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"143\"\u003e\n\u003cp\u003eUSB\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\" width=\"397\"\u003e\n\u003cp\u003e4x USB 3.2 Type-A (5Gbps)\u003c\/p\u003e\n\u003cp\u003e1x USB 2.0 Type-C (Device Mode\/Debug)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eCamera\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e4x MIPI CSI (2-lane 15-Pin)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eCAN\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x CAN (4-Pin Header)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eDisplay\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x HDMI 2.1\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eFan\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x 4-Pin 1.25mm Fan Connector (5V PWM)\u003c\/p\u003e\n\u003cp\u003e1x 4-Pin 2.54mm Fan Connector (12V PWM)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eExtension Port\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x 40-Pin extension header\u003c\/p\u003e\n\u003cp\u003e1x 12-Pin control and UART header\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eRTC\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x RTC 2-pin\u003c\/p\u003e\n\u003cp\u003e1x RTC Socket\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eLED\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e2x LED (PWR and ACT)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eButton\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x PWR\u003c\/p\u003e\n\u003cp\u003e1x RESET\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eSwitch\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1x REC\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eAntenna Hole\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e4x Antenna Hole\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003ePower\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e12-19V 5525 Barrel DC Jack\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eJetpack Version\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eJetpack 6.2\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"3\" style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eMechanical\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eDimensions (W x D x H)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e130mm x 120mm x 66mm\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eWeight\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e1110g\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eInstallation\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eDesk, Wall-mounting\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eOperating Temperature\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e-20℃~65℃\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eWarranty\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003e2 Years\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eCertification\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid #dcdcdc; padding: 10px;\"\u003e\n\u003cp\u003eRoHS, REACH, CE, FCC, UKCA, KC\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eApplications\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eRobotics \u0026amp; Autonomous Systems\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eComputer Vision \u0026amp; AI Video Analytics\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eIndustrial Automation\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eGenerative AI \u0026amp; Edge AI Computing\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eSmart Surveillance \u0026amp; Multi-Camera Applications\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4\u003ePart List\u003c\/h4\u003e\n\u003col\u003e\n\u003cli\u003e\n\u003cp\u003eJetson Orin™ NX 16GB\/NX 8GB \/Nano 8GB\/Nano 4GB module x1\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eSeeed Carrier Board (reComputer Super J401) x1\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e128GB NVMe SSD x1\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eAluminum Case and Heatsink with Fan x1\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003eUSB Cable; Type A to Type C x1\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003eUser Manual x1\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"Orin™ Nano 8GB","offer_id":44698589724755,"sku":"ROBO33","price":57570.73,"currency_code":"INR","in_stock":true},{"title":"Orin™ NX 8GB","offer_id":44698589757523,"sku":"ROBO32","price":80634.53,"currency_code":"INR","in_stock":true},{"title":"Orin™ NX 16GB","offer_id":44698589790291,"sku":"ROBO31","price":96011.79,"currency_code":"INR","in_stock":true},{"title":"Orin™ Nano 4GB","offer_id":44698958954579,"sku":"ROBO34","price":47959.59,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/Rectangle_58800.png?v=1778847784"},{"product_id":"nvidia-jetson-xavier-nx-deployment-kit-compact","title":"NVIDIA Jetson Xavier NX Deployment Kit - Compact","description":"\u003cdiv class=\"rte product-single__description main-product-description-template--26611750732093__main full_product-single__description\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003eThe NVIDIA Jetson Xavier NX Developer Kit comes with an interface rich carrier board from SEEED studio, and Jetpack preinstalled.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eThe reComputer J202 carrier board has nearly the same design and function as NVIDIA® Jetson Xavier NX™ carrier board, perfectly works with Jetson Nano\/Xavier NX module, and consists of USB 3.2 gen 2 ports(4x), M.2 key E for WIFI, M.2 Key M for SSD, RTC, CAN, Raspberry Pi GPIO 40-pin, and so on.\u003cbr\u003e\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eThe carrier board can work as NVIDIA Jetson Xavier NX Dev Kit carrier board alternative, accelerating your next AI application development and deployment.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cspan\u003eNOTE: DELIVERY TIME CAN VARY BETWEEN 7 to 10 BUSINESS DAYS. For assembly, programming and case design, please contact us.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cspan\u003eThe carrier board and modules come with a 1 year manufacturer's limited warranty.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cem\u003e\u003cspan\u003eDatasheet for J202 Carrier Board can be found \u003ca rel=\"null noopener\" aria-describedby=\"a11y-new-window-external-message\" href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/reComputer-J202-carrier-board-datasheet.pdf\" target=\"_blank\"\u003ehere\u003c\/a\u003e!\u003c\/span\u003e\u003c\/em\u003e\u003c\/p\u003e\n\u003ch4 class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cspan\u003ePackage Includes:\u003c\/span\u003e\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eXavier NX Developer Kit\u003cspan\u003e\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e12V \/ 6A Power Supply\u003c\/li\u003e\n\u003cli\u003e3D Printed Case (PLA or CF PETG)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eFeatures\u003c\/h4\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cul\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003ePerfectly suited: Design for\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eJetson Nano\/Xavier NX\u003c\/strong\u003e (260-pin SODIMM).\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n\u003cstrong\u003eDeveloper Kit carrier board alternative\u003c\/strong\u003e: 1:1 matches the size and nearly the same functional design as the carrier board of Nvidia’s official Jetson Xavier NX Developer Kit. \u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n\u003cstrong\u003eRich peripherals\u003c\/strong\u003e: Higher performance stability consists of USB 3.2 gen 2 ports(4x), M.2 key E for WIFI, M.2 Key M for SSD, RTC, CAN, Raspberry Pi GPIO 40-pin, and so on.\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n\u003cstrong\u003eHigh versatility\u003c\/strong\u003e: Suitable for complicated AI graphical applications.\u003c\/li\u003e\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eComprehensive certificates: FCC, CE, RoHS, KC\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\u003cimg class=\"lazy\" width=\"1200\" height=\"1200\" data-src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/carrier_board\/J202boardspec.png\" src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/carrier_board\/J202boardspec.png\"\u003e\u003c\/h2\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cdiv\u003e\n\u003ch4 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eDescription\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"p\"\u003ereComputer J202 is a high-performance, interface-rich NVIDIA Jetson Nano \/ Xavier NX compatible carrier board, providing\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eHDMI 2.0, Gigabit Ethernet, USB3.1 Gen 2, M.2 key E wifi \/ BT, M.2 key M, CSI camera, CAN, GPIO, I2C, I2S, Fan\u003c\/strong\u003e, and other rich peripheral interfaces. It has the same functional design and size as the carrier board of \u003ca rel=\"null noopener\" aria-describedby=\"a11y-new-window-external-message\" href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-xavier-nx-devkit\" target=\"_blank\"\u003e\u003cspan data-style=\"text-decoration: underline;\"\u003e\u003cspan class=\"15\"\u003eNVIDIA® Jetson Xavier™\u003c\/span\u003e\u003c\/span\u003e\u003cspan data-style=\"text-decoration: underline;\"\u003e\u003cspan class=\"15\"\u003e \u003c\/span\u003e\u003c\/span\u003e\u003c\/a\u003e\u003cspan data-style=\"text-decoration: underline;\"\u003e\u003cspan class=\"15\"\u003eNX DEVELOPER KIT\u003c\/span\u003e\u003c\/span\u003e.  \u003c\/p\u003e\n\u003c\/div\u003e\n\u003ch4 class=\"p\"\u003eFunctionality\u003c\/h4\u003e\n\u003cp class=\"p\"\u003eWith the NVIDIA Jetson module assembled, it could support\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e\u003ca aria-describedby=\"a11y-external-message\" href=\"https:\/\/developer.nvidia.com\/embedded\/jetpack\"\u003eNVIDIA JetPack\u003c\/a\u003e\u003c\/strong\u003e, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more.\u003c\/p\u003e\n\u003cp class=\"p\"\u003eWith its multiple camera connectors, it is suitable for running multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. \u003c\/p\u003e\n\u003ch4\u003eSpecifications:\u003c\/h4\u003e\n\u003cdiv\u003e\n\u003cul\u003e\n\u003cli\u003eModule Compatibility: \u003ca rel=\"null noopener\" aria-describedby=\"a11y-new-window-external-message\" href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-nano-module?_pos=2\u0026amp;_psq=jetson%20nano\u0026amp;_ss=e\u0026amp;_v=1.0\" target=\"_blank\"\u003eJetson™ Nano\u003c\/a\u003e\/\u003cspan\u003e \u003c\/span\u003e\u003ca rel=\"null noopener\" aria-describedby=\"a11y-new-window-external-message\" href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-xavier-nx-module?_pos=1\u0026amp;_psq=xavier%20nx\u0026amp;_ss=e\u0026amp;_v=1.0\" target=\"_blank\"\u003eXavier NX\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003ePCB Size \/ Overall Size: 100mm X 80mm\u003c\/li\u003e\n\u003cli\u003eDisplay: 1x HDMI and 1x DP\u003c\/li\u003e\n\u003cli\u003eCSI Camera: 2\u003c\/li\u003e\n\u003cli\u003eEthernet: 1x Gigabit Ethernet (10\/100\/1000M)\u003c\/li\u003e\n\u003cli\u003eUSB: 4x USB 3.1 Type-A (10Gbps for NX, 5Gbps for Nano); 1x USB Type-C (Device mode)\u003c\/li\u003e\n\u003cli\u003e1x M.2 Key E, 1x M.2 Key M\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eFAN: 1x fan connector\u003c\/li\u003e\n\u003cli\u003e1x CAN\u003c\/li\u003e\n\u003cli\u003eMultifunctional Port: 1x 40-Pin, 1x 12-Pin\u003c\/li\u003e\n\u003cli\u003eRTC: RTC 2-pin, RTC socket(reserved)\u003c\/li\u003e\n\u003cli\u003ePower supply: 12V\/5A(Barrel Jack 5.5\/2.1mm)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cp class=\"p\"\u003e \u003c\/p\u003e\n\u003cdiv class=\"document\"\u003e\n\u003ch4 dir=\"ltr\"\u003eEdge AI Applications\u003c\/h4\u003e\n\u003cp dir=\"ltr\"\u003eWork with up to 21 TOPS AI performances provided by the Jetson Xavier NX, it delivers the capability to develop and test power-efficient, small form factor intelligent solutions with accurate, multi-modal AI inference across industries.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca rel=\"null noopener\" aria-describedby=\"a11y-new-window-external-message\" href=\"https:\/\/www.edgeimpulse.com\/blog\/recognizing-your-blind-spots-pedestrian-detection-system-with-nvidia-jetson-nano\" target=\"_blank\"\u003ePedestrian detection by Edge Impulse\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca rel=\"null noopener\" aria-describedby=\"a11y-new-window-external-message\" href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/03\/03\/deploy-hard-hat-detection-for-enforcing-workplace-safety\/\" target=\"_blank\"\u003eHard hat detection\u003c\/a\u003e and build custom PPE detection\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca rel=\"null noopener\" aria-describedby=\"a11y-new-window-external-message\" href=\"https:\/\/alwaysai.co\/blog\/using-pose-estimation-on-the-jetson-nano-with-alwaysai\" target=\"_blank\"\u003ePose Estimation with alwaysAI\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca rel=\"null noopener\" aria-describedby=\"a11y-new-window-external-message\" href=\"https:\/\/developer.nvidia.com\/gtc\/2020\/video\/s22675-vid\" target=\"_blank\"\u003eVisual anomaly detection using NVIDIA Deepstream IoT\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca rel=\"null noopener\" aria-describedby=\"a11y-new-window-external-message\" href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/06\/08\/retail-store-items-detection-using-yolov5-roboflow-and-node-red\/\" target=\"_blank\"\u003eRetail store items detection\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca rel=\"null noopener\" aria-describedby=\"a11y-new-window-external-message\" href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" target=\"_blank\"\u003eWildfire detection\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003ca rel=\"null noopener\" aria-describedby=\"a11y-new-window-external-message\" href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" target=\"_blank\"\u003eAnimal detection\u003c\/a\u003e \u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp dir=\"ltr\"\u003eFind in the \u003ca rel=\"null noopener\" aria-describedby=\"a11y-new-window-external-message\" href=\"https:\/\/developer.nvidia.com\/community\/resources\" target=\"_blank\"\u003eJetson Community Resources\u003c\/a\u003e page tools and tutorials the community has created to power your development experience, and check out the \u003ca rel=\"null noopener\" aria-describedby=\"a11y-new-window-external-message\" href=\"https:\/\/developer.nvidia.com\/embedded\/community\/jetson-projects\" target=\"_blank\"\u003eCommunity Projects\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003epage to inspire your next project! \u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003ePlease also check out\u003cspan\u003e \u003c\/span\u003e\u003ca rel=\"null noopener\" aria-describedby=\"a11y-new-window-external-message\" href=\"https:\/\/wiki.seeedstudio.com\/reComputer_Jetson_Series_Started_Guide\/\" target=\"_blank\"\u003e\u003cstrong\u003eSeeed wiki guide\u003c\/strong\u003e\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003eincluding getting started with Jetson Nano and also building different projects. \u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/102991695_2.jpg\" data-src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/102991695_2.jpg\" height=\"1200\" width=\"1200\" class=\"lazy\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003ch4 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eComparison with NVIDIA Xavier NX Dev Kit carrier boards\u003c\/h4\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/J202carrierboard.png\" data-src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/J202carrierboard.png\" height=\"860\" width=\"860\" class=\"lazy\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch4\u003e Hardware Overview\u003c\/h4\u003e\n\u003cp\u003e\u003cimg class=\"lazy\" width=\"900\" height=\"900\" data-src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202 FRONT.png\" src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202%20FRONT.png\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg class=\"lazy\" width=\"860\" height=\"860\" data-src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202 BACK.png\" src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202%20BACK.png\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"8GB \/ No SSD","offer_id":45705576120403,"sku":"ROBO163","price":79749.99,"currency_code":"INR","in_stock":true},{"title":"8GB \/ 240GB SSD","offer_id":45705576153171,"sku":"ROBO164","price":87149.99,"currency_code":"INR","in_stock":true},{"title":"8GB \/ 480GB SSD","offer_id":45705576185939,"sku":"ROBO165","price":89699.99,"currency_code":"INR","in_stock":true},{"title":"8GB \/ 960GB SSD","offer_id":45705576218707,"sku":"ROBO166","price":97349.99,"currency_code":"INR","in_stock":true},{"title":"16GB \/ No SSD","offer_id":45705576251475,"sku":"ROBO167","price":98499.99,"currency_code":"INR","in_stock":true},{"title":"16GB \/ 240GB SSD","offer_id":45705576284243,"sku":"ROBO168","price":105899.99,"currency_code":"INR","in_stock":true},{"title":"16GB \/ 480GB SSD","offer_id":45705576317011,"sku":"ROBO169","price":108499.99,"currency_code":"INR","in_stock":true},{"title":"16GB \/ 960GB SSD","offer_id":45705576349779,"sku":"ROBO170","price":116099.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/XAVIERNX-2_720x_c66a6867-2b96-42dd-b3da-a0eeaf967811.webp?v=1781604352"},{"product_id":"jetson-nano-compact-deploy-kit-b01-4gb","title":"Jetson Nano Compact Deploy Kit (B01 - 4GB)","description":"\u003ch4\u003e\u003cspan\u003eNVIDIA Jetson Nano Development Kit\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp\u003eThe power of modern AI is now available for makers, learners, and embedded developers everywhere.\u003c\/p\u003e\n\u003cp\u003eNVIDIA\u003csup\u003e®\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003eJetson Nano\u003csup\u003e™\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003eDeveloper Kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs in as little as 5 watts.\u003c\/p\u003e\n\u003cp\u003eDue to the unavailability of the NVIDIA Jetson Dev Kits, ROBOi bring to you a custom Nano Dev Kit, with the following components:\u003cbr\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/thinkrobotics.in\/products\/weact-studio-tx2-nx-carrier-board?_pos=2\u0026amp;_psq=weact\u0026amp;_ss=e\u0026amp;_v=1.0\" rel=\"null noopener\" target=\"_blank\"\u003eWeAct Carrier Board\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-nano-module?_pos=2\u0026amp;_psq=jetson%20nano\u0026amp;_ss=e\u0026amp;_v=1.0\" rel=\"null noopener\" target=\"_blank\"\u003eJetson Nano Module\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003ca href=\"https:\/\/thinkrobotics.in\/products\/jetson-nano-heatsink?_pos=2\u0026amp;_psq=nano%20heat%20\u0026amp;_ss=e\u0026amp;_v=1.0\"\u003eJetson Nano Heat Sink\u003c\/a\u003e \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eGet started today with the Jetson Nano Developer Kit, flashed with Ubuntu, these kits are ready to use out of the box. \u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eBULK Quantity discount available. Contact us for custom boot loading and scripting of the Nano Module. We can make it AI ready for you.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAll Jetson kits ship FREE with Bluedart (applicable to Bluedart service zones only).\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe carrier board from WeAct Studio meets the requirements set by the Xavier NX, TX2 NX and Nano modules, including wide voltage input range, a variety of interfaces, low power consumption, power protection and a host of other features.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSuitable for NVIDIA Jetson Nano, Xavier NX and TX2 NX Modules\u003c\/li\u003e\n\u003cli\u003eInput Voltage: 7V ~ 26V\u003c\/li\u003e\n\u003cli\u003eMaximum Power Consumption: 25W\u003c\/li\u003e\n\u003cli\u003eOperating Temperature: 0℃ ~ 70\u003cspan\u003e \u003c\/span\u003e\u003cspan\u003e℃\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003eSize: 90mm X 60mm X 24mm\u003c\/li\u003e\n\u003cli\u003eWeight: 58g\u003c\/li\u003e\n\u003cli\u003eInterfaces: USB3.0 x2, USB2.0 x2, USB_OTG x1, MicroSD x1, MiniPCIE x1, HDMI x1, CAN x1 (Xavier NX, TX2 NX), MIPI CSI x2, Giga Ethernet x1, 3.3V UART x2, 3v3 GPIO x2\u003c\/li\u003e\n\u003cli\u003eAdditional Functions:\u003c\/li\u003e\n\u003cul\u003e\n\u003cli\u003eSupports Auto Boot\/ Sleep\/ Shutdown on Long Press\u003c\/li\u003e\n\u003cli\u003eSupports OPP \/ OVP \/ OCP Protection\u003c\/li\u003e\n\u003cli\u003eSupports Peripheral power protection \/ full interface ESD protection\u003c\/li\u003e\n\u003cli\u003eDischarge circuit\u003c\/li\u003e\n\u003cli\u003eSupports Onboard PCIe Wireless Wifi \/ 4G Network Card\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cli\u003eUser Manual at\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/github.com\/WeActTC\/Nano_TX2-Xavier_NX-CB\" rel=\"null noopener\" target=\"_blank\"\u003e\u003cspan\u003e\u003cstrong\u003ehttps:\/\/github.com\/WeActTC\/Nano_TX2-Xavier_NX-CB\u003c\/strong\u003e\u003c\/span\u003e\u003c\/a\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/H2cd7979d19884a5daacf8adfcd792400R.jpg?v=1641315440\" alt=\"\"\u003e\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"Default Title","offer_id":45721863946323,"sku":"ROBO171","price":28999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/SBC1023-2_1066x_4a55c068-d68a-4bcc-a009-6f505b538b17.webp?v=1781956694"},{"product_id":"jetson-agx-orin-industrial-box-pc-dsbox-agx","title":"Jetson AGX Orin Industrial Box PC - DSBOX-AGX","description":"\u003ch4\u003e\u003cspan\u003eIndustrial Grade Box PX for NVIDIA Jetson AGX Orin™ Processors\u003c\/span\u003e\u003c\/h4\u003e\n\u003ch4\u003e\n\u003cspan style=\"font-family: -apple-system, BlinkMacSystemFont, 'San Francisco', 'Segoe UI', Roboto, 'Helvetica Neue', sans-serif; font-size: 1.4em;\"\u003eRobust Industrial Grade Supercomputer for Edge AI applications\u003c\/span\u003e\u003cbr\u003e\n\u003c\/h4\u003e\n\u003cp style=\"font-weight: 500;\"\u003e\u003cb\u003e\u003cstrong\u003e \u003c\/strong\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003ch4 style=\"font-weight: 500;\"\u003eUNMATCHED PERFORMANCE \u003c\/h4\u003e\n\u003cp\u003eThe DSBOX-AGX industrial box PC, is a powerful and reliable solution for industrial applications. With its NVIDIA AGX Orin™ SoM, it delivers exceptional 275 TOPS performance and can handle up to 6 simultaneous 4K video streams or 36 simultaneous 1080p video streams, make it reliable and ideal for edge computing.\u003c\/p\u003e\n\u003cp\u003eThe DSBOX-AGX supports two different NVIDIA Jetson AGX Orin™ modules: the 32GB version and the 64GB version. Both modules offer exceptional performance and storage capacity. It features an octa-core Arm® Cortex®-A78 CPU, a 384-core NVIDIA Volta GPU, and two NVIDIA Deep Learning Accelerator (NVDLA) engines, providing exceptional performance and efficiency. It can decode video streams from cameras, sensors, and other equipment, providing real-time monitoring and analysis of industrial processes. Whether you choose the NVIDIA Jetson AGX Orin™ 32GB or the 64GB version, you can be confident that the DSBOX-AGX industrial box PC will provide exceptional performance and reliability.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4 style=\"font-weight: 500;\"\u003eADVANCED FUNCTIONALITY\u003c\/h4\u003e\n\u003cp\u003eThe DSBOX-AGX industrial box PC offers unparalleled connectivity and functionality for a variety of industrial uses. With its Gigabit Ethernet, USB 3.2, HDMI, CAN, Serial Ports, and Digital I\/Os, it is the ideal solution for any industrial application. The Gigabit Ethernet port provides high-speed network connectivity, while the USB 3.2 ports provide fast data transfer rates. The HDMI port enables high-quality video output, and the CAN and Serial Ports provide additional connectivity options for a variety of industrial uses. The Digital I\/Os allow for the control and monitoring of industrial processes, ensuring that the DSBOX-AGX can handle a wide range of industrial applications.\u003c\/p\u003e\n\u003cp\u003eIn addition to its standard connectivity options, the DSBOX-AGX also features extension sockets that provide additional connectivity options for specialized industrial applications. These extension sockets include a Mini-PCIe socket and a M.2 socket, which can be used to add Wi-Fi, Bluetooth, and other wireless connectivity options.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4 style=\"font-weight: 500;\"\u003eROBUST AND COMPACT DESIGN\u003c\/h4\u003e\n\u003cp\u003eDSBOX-AGX industrial box PC is a compact and robust solution with its rugged design and fanless construction, it can withstand harsh environments and demanding workloads. Plus, its powerful performance and reliable operation ensure that you get the results you need for your industrial applications.\u003c\/p\u003e\n\u003cp\u003eDSBOX-AGX industrial box PC is designed to operate in a wide range of ambient conditions, with a temperature range of -25°C to +85°C. This makes it suitable for use in harsh industrial environments that require reliable performance in extreme temperatures. In addition to its rugged design and reliable performance, the DSBOX-AGX also features a compact form factor, with dimensions of 160 mm x 110 mm x 65 mm. This compact size makes it easy to integrate into existing industrial systems. The DSBOX-AGX also features a fanless construction, which further enhances its reliability and durability in industrial environments. The absence of a fan ensures that the DSBOX-AGX can operate quietly and reliably, without the risk of fan failure.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4 style=\"font-weight: 500;\"\u003eBOOST YOUR INDUSTRY\u003c\/h4\u003e\n\u003cp\u003eThe DSBOX-AGX industrial box PC is the perfect solution to boost your industrial applications. With its NVIDIA AGX Orin SoM, this box PC is designed to operate with a power supply of 12-32 VDC. DSBOX-AGX is a reliable and versatile industrial box PC that is designed to operate with a wide range of power supplies. Its low-power design, combined with over voltage protection, ensures that it can operate reliably and efficiently in a variety of industrial applications.\u003c\/p\u003e\n\u003cp\u003eIts powerful CPU and GPU, combined with its advanced AI inference capabilities, ensure that it can provide reliable and efficient performance in even the most demanding industrial environments. The advanced graphics processing capabilities also make it ideal for applications that require high-quality video output, such as surveillance systems.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4\u003eResources\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/hs.forecr.io\/hubfs\/DATASHEETS\/dsbox-agx-datasheet-v1.0.pdf\" rel=\"null noopener\" target=\"_blank\"\u003eDatasheet\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/github.com\/mistelektronik\/forecr_3d_models\/tree\/master\/DSBOX-AGX\" rel=\"null noopener\" target=\"_blank\"\u003e3D Model\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.forecr.io\/blogs\/installation\/jetpack-5-1-installation-for-dsboard-agx\" rel=\"null noopener\" target=\"_blank\"\u003eInstallation\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e \u003c\/h2\u003e\n\u003ch4\u003eTechnical Specifications\u003c\/h4\u003e\n\u003cdiv class=\"module-wrap\" id=\"m-1618852931930\"\u003e\n\u003cdiv class=\"module gf_module- gf_module--lg gf_module--md gf_module--sm gf_module--xs\"\u003e\n\u003cdiv class=\"scrollable-wrapper\"\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSupported Modules\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\n\u003cp\u003eNVIDIA Jetson AGX Orin 32GB\u003c\/p\u003e\n\u003cp\u003eNVIDIA Jetson AGX Orin 64GB\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\n\u003cp\u003e32 GB 256-bit LPDDR5x\u003c\/p\u003e\n\u003cp\u003e64 GB 256-bit LPDDR5x\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGraphics Interfaces\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1x HDMI 2.0 (max resolution 3840x2160)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInterfaces\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\n\u003cp\u003e1x Gigabit Ethernet\u003c\/p\u003e\n\u003cp\u003e2x USB 3.1 Type-A\u003c\/p\u003e\n\u003cp\u003e1x CAN Bus\u003c\/p\u003e\n\u003cp\u003e1x RS232\/422\/485 (software configurable)\u003c\/p\u003e\n\u003cp\u003e2x USB-C (Debug\/Recovery)\u003c\/p\u003e\n\u003cp\u003e2x Digital Input, 3x Digital Output\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWireless Communication\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eWiFi\/LTE\/5G Connectivity by extension sockets\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower Supply\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e12-32 VDC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eExtension Sockets\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\n\u003cp\u003e1x M.2 Key-B, 1x SIM, 1x MicroSD\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMass Storage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\n\u003cp\u003e64 GB eMMC 5.1 Flash\u003c\/p\u003e\n\u003cp\u003e1x M.2 Key-M SSD Slot\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAmbient Conditions\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-25°C … +85°C \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eForm Factor \/ Dimensions\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e160 mm x 110 mm x 65 mm, 1340 gr \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOperating Systems\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUbuntu Linux 20.04\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eJetPack Support\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eJetPack 5.x (5.0.2 \/ 5.1)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"32GB \/ None","offer_id":45721891668051,"sku":"ROBO172","price":199999.99,"currency_code":"INR","in_stock":true},{"title":"32GB \/ Power Block (90W)","offer_id":45721891700819,"sku":"ROBO173","price":202999.99,"currency_code":"INR","in_stock":true},{"title":"32GB \/ 250GB NVME SSD","offer_id":45721891733587,"sku":"ROBO174","price":205499.99,"currency_code":"INR","in_stock":true},{"title":"32GB \/ Power Block (90W) + 250GB NVME SSD","offer_id":45721891766355,"sku":"ROBO175","price":208499.99,"currency_code":"INR","in_stock":true},{"title":"64GB \/ None","offer_id":45721891799123,"sku":"ROBO176","price":288999.99,"currency_code":"INR","in_stock":true},{"title":"64GB \/ Power Block (90W)","offer_id":45721891831891,"sku":"ROBO177","price":292999.99,"currency_code":"INR","in_stock":true},{"title":"64GB \/ 250GB NVME SSD","offer_id":45721891864659,"sku":"ROBO178","price":293499.99,"currency_code":"INR","in_stock":true},{"title":"64GB \/ Power Block (90W) + 250GB NVME SSD","offer_id":45721891897427,"sku":"ROBO179","price":298499.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/dsbox-agx-4_720x_d2c02d8f-558a-4ecc-964c-4f322a6b3cd9.webp?v=1781958163"},{"product_id":"nvidia-jetson-agx-xavier-embedded-system-kit","title":"NVIDIA Jetson AGX Xavier Embedded System Kit","description":"\u003ch4 style=\"text-align: center;\"\u003eJetson AGX Xavier Deployment Kit\u003c\/h4\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cspan\u003eThe Jetson AGX Xavier series of modules delivers up to 32 TOPS of AI performance and NVIDIA’s rich set of AI tools and workflows, letting developers train and deploy neural networks quickly.\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp style=\"text-align: left;\"\u003e\u003cstrong\u003e\u003c\/strong\u003eThis robust embedded system is assembled with an industrial grade carrier board from Forecr.io, heat sink and a power supply from Meanwell. This is a device for supercomputer level edge Edge AI applications with multiple MIPI CSI-2 camera requirements. We install Jetpack on each device before shipping, for custom installations, or NVME SSD booting, please contact us after placing the order.\u003c\/p\u003e\n\u003ch4 style=\"text-align: left;\"\u003ePackage Includes:\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eAssembled Embedded System with\u003c\/li\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-agx-xavier-module\" rel=\"null noopener\" target=\"_blank\"\u003eAGX Xavier SOM (32GB or 64GB)\u003c\/a\u003e or\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-agx-xavier-industrial?_pos=2\u0026amp;_sid=cf83a9438\u0026amp;_ss=r\" rel=\"null noopener\" target=\"_blank\"\u003eAGX Industrial SOM\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003ca href=\"https:\/\/thinkrobotics.in\/products\/forecr-jetson-xavier-agx-carrier-board\" rel=\"null noopener\" target=\"_blank\"\u003eForecr DSBOARD-XV2\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003ecarrier board\u003c\/li\u003e\n\u003cli\u003e\n\u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia%C2%AE-jetson-agx-xavier%E2%84%A2-passive-heat-sink\" rel=\"null noopener\" target=\"_blank\"\u003ePassive\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003eor\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia%C2%AE-jetson-agx-xavier%E2%84%A2-active-heat-sink\" rel=\"null noopener\" target=\"_blank\"\u003eActive\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003eHeatsink\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cli\u003eCarbon Fiber ABS 3D Printed Enclosure\u003c\/li\u003e\n\u003cli\u003e\n\u003ca href=\"https:\/\/thinkrobotics.in\/products\/meanwell-gs120a24-p1m-ac-dc-industrial-desktop-adaptor-24v-5a\" rel=\"null noopener\" target=\"_blank\"\u003e24V\/5A Meanwell 120W Power Supply\u003c\/a\u003e (modified with connector)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cblockquote\u003e\n\u003cp style=\"text-align: left;\"\u003eThere may be a lead time of 2 weeks on certain variants\u003cbr\u003e\u003c\/p\u003e\n\u003c\/blockquote\u003e\n\u003ch4\u003eImportant References:\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ca href=\"https:\/\/hs.forecr.io\/hubfs\/DATASHEETS\/dsboard-xv2-datasheet-1.0.pdf\" rel=\"null noopener\" target=\"_blank\"\u003eDatasheet\u003c\/a\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eInstallation\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/www.forecr.io\/blogs\/installation\/jetpack-4-6-installation-for-dsboard-xv2\" rel=\"null noopener\" target=\"_blank\"\u003eInstructions\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003eGetting Started\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/www.forecr.io\/blogs\/getting-started\/dsboard-xv2-getting-started\" rel=\"null noopener\" target=\"_blank\"\u003eGuide\u003c\/a\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/dsboard-xv2-dark-bg-with-features.webp?v=1651022572\" style=\"float: none;\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"element-wrap\" id=\"e-1618851835946\"\u003e\n\u003cdiv class=\"elm text-edit gf-elm-center gf-elm--lg gf-elm--md gf-elm--sm gf-elm--xs gf-elm-justify-sm gf-elm-justify-xs gf-elm-left-md gf-elm-justify-lg\"\u003e\n\u003ch4\u003eTOP PERFORMANCE ON AI DEPLOYMENTS\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"element-wrap\" id=\"e-1618851817638\"\u003e\n\u003cdiv class=\"elm text-edit gf-elm-left gf-elm-justify-md gf-elm-justify-sm gf-elm-justify-xs gf-elm-justify-lg\"\u003e\n\u003cp\u003eDSBOARD-XV2 is a high-performance industrial level carrier board for NVIDIA® Jetson™ AGX Xavier™ processor. It’s ideal size and supercomputer level performance with 32 TOPs enables a wide range of applications, from deep learning algorithms to autonomous machines. Jetson™ AGX Xavier™ can encode up to 8 4K streams and decode 12 4K streams.\u003c\/p\u003e\n\u003cp\u003eNVIDIA® TensorRT library and Deepstream framework provide a basis for the maximum performance of the NVIDIA® Jetson™ AGX Xavier™ processor. Together with the required optimizations in the embedded form factors, obtaining desktop GPU level framerates with deep learning algorithms is no surprise. For more details regarding the performance of NVIDIA® Jetson™ processors, you can visit the NVIDIA®’s DeepStream SDK website.  \u003c\/p\u003e\n\u003cp\u003e \u003cbr\u003e\u003c\/p\u003e\n\u003cdiv class=\"element-wrap\" id=\"e-1618852408202\"\u003e\n\u003cdiv class=\"elm text-edit gf-elm-center gf-elm-justify-sm gf-elm-justify-xs gf-elm-left-md gf-elm-justify-lg\"\u003e\n\u003ch4\u003eALWAYS READY TO USE\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"element-wrap\" id=\"e-1618852412098\"\u003e\n\u003cdiv class=\"elm text-edit gf-elm-left gf-elm-justify-lg gf-elm-justify-md gf-elm-justify-sm gf-elm-justify-xs\"\u003e\n\u003cp\u003eDSBOARD-XV2 supports both Jetson™ AGX Xavier™ and Jetson™ AGX Xavier™ Industrial with all the features. We provide the most recent release of BSP packages of Jetpack that NVIDIA® provides. In just two weeks after the new announcement of Jetpack, we publish additional connectivity and OS related tutorials on our blog pages.\u003c\/p\u003e\n\u003cp\u003eAs Forecr, we also provide solutions to mechanical integration problems for our customers at the carrier board level. To make the Jetson™ modules work efficiently even under maximum loads, we created a thermal transfer plate option. When you order DSBOARD-XV2 with a module option, the suitable thermal transfer unit and screw set will be included in the package. We integrate the module and mechanical parts to the carrier board, flash the recent Jetpack software, and our BSP package to deliver a ready-to-use system to your hands. \u003c\/p\u003e\n\u003cp\u003e \u003cbr\u003e\u003c\/p\u003e\n\u003cdiv class=\"element-wrap\" id=\"e-1618851977475\"\u003e\n\u003cdiv class=\"elm text-edit gf-elm-center gf-elm-justify-sm gf-elm-left-md gf-elm-center-xs gf-elm-left-lg\"\u003e\n\u003ch4\u003eRICH CONNECTIVITY OPTIONS  \u003c\/h4\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"element-wrap\" id=\"e-1618851992166\"\u003e\n\u003cdiv class=\"elm text-edit gf-elm-left gf-elm-justify-lg gf-elm-justify-md gf-elm-justify-sm gf-elm-justify-xs\"\u003e\n\u003cp\u003eDSBOARD-XV2 comes with both internal and external connections that can be used in a variety of applications at the industry. With high-speed interfaces such as Gigabit Ethernet and USB 3.1, you can connect to high-speed devices and transfer data up to 136.5 GB\/s speed bandwidth quickly. We also included industrial-level communication interfaces such as CAN Bus and software configurable RS232\/422\/485 ports.\u003c\/p\u003e\n\u003cp\u003eDSBOARD-XV2 is designed to be used in various different industries so we included board-level connectors and rich camera connections as well. DSBOARD-XV2 supports up to six MIPI CSI-2 camera connections compatible with standard Raspberry Pi pinout. Additional board-level connectors with UART, SPI, I2C, PCIe signals are also available. \u003c\/p\u003e\n\u003cp\u003e \u003cbr\u003e\u003c\/p\u003e\n\u003cdiv class=\"element-wrap\" id=\"e-1618852482764\"\u003e\n\u003cdiv class=\"elm text-edit gf-elm-center gf-elm-left-md gf-elm-left-sm gf-elm-left-xs gf-elm-left-lg\"\u003e\n\u003ch4\u003eUTILIZATION WITH THE MAXIMUM SPEED\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"element-wrap\" id=\"e-1618852482720\"\u003e\n\u003cdiv class=\"elm text-edit gf-elm-left gf-elm-justify-lg gf-elm-justify-md gf-elm-justify-sm gf-elm-justify-xs\"\u003e\n\u003cp\u003eDSBOARD-XV2 has 4x PCI Gen 4 support for M.2 Key-M SSD slot, Gigabit Ethernet, 2x USB 3.1 and M.2 Key-B with USB 3.1 connection. Together with these interfaces, board level MIPI CSI-2 interfaces and SD Card interfaces are available as high-speed interfaces.\u003c\/p\u003e\n\u003cp\u003eThe bandwidths of USB 3.1 interfaces with high-speed cameras, Gigabit Ethernet with network throughput softwares, functionality and FPS performance of MIPI CSI-2 interfaces with high resolution cameras, NVMe SSD read\/write performances with a PCIE GEN4 compatible NVMe SSD are tested by our engineering team prior to the shipment. We make sure that the performance of our carrier boards is stable and at the maximum efficiency before deliver to our customers. \u003c\/p\u003e\n\u003cp\u003e \u003cbr\u003e\u003c\/p\u003e\n\u003cdiv class=\"element-wrap\" id=\"e-1618852741492\"\u003e\n\u003cdiv class=\"elm text-edit gf-elm-center gf-elm-left-md gf-elm-left-sm gf-elm-left-xs gf-elm-left-lg\"\u003e\n\u003ch4\u003ePOWER EFFICIENCY WITH LONG ENDURANCE\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"element-wrap\" id=\"e-1618852741427\"\u003e\n\u003cdiv class=\"elm text-edit gf-elm-left gf-elm-justify-lg gf-elm-justify-md gf-elm-justify-sm gf-elm-justify-xs\"\u003e\n\u003cp\u003eDSBOARD-XV2 supports wide input voltage range together with a reliable power connector. Any power supply between 18-32 VDC range can be connected, and it will work 24\/7, for weeks and months without any issues even under maximum CPU and GPU loads. DSBOARD-XV2 has a robust power circuitry and durability for extended temperature range between -40°C to 85°C to make the board adapt to every industrial environment.\u003c\/p\u003e\n\u003cp\u003eWith Jetson™ AGX Xavier’s high bandwidth low-power RAM, powerful applications can run efficiently by consuming a small amount of power. DSBOARD-XV2 also supports internal mass storage such as 32 GB eMMC 5.1 Flash and MicroSD. \u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e \u003cbr\u003e\u003c\/p\u003e\n\u003cdiv class=\"element-wrap\" id=\"e-1618853681889\"\u003e\n\u003cdiv class=\"elm text-edit gf-elm-center gf-elm-center-md gf-elm-center-sm gf-elm-center-xs gf-elm-center-lg\"\u003e\n\u003ch4\u003eTechnical Specifications of Carrier Board\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"module-wrap\" id=\"m-1618852931930\"\u003e\n\u003cdiv class=\"module gf_module- gf_module--lg gf_module--md gf_module--sm gf_module--xs\"\u003e\n\u003cdiv class=\"scrollable-wrapper\"\u003e\n\u003ctable class=\"table table-bordered\" style=\"width: 100.048%; height: 539.6px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 44.2373%; height: 19.6px;\"\u003e\u003cstrong\u003eSUPPORTED MODULES\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 52.4213%; height: 19.6px;\"\u003eNVIDIA Jetson AGX Xavier\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 44.2373%; height: 19.6px;\"\u003e\u003cstrong\u003eMEMORY\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 52.4213%; height: 19.6px;\"\u003e32 GB 256-bit LPDDR4x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2px;\"\u003e\n\u003ctd style=\"width: 44.2373%; height: 39.2px;\"\u003e\u003cstrong\u003eGRAPHIC INTERFACES\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 52.4213%; height: 39.2px;\"\u003e1x HDMI 2.0 (max resolution 3840x2160)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 213.6px;\"\u003e\n\u003ctd style=\"width: 44.2373%; height: 213.6px;\"\u003e\u003cstrong\u003eINTERFACES\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 52.4213%; height: 213.6px;\"\u003e\n\u003cp\u003e1x Gigabit Ethernet \u003c\/p\u003e\n\u003cp\u003e3x USB 3.1\u003c\/p\u003e\n\u003cp\u003e1x CAN Bus \u003c\/p\u003e\n\u003cp\u003e1x RS232\/422\/485\u003c\/p\u003e\n\u003cp\u003e2xDigital In\/3x Digital Out \u003c\/p\u003e\n\u003cp\u003e1x USB 2.0 (Debug UART) \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2px;\"\u003e\n\u003ctd style=\"width: 44.2373%; height: 39.2px;\"\u003e\u003cstrong\u003eWIRELESS COMMUNICATION\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 52.4213%; height: 39.2px;\"\u003eOptional M.2 Key-E Cards\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 44.2373%; height: 19.6px;\"\u003e\u003cstrong\u003ePOWER SUPPLY\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 52.4213%; height: 19.6px;\"\u003e18-32 VDC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2px;\"\u003e\n\u003ctd style=\"width: 44.2373%; height: 39.2px;\"\u003e\n\u003cstrong\u003eINTERNAL EXTENSION \u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003eSOCKETS\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 52.4213%; height: 39.2px;\"\u003e1x M.2 Key M (PCIe Gen4 x4)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.2px;\"\u003e\n\u003ctd style=\"width: 44.2373%; height: 71.2px;\"\u003e\u003cstrong\u003eINTERNAL MASS STORAGE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 52.4213%; height: 71.2px;\"\u003e\n\u003cp\u003e32 GB eMMC 5.1 Flash \u003c\/p\u003e\n\u003cp\u003e1x MicroSD Card\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 44.2373%; height: 19.6px;\"\u003e\u003cstrong\u003eAMBIENT CONDITIONS\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 52.4213%; height: 19.6px;\"\u003e-40°C … +85°C \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2px;\"\u003e\n\u003ctd style=\"width: 44.2373%; height: 39.2px;\"\u003e\u003cstrong\u003eFORM FACTOR \/ DIMENSIONS\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 52.4213%; height: 39.2px;\"\u003e100 mm x 100 mm \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6px;\"\u003e\n\u003ctd style=\"width: 44.2373%; height: 19.6px;\"\u003e\u003cstrong\u003eOPERATING SYSTEMS\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 52.4213%; height: 19.6px;\"\u003eUbuntu Linux 18.04\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"32GB \/ Passive Heatsink \/ 480GB","offer_id":45721946194003,"sku":"ROBO180","price":178749.99,"currency_code":"INR","in_stock":true},{"title":"32GB \/ Passive Heatsink \/ 960GB","offer_id":45721946226771,"sku":"ROBO181","price":181749.99,"currency_code":"INR","in_stock":true},{"title":"32GB \/ Active Heatsink \/ 480GB","offer_id":45721946259539,"sku":"ROBO182","price":184749.99,"currency_code":"INR","in_stock":true},{"title":"32GB \/ Active Heatsink \/ 960GB","offer_id":45721946292307,"sku":"ROBO183","price":188749.99,"currency_code":"INR","in_stock":true},{"title":"Industrial 32GB \/ Passive Heatsink \/ 480GB","offer_id":45721946325075,"sku":"ROBO184","price":222749.99,"currency_code":"INR","in_stock":true},{"title":"Industrial 32GB \/ Passive Heatsink \/ 960GB","offer_id":45721946357843,"sku":"ROBO185","price":226749.99,"currency_code":"INR","in_stock":true},{"title":"Industrial 32GB \/ Active Heatsink \/ 480GB","offer_id":45721946390611,"sku":"ROBO186","price":228749.99,"currency_code":"INR","in_stock":true},{"title":"Industrial 32GB \/ Active Heatsink \/ 960GB","offer_id":45721946423379,"sku":"ROBO187","price":232749.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/AGX-3_720x_0f1e1271-3247-41f6-9800-785b7f6ef073.webp?v=1781959277"},{"product_id":"sima-ai-modalix-deployment-kit-sw-license-extra","title":"SiMa.ai Modalix Deployment Kit : (SW license extra)","description":"\u003ch2\u003eModalix Deployment Kit\u003c\/h2\u003e\n\u003cp\u003eThe SiMa.ai MLSoC Modalix Development Kit (DevKit) is a complete hardware and software platform for evaluating and prototyping intelligent Physical AI applications using the latest Modalix System-on-Module (SoM).\u003c\/p\u003e\n\u003cp\u003eDesigned for rapid deployment, this kit enables seamless development, benchmarking, and proof-of-concept creation with SiMa.ai’s Palette software, offering best-in-class performance-per-watt in a compact form factor. Ideal for industrial, robotics, and vision-based and LLM-based applications, this kit supports real-time inferencing across computer vision, transformer models, and GenAI workloads.\u003c\/p\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"feature-grid\"\u003e\n\u003cdiv class=\"card\"\u003e\n\u003ch3\u003eBuild, test, and deploy AI apps fast\u003c\/h3\u003e\n\u003cp\u003eLaunch edge AI applications in just minutes with our streamlined workflow\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card\"\u003e\n\u003ch3\u003ePrototype smart, autonomous systems\u003c\/h3\u003e\n\u003cp\u003eDesign Physical AI, robotics, and sensor-based apps with ease\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card\"\u003e\n\u003ch3\u003eExplore demos, models, and docs\u003c\/h3\u003e\n\u003cp\u003eAccess ready-to-run examples, pretrained models, and full guides\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card\"\u003e\n\u003ch3\u003eComplete kit with all essentials\u003c\/h3\u003e\n\u003cp\u003eFast deployment includes software, cables, tools, and power—no extras needed\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card\"\u003e\n\u003ch3\u003eDeploy your models seamlessly with industry-standard compatibility\u003c\/h3\u003e\n\u003cp\u003eDeploy your models seamlessly with industry-standard compatibility\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003ePowered by MLSoC Modalix SoM\u003c\/h2\u003e\n\u003cp\u003eThe MLSoC Modalix System-on-Module (SoM) provides the proven performance of the Modalix MLSoC architecture in a compact, deployment-ready form factor, purpose-built to Scale Physical AI applications.\u003c\/p\u003e\n\u003cp\u003eThe Modalix innovative system architecture seamlessly integrates a set of compute engines and peripherals, delivering best-in-class performance per watt for advanced workloads, including multimodal Transformers, Large Language Models (LLMs), Large Multimodal Models (LMMs), and Generative AI (GenAI). It also maintains full support for legacy convolutional neural networks (CNNs) and traditional\u003cbr\u003ecomputer vision algorithms, ensuring broad compatibility across both modern and established ML pipelines.\u003c\/p\u003e\n\u003cp\u003eThe Modalix SoM offers the best-in-class performance per watt.\u003c\/p\u003e\n\u003cp\u003e\u003cimg alt=\"\" src=\"https:\/\/sima.ai\/wp-content\/uploads\/2025\/08\/som-chips-with-bg.png\" class=\"object-contain\" decoding=\"async\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eMLSoC Modalix SoM Feature Highlights\u003cbr\u003e\n\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMachine Learning Accelerator (MLA)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e50 TOPs (BF16, INT8, INT16)\u003cbr\u003eSupports LLMs, neural networks, and GenAI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eApplication Compute Unit (ACU)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8 × ARM Cortex-A65 @ 1.4 GHz\u003cbr\u003e32K Dhrystone MIPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e32 GB or 8 GB on-board 128-bit LPDDR5 (6400 Mbps) system memory\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBoot and Security Unit (BSU)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSecure boot with boot code authentication and encryption\u003cbr\u003eSecure key storage and management\u003cbr\u003eSecurity engine for user code\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo Codec\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDecode H.264 \/ H.265 \/ AV1 up to 4K60\u003cbr\u003eEncode H.264 \/ H.265 up to 4K60\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eComputer Vision Unit (CVU)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4-core Synopsys EV74 DSP @ 1 GHz\u003cbr\u003e720 GOPS (16-bit)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eLow-Latency ISP\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eARM Mali-C-1 @ 1.2 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDisplay Connectivity\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eHDMI 1.4 port with 4K resolution\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePeripherals\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4 × 2-lane MIPI CSI-2\u003cbr\u003e4 × PCIe Gen5 RC \u0026amp; EP\u003cbr\u003e1 × 1Gb Ethernet PHY\u003cbr\u003e3 × USB 3.0\u003cbr\u003e4 × I2C, 3 × UART, 14 × GPIO\u003cbr\u003e2 × SPI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eExternal NVMe via PCIe x4\u003cbr\u003eExternal SSD via USB 3.0\u003cbr\u003e16 GB eMMC flash\u003cbr\u003e64 MB QSPI flash\u003cbr\u003e128 KB EEPROM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower Supply\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eFlexible 5–20 V power input\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eForm Factor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e69.6 mm × 45 mm\u003cbr\u003e260-pin SO-DIMM connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOperating Temperature\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003eCommercial SoM: \u003c\/strong\u003e 0°C to +60°C\u003cbr\u003e\u003cstrong\u003e    Industrial SoM: \u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e-40°C to +85°C\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eDevelopment Flow\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003ePhase\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth\u003e\u003cstrong\u003eDescription\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth\u003e\u003cstrong\u003eDetails\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEvaluate\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUse Palette to compile and run models, assess performance (FPS, latency, compute utilization), and monitor system metrics.\u003c\/td\u003e\n\u003ctd\u003e\n\u003cul\u003e\n\u003cli\u003eDocker-based toolchain\u003c\/li\u003e\n\u003cli\u003eARM cross-compiler\u003c\/li\u003e\n\u003cli\u003ePlatform image build \u0026amp; deploy tools\u003c\/li\u003e\n\u003cli\u003eIntegrated KPIs and performance feedback\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePrototype\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDevelopers can rapidly prototype functional pipelines using SiMa.ai’s Python APIs.\u003c\/td\u003e\n\u003ctd\u003eEnables fast bring-up of custom ML workflows directly on the hardware without complex embedded optimization.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDemonstrate\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eThe Deployment supports multi-camera input and high-speed interfaces for showcasing applications.\u003c\/td\u003e\n\u003ctd\u003e\n\u003cul\u003e\n\u003cli\u003eMIPI CSI-2\u003c\/li\u003e\n\u003cli\u003eIP-based input\u003c\/li\u003e\n\u003cli\u003eUSB 3.2\u003c\/li\u003e\n\u003cli\u003eReal-time vision AI demo via HDMI with minimal latency\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eAvailable Interfaces\u003c\/h2\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Gemini_Generated_Image_7t3n4p7t3n4p7t3n.png?v=1763376133\" alt=\"\"\u003e\u003c\/p\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eNo.\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth\u003e\u003cstrong\u003eInterfaces\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003ctd\u003eHDMI 1.4 @ 4K\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e2\u003c\/td\u003e\n\u003ctd\u003e2 × MIPI CSI-2 Connectors\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e3\u003c\/td\u003e\n\u003ctd\u003eM.2 M — 4× PCIe Gen4 RC\/EP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e4\u003c\/td\u003e\n\u003ctd\u003e4× USB 3.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e5\u003c\/td\u003e\n\u003ctd\u003e1× USB-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e6\u003c\/td\u003e\n\u003ctd\u003e1× Gigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e7\u003c\/td\u003e\n\u003ctd\u003eI²C \/ UART \/ GPIO \/ SPI \/ GPIO\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eResources\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Brief\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Modalix-SoM-Product-Brief_05.3.pdf?v=1770721342\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eWhat’s Included\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eParts\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth\u003e\u003cstrong\u003eQuantity\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModalix SoM 32GB\u003cspan\u003e \u003c\/span\u003e\u003cspan\u003e(Commercial\/Industrial)\u003c\/span\u003e\n\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCarrier Board\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eActive Heatsink\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eM.2 240GB NVME Solid State Drive\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e12V\/5A Power Supply\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMetal Enclosure\u003c\/td\u003e\n\u003ctd\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"Roboi","offers":[{"title":"Commercial","offer_id":45787839856723,"sku":"ROBO188","price":84999.99,"currency_code":"INR","in_stock":true},{"title":"Industrial","offer_id":45787839889491,"sku":"ROBO189","price":89999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/devkit-3-0_480x256_a69c6869-5027-45f2-92e6-1c0f93dfd6d4.webp?v=1783315839"},{"product_id":"recomputer-robotics-j4012-with-gmsl-extension-intelligent-edge-ai-computer-with-nvidia-jetson-orin-nx-super-16gb","title":"reComputer Robotics J4012 with GMSL Extension - Intelligent Edge AI Computer with NVIDIA Jetson Orin NX Super 16GB","description":"\u003cdiv class=\"rte\" data-read-more-content=\"\"\u003e\n\u003ch2\u003ereComputer Robotics J4012 with NVIDIA Jetson Orin NX Super 16GB\u003c\/h2\u003e\n\u003cp\u003eThe reComputer Robotics J4012 with GMSL Extension is a compact, high-performance edge AI box designed for advanced robotics development. Compatible with NVIDIA® Jetson™ Orin™ NX modules in Super\/MAXN mode, it delivers up to 157 TOPS of AI performance, leveraging up to 1.7x improvement over its predecessor. Pre-installed with JetPack 6.2 and Linux BSP, it ensures seamless deployment, serving as a powerful robotic brain capable of processing complex data from various sensors, including GMSL cameras.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eFeatures\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUp to 157 TOPS using NVIDIA® Jetson™ Orin™ NX 16GB in Super\/MAXN mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInterfaces\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDual RJ45, M.2 for 5G\/Wi-Fi\/BT, 6x USB 3.2, 2x CAN, GMSL2, I2C, UART\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower \u0026amp; Thermal\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eOperates from -20°C to 60°C at 25W, up to 55°C in MAXN mode, supports 19–54V DC input\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSoftware\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePre-installed JetPack 6.2 with Linux BSP, supports NVIDIA Isaac Sim for robotics applications\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGMSL Support\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eReady-to-use GMSL extension supporting multiple GMSL cameras in JetPack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/image-robotic-J4012.webp?v=1777289136\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eJetson Modules Performance with Super Mode\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower Management\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eEnhanced power management for improved efficiency and stability\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFrame Processing\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eImproved higher frame rate processing for smoother performance\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInference\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eReduced inference time for faster AI computations\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e\u003cimg height=\"626\" width=\"1200\" alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/upload\/image-J4011-2.png\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eSpecification\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\"\u003e\u003cstrong\u003eModule\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eApplications Processor (AP)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Jetson Orin™ NX 16GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e157 TOPS (MAXN)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1024-core NVIDIA Ampere GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU Max Frequency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1173 MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8-core Arm® Cortex-A78AE v8.2 64-bit, 2MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU Max Frequency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2.0 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDL Accelerator\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2 × NVDLA v2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDL Max Frequency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1.23 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVision Accelerator\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × PVA v2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e16GB LPDDR5, 128-bit, 102.4GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower Modes\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e10W \/ 15W \/ 25W \/ 40W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo Encode\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1×4K60, 3×4K30, 6×1080p60, 12×1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo Decode\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e1×8K30, 2×4K60, 4×4K30, 9×1080p60, 18×1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCSI Camera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUp to 4 cameras (8 via virtual channels), 8 lanes MIPI CSI-2, D-PHY 2.1 (up to 20Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMechanical\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e69.6mm × 45mm, 260-pin SO-DIMM connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"3\"\u003e\u003cb\u003eCarrier Board\u003c\/b\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1x M.2 KEY M PCIe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"3\"\u003e\u003cstrong\u003eNetworking\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eM.2 KEY E\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Key E for WiFi\/Bluetooth module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eM.2 KEY B\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Key B for 5G module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003e2x RJ-45 Gigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"9\"\u003e\u003cstrong\u003eI\/O\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e6x USB 3.2 Type-A (5Gbps)\u003cbr\u003e1x USB 3.0 Type-C (Host\/DP 1.4)\u003cbr\u003e1x USB 2.0 Type-C (Device Mode Only for Reflash\/Debug)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCAN\u003c\/td\u003e\n\u003ctd\u003e2x CAN0 (XT30(2+2))\u003cbr\u003e3x CAN1 (4-Pin GH-1.25 Header)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003e1x DP1.4 (Type C Host)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUART\u003c\/td\u003e\n\u003ctd\u003e1x UART 4-Pin GH-1.25 Header\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eI2C\u003c\/td\u003e\n\u003ctd\u003e2x I2C 4-Pin GH-1.25 Header\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFan\u003c\/td\u003e\n\u003ctd\u003e1x 4-Pin Fan Connector (5V PWM)\u003cbr\u003e1x 4-Pin Fan Connector (12V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eExtension Port\u003c\/td\u003e\n\u003ctd\u003e1x Camera Expansion Header (GMSL2 board included)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRTC\u003c\/td\u003e\n\u003ctd\u003e1x RTC 2-pin\u003cbr\u003e1x RTC Socket\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLED \/ Buttons\u003c\/td\u003e\n\u003ctd\u003e3x LED (PWR, ACT, User)\u003cbr\u003ePinhole: 1x PWR, 1x RESET\u003cbr\u003eDIP: 1x REC\u003cbr\u003e5x Antenna Hole\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e19–54V XT30(2+2) (XT30 to 5525 DC Jack Cable included)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eJetpack Version\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eJetPack 6.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"3\"\u003e\u003cstrong\u003eMechanical\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDimensions (W × D × H)\u003c\/td\u003e\n\u003ctd\u003e115mm × 115mm × 38mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003e200g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInstallation\u003c\/td\u003e\n\u003ctd\u003eDesk, Wall-mounting\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOperating Temperature\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e-20°C ~ 60°C (25W Mode)\u003cbr\u003e-20°C ~ 55°C (MAXN Mode)\u003cbr\u003e(with reComputer Robotics heat sink with fan)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eWarranty\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e2 Years\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCertification\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eRoHS, CE, FCC, KC (Pending)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"3\"\u003e\u003cstrong\u003eCameras Supported in Jetpack\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eManufacturer\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cb\u003eModel\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cb\u003eResolution\u003c\/b\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"4\"\u003e\u003cstrong\u003eSensing\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eSG3S-ISX031C-GMSL2F\u003c\/td\u003e\n\u003ctd\u003e1920H × 1536V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSG2-AR0233C-5200-G2A\u003c\/td\u003e\n\u003ctd\u003e1920H × 1080V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSG2-IMX390C-5200-G2A\u003c\/td\u003e\n\u003ctd\u003e1920H × 1080V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSG8S-AR0820C-5300-G2A\u003c\/td\u003e\n\u003ctd\u003e3840H × 2160V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOrbbec\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eOrbbec Gemini 335LG\u003c\/td\u003e\n\u003ctd\u003e3D\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eHardware Overview\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp\u003e\u003cimg height=\"900\" width=\"1200\" alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/upload\/image-114110308_1.jpeg\"\u003e\u003cimg height=\"1200\" width=\"1599\" alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/upload\/image-robotic-2.jpeg\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eApplication\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eHumanoid Robot \u0026amp; Manipulation\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eServing as a powerful brain for humanoid robots, the reComputer Robotics series delivers rich perception with precise motion control. Emulating human-like sensing, dexterity, mobility and whole-body coordination—seamlessly collaborating with people to get tasks done.\u003c\/p\u003e\n\u003cp\u003e\u003cimg height=\"447\" width=\"854\" src=\"https:\/\/wdcdn.qpic.cn\/MTY4ODg1NzU3ODgyNzc3Mw_403542_ZBsIfYDwP6YrlbL9_1765331085?w=2500\u0026amp;h=1308\u0026amp;type=image\/jpeg\" id=\"53dd74c9\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAutonomous Robots, AMRs\/ AGVs\/ Logistics Robots\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe CAN bus links servos or motors to drive Robotic Arms and Autonomous Robots with millisecond-level joint coordination.\u003c\/p\u003e\n\u003cp\u003eLogistics Robots map in seconds via UART LiDAR, dodge on the fly and shuttle racks nonstop.\u003cbr\u003eI²C weaves temperature, humidity, IMU and fuel-gauge data into a net, giving robots early-maintenance alerts.\u003c\/p\u003e\n\u003cp\u003eUSB cameras scan barcodes while on the move, and a USB ticket printer labels parcels in real time—zero manual labor from inbound to outbound.\u003c\/p\u003e\n\u003cp\u003eDual-RJ45 link-aggregation delivers video to the Edge AI reCopmputer in \u0026lt;1 ms for real-time QC and remote monitoring.\u003c\/p\u003e\n\u003cp\u003e\u003cimg height=\"470\" width=\"837\" src=\"https:\/\/wdcdn.qpic.cn\/MTY4ODg1NzU3ODgyNzc3Mw_456274_LaWWTRiTvkiCZB4I_1765331122?w=4800\u0026amp;h=2700\u0026amp;type=image\/jpeg\" id=\"a7dc60c2\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHigh-Performance Vision for Robotics\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eCombining a GMSL 2 camera with a reComputer Robotics enables advanced vision-based robotics. Sensing 3MP GMSL 2 camera supports real-time object detection, panoramic environment awareness, and multi-camera 3D reconstruction . The high-bandwidth, low-latency GMSL 2 link supports long cable runs and multi-camera setups, while the Jetson Orin NX delivers real-time AI processing for perception, mapping, and control.\u003c\/p\u003e\n\u003cp\u003e\u003cimg height=\"637\" width=\"1740\" src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer-Jetson\/J501\/yolo_1.gif\" id=\"210c380a\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e3D Vision and GMSL 2 Connectivity for Robotics\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe reComputer Robotics GMSL Extension supports the Orbbec Gemini 335LG Stereo Vision 3D Camera, providing accurate real-time 3D perception for advanced robotics. With the MAX96712 deserializer and mini-FAKRA connector, it ensures secure, low-latency, and reliable data transmission, ideal for AMRs, robotic arms, and collaborative robots. Precise depth sensing enables smarter navigation, robust object recognition, and reliable obstacle avoidance across mobile robots, delivery systems, and shelf-stocking applications.\u003c\/p\u003e\n\u003cp\u003e\u003cimg height=\"625\" width=\"857\" src=\"https:\/\/wdcdn.qpic.cn\/MTY4ODg1NTkyNTI4NTI1NA_409825__MXGaqzpcOJ4xIrg_1765250958?w=1878\u0026amp;h=1368\u0026amp;type=image\/png\" id=\"a44e43e0\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eDocuments\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eUser Manual \u0026amp; Datasheet\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_robotics_J401_user_manual.pdf\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCarrier Board Schematic\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer%20Robotics%20J401_V1.0_SCH_250421.pdf\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Board Schematic\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/Power%20board%20for%20reComputer%20Robotics_V1.0_SCH_250507.pdf\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGMSL Board Schematic\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/GMSL%20board%20for%20reComputer%20Robotics_V1.0_SCH_250717.pdf\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e3D File\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/recomputer_robotics_j401.stp\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMechanical Document-reComputer Robotics PCBA\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/Mechanical_reComputer_Robotics_PCBA.dxf\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeeed NVIDIA Jetson Product Catalog\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed_NVIDIA_Jetson_Catalog_in_Robotics_and_Edge_AI.pdf\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNvidia Jetson Comparison\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/nvidia-jetson-comparison-nano-tx2-nx-xavier-nx-agx-orin\/\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeeed Nvidia Jetson Success Cases\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2023\/07\/Seeed_NVIDIA_Jetson_Success_Cases_and_Examples.pdf\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeeed Jetson One Pager\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-Jetson-one-pager.pdf\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFlash BSP for Jetson\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/wiki.seeedstudio.com\/flash\/jetpack_to_selected_product\/\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003ePart List\u003cbr\u003e\n\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003eItems\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cb\u003eQuantity\u003c\/b\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eJetson Orin™ NX 16GB module\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeeed Carrier Board (reComputer Robotics J401) with GMSL Extension\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e128GB NVMe SSD\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAluminum Case and Heatsink with Fan\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB Cable (Type-A to Type-C)\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eXT30 to DC Cable\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUser Manual\u003c\/td\u003e\n\u003ctd\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"Default Title","offer_id":45787843166291,"sku":"ROBO190","price":153749.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/1-100001302_recomputer_robotics_j3011_with_gmsl_extension_dcb7cfe7-4a6f-4a69-a010-9343f08b515b.webp?v=1783316567"},{"product_id":"jetson-agx-xavier-industrial-box-pc-dsbox-xv2","title":"Jetson AGX Xavier Industrial Box PC - DSBOX-XV2","description":"\u003ch2\u003eIndustrial Grade Box PC for \u003cspan\u003eNVIDIA Jetson AGX Xavier™ \u003c\/span\u003e\n\u003c\/h2\u003e\n\u003ch3\u003eFor supercomputer level edge Edge AI applications\u003c\/h3\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e\u003cb\u003e\u003cstrong\u003eTOP PERFORMANCE ON AI DEPLOYMENTS\u003c\/strong\u003e\u003c\/b\u003e\u003c\/h2\u003e\n\u003cp\u003eDSBOX-XV2 is a powerful edge computing device designed for industrial applications that require high processing power and reliability. It is powered by the NVIDIA Jetson AGX Xavier™ module, which features an NVIDIA Volta™ GPU with 512 CUDA cores and an eight-core ARM64 CPU. This provides DSBOX-XV2 the processing power required for complex industrial applications such as machine learning, computer vision, and AI.\u003c\/p\u003e\n\u003cp\u003eDSBOX-XV2 is a high-performance industrial level carrier board for NVIDIA Jetson AGX Xavier™ processor. It’s ideal size and supercomputer level performance with 32 TOPs enables a wide range of applications, from deep learning algorithms to autonomous machines. Jetson AGX Xavier™ can encode up to 8 4K streams and decode 12 4K streams.\u003c\/p\u003e\n\u003ch2\u003e\u003cb\u003e\u003cstrong\u003e \u003c\/strong\u003e\u003c\/b\u003e\u003c\/h2\u003e\n\u003ch2\u003e\n\u003cb\u003e\u003cstrong\u003eUTILIZATION WITH MAXIMUM SPEED\u003c\/strong\u003e\u003c\/b\u003e\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp\u003eThe device features Gigabit Ethernet for high-speed wired networking, as well as two USB3.1 Type-A ports for fast data transfer. In addition, it comes with CAN Bus and RS232\/422\/485 interfaces, which can be software-configured to suit different applications. For additional flexibility, the DSBOX-XV2 also includes two digital inputs and three digital outputs, making it easy to integrate with other industrial systems. It also features Type-C ports for debugging and recovery purposes, as well as an HDMI 2.0 port that supports resolutions up to 3840x2160, providing high-quality graphics output.\u003c\/p\u003e\n\u003cp\u003eFurthermore, the device includes an M.2 Key-E socket and a MicroSD slot for extension, enabling users to add extra connectivity options as needed. And with an M.2 Key-M SSD slot, the DSBOX-XV2 can be configured with high-speed solid-state storage for fast data access and transfer. DSBOX-XV2 offers a comprehensive range of connectivity and interface options, making it a versatile and flexible industrial edge computing device. Its wide range of interfaces, digital inputs and outputs, and support for expansion options, make it the ideal choice for abroad range of industrial applications.\u003c\/p\u003e\n\u003ch2\u003e\u003cb\u003e\u003cstrong\u003e \u003c\/strong\u003e\u003c\/b\u003e\u003c\/h2\u003e\n\u003ch2\u003e\u003cb\u003e\u003cstrong\u003eALWAYS READY TO USE\u003c\/strong\u003e\u003c\/b\u003e\u003c\/h2\u003e\n\u003cp\u003eThe DSBOX-XV2 is designed to operate reliably in a wide range of ambient conditions, with a temperature range of -25°C to +85°C. This makes it an ideal choice for use in industrial environments where temperatures can vary widely. Whether you're working in extreme heat or cold, the DSBOX-XV2 is built to handle it all, providing reliable and powerful computing performance regardless of the environment.\u003c\/p\u003e\n\u003cp\u003eIn addition to its rugged design and wide operating temperature range, the DSBOX-XV2 also features a compact form factor that makes it easy to install and use in a variety of industrial settings. With dimensions of 160 mm x 110 mm x 95 mm and a weight of 1340 grams, the device is both lightweight and easy to handle. Its small size also means that it can be easily integrated into existing industrial systems, providing powerful computing performance without taking up too much space.\u003c\/p\u003e\n\u003ch2\u003e\u003cb\u003e\u003cstrong\u003e \u003c\/strong\u003e\u003c\/b\u003e\u003c\/h2\u003e\n\u003ch2\u003e\u003cb\u003e\u003cstrong\u003eVERSATILE EDGE COMPUTING\u003c\/strong\u003e\u003c\/b\u003e\u003c\/h2\u003e\n\u003cp\u003eDSBOX-XV2 is designed to operate with a wide range of power supplies, with a voltage input range of 18-30 VDC. This means that it can operate in a variety of industrial environments, even in situations where power may be unreliable or fluctuating. With its robust design and support for a wide range of power inputs, the DSBOX-XV2 is a reliable and powerful computing device that is well-suited for use in harsh industrial environments.\u003c\/p\u003e\n\u003cp\u003eOverall, the DSBOX-XV2 is a powerful and versatile edge computing device that offers a wide range of connectivity and power options. With support for wireless communication and a wide voltage input range, it is a reliable and flexible solution for a wide range of industrial applications. Whether you're looking to enhance your manufacturing processes, improve transportation safety, or streamline energy management, the DSBOX-XV2 is the perfect solution for your industrial computing needs.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eResources\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/hs.forecr.io\/hubfs\/DATASHEETS\/dsbox-xv2-datasheet-v1.0.pdf\" target=\"_blank\"\u003eDatasheet\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/github.com\/mistelektronik\/forecr_3d_models\/tree\/master\/DSBOX-XV2\" target=\"_blank\"\u003e3D Model\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.forecr.io\/blogs\/installation\/jetpack-5-1-installation-for-dsboard-xv2\" target=\"_blank\"\u003eInstallation\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003ca href=\"https:\/\/www.forecr.io\/products\/jetson-agx-xavier-industrial-box-pc-dsbox-xv2\" target=\"_blank\"\u003eGetting Started Guide\u003c\/a\u003e \u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.forecr.io\/products\/jetson-agx-xavier-industrial-box-pc-dsbox-xv2#r-1619367341383\" target=\"_blank\"\u003eTechnical Specifications\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e \u003c\/h2\u003e\n\u003ch2\u003eTechnical Specifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003e\u003cstrong\u003eSupported Modules\u003c\/strong\u003e\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e\n\u003cp\u003eNVIDIA Jetson AGX Xavier 32GB\u003c\/p\u003e\n\u003cp\u003eNVIDIA Jetson AGX Xavier 64GB\u003c\/p\u003e\n\u003cp\u003eNVIDIA Jetson AGX Xavier Industrial 32GB\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e32 \/ 64 GB 256-bit LPDDR4x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003e\u003cstrong\u003eGraphics Interfaces\u003c\/strong\u003e\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e1x HDMI 2.0 (max resolution 3840x2160)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003e\u003cstrong\u003eInterfaces\u003c\/strong\u003e\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e\n\u003cp\u003e1x Gigabit Ethernet \u003c\/p\u003e\n\u003cp\u003e2x USB 3.1 Type-A\u003c\/p\u003e\n\u003cp\u003e1x CAN Bus \u003c\/p\u003e\n\u003cp\u003e1x RS232\/422\/485 (software configurable)\u003c\/p\u003e\n\u003cp\u003e2x Type-C (Debug\/Recovery)\u003c\/p\u003e\n\u003cp\u003e2x Digital Input, 3x Digital Output \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003e\u003cstrong\u003eWireless Communication\u003c\/strong\u003e\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003eWiFi\/Bluetooth Connectivity by extension sockets\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003e\u003cstrong\u003ePower Supply\u003c\/strong\u003e\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e18-30 VDC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003e\u003cstrong\u003eExtension Sockets\u003c\/strong\u003e\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Key-E, 1x MicroSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003e\u003cstrong\u003eMass Storage\u003c\/strong\u003e\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e\n\u003cp\u003e32 \/ 64 GB eMMC 5.1 Flash \u003c\/p\u003e\n\u003cp\u003e1x M.2 Key-M SSD Slot\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003e\u003cstrong\u003eAmbient Conditions\u003c\/strong\u003e\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e-25°C … +85°C \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003e\u003cstrong\u003eForm Factor \/ Dimensions\u003c\/strong\u003e\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e160 mm x 110 X 95 mm, 1340 gr \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003e\u003cstrong\u003eOperating Systems\u003c\/strong\u003e\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003eUbuntu Linux 18.04 \/ 20.04\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cb\u003e\u003cstrong\u003eJetPack Support\u003c\/strong\u003e\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd\u003e\n\u003cp\u003eJetPack 4.x (4.4.1 \/ 4.5 \/ 4.5.1 \/ 4.6 \/ 4.6.1 \/ 4.6.2 \/ 4.6.3)\u003c\/p\u003e\n\u003cp\u003eJetPack 5.x (5.0.2 \/ 5.1)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"Roboi","offers":[{"title":"Default Title","offer_id":45787846508627,"sku":"ROBO191","price":186999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/dsbox-xv2-4.webp?v=1783317529"},{"product_id":"nvidia-jetson-orin-super-nano-deployment-kit-made-in-india","title":"NVIDIA Jetson Orin Super Nano Deployment Kit - Made in India","description":"\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle hilitColor\"\u003eNVIDIA Jetson Orin™ Super Nano Deployment Kit - Made in India\u003c\/h2\u003e\n\u003ch4 class=\"hilitBlock2\"\u003e\u003cspan\u003ewith Waveshare Carrier Board\u003c\/span\u003e\u003c\/h4\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-NANO-4G-DEV-KIT\/JETSON-ORIN-NANO-4G-DEV-KIT-details-1.jpg\"\u003e\n\u003ch2 class=\"richTitle hilitColor\"\u003e\n\u003cspan\u003e\u003c\/span\u003e\u003cbr\u003e\n\u003c\/h2\u003e\n\u003ch2 class=\"richTitle hilitColor\"\u003e\n\u003cspan\u003eBased On Jetson Orin Nano Module\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003eAI Edge Computing Development Kit\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\"\u003eThis Is Not The N-VIDIA Official Developer Kit\u003c\/h4\u003e\n\u003cp class=\"alignl pdTRBL\"\u003eThis kit includes the Orin Nano Module with options for\u003cspan class=\"hilitColor\"\u003e\u003cspan\u003e \u003c\/span\u003e4GB\/8GB memory\u003c\/span\u003e, no built-in storage module, provides up to 20 TOPS\/67 TOPS AI Performance. Comes with\u003cspan\u003e \u003c\/span\u003e\u003cspan class=\"hilitColor\"\u003epreinstalled 256GB NVMe Solid State Drive\u003c\/span\u003e, high-speed reading\/writing, meet the needs of large AI project development.\u003c\/p\u003e\n\u003cbr\u003eThis kit also comes with a pre-installed AW-CB375NF wireless network card that supports Bluetooth 5.0 and dual-band WIFI, with two additional PCB antennas, for providing high-speed and reliable wireless network connection and Bluetooth communication.\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/JETSON-ORIN-NANO-4G-DEV-KIT-details-7.jpg?v=1771656799\" alt=\"\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"pdTRBL\"\u003e\n\u003cdiv\u003e\n\u003cp class=\"alignl pdTRBL\"\u003e \u003c\/p\u003e\n\u003ch2 class=\"alignl pdTRBL\"\u003e\u003cstrong class=\"hilitColor\"\u003eJETSON-ORIN-NANO-DEV-KIT\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cp class=\"alignl pdTRBL\"\u003eIncludes Jetson Orin Nano Module (options for 4GB\/8GB), JETSON-ORIN-IO-BASE base board, Cooling Fan, 256GB\/128GB NVMe Solid State Drive, AW-CB375NF dual-band wireless network card, USB cable, Ethernet cable, Power supply, etc.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/JETSON-ORIN-NANO-4G-DEV-KIT_3c62a9a4-1a21-42bb-a689-b6ad4d51b37d.jpg?v=1735817819\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch1\u003e\u003cstrong class=\"hilitColor\"\u003e \u003c\/strong\u003e\u003c\/h1\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle hilitColor\"\u003eJetson Orin Nano Specification\u003c\/h2\u003e\n\u003ctable class=\"tabSty-2 subBlock alignc mgnTB\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eMODULE\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e\u003cstrong class=\"hilitColor\"\u003e4GB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"3\"\u003e\u003cstrong class=\"hilitColor\"\u003e8GB\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eVERSION\u003c\/th\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-orin-nano.htm?sku=24432\" target=\"_blank\"\u003e4GB Jetson Orin Nano Module\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-orin-nano-dev-kit.htm?sku=24499\" target=\"_blank\"\u003eWaveshare Kit\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-orin-nano.htm?sku=24433\" target=\"_blank\"\u003e8GB Jetson Orin Nano Module\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-orin-nano-dev-kit.htm?sku=24505\" target=\"_blank\"\u003eWaveshare Kit\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-orin-nano-developer-kit.htm\" target=\"_blank\"\u003eOfficial Kit\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eAI PERFORMANCE\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e20TOPS\u003c\/td\u003e\n\u003ctd colspan=\"3\"\u003e40TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eGPU\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e512-core N-VIDIA Ampere architecture GPU with 16 Tensor Cores\u003c\/td\u003e\n\u003ctd colspan=\"3\"\u003e1024-core N-VIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eGPU FREQUENCY\u003c\/th\u003e\n\u003ctd colspan=\"5\"\u003e625MHz (Max)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eCPU\u003c\/th\u003e\n\u003ctd colspan=\"5\"\u003e6-core Arm® Cortex®-A78AE v8.2 64-bit CPU, 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eCPU FREQUENCY\u003c\/th\u003e\n\u003ctd colspan=\"5\"\u003e1.5GHz (Max)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eMEMORY\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e4GB 64-bit LPDDR5, 32GB\/s\u003c\/td\u003e\n\u003ctd colspan=\"3\"\u003e8GB 128-bit LPDDR5, 68GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eSTORAGE\u003c\/th\u003e\n\u003ctd\u003eSupports external NVMe\u003c\/td\u003e\n\u003ctd\u003e128GB NVMe Solid State Drive\u003c\/td\u003e\n\u003ctd\u003eSupports external NVMe\u003c\/td\u003e\n\u003ctd\u003e128GB NVMe Solid State Drive\u003c\/td\u003e\n\u003ctd\u003eTF card slot \u0026amp; external NVMe via M.2 Key M\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003ePOWER\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e7W ~ 10W\u003c\/td\u003e\n\u003ctd colspan=\"3\"\u003e7W ~ 15W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003ePCIE*\u003c\/th\u003e\n\u003ctd\u003e1 x4 + 3 x1 (PCIe 3.0, Root Port \u0026amp; Endpoint)\u003c\/td\u003e\n\u003ctd\u003eM.2 Key M slot with x4 PCIe Gen3\/\u003cbr\u003eM.2 Key M slot with x2 PCIe Gen3\/\u003cbr\u003eM.2 Key E slot\u003c\/td\u003e\n\u003ctd\u003e1 x4 + 3 x1 (PCIe 4.0, Root Port \u0026amp; Endpoint)\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eM.2 Key M slot with x4 PCIe Gen3\/\u003cbr\u003eM.2 Key M slot with x2 PCIe Gen3\/\u003cbr\u003eM.2 Key E slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eUSB*\u003c\/th\u003e\n\u003ctd\u003e3x USB 3.2 2.0 (10 Gbps)\u003cbr\u003e3x USB 2.0\u003c\/td\u003e\n\u003ctd\u003eUSB Type-A: 4x USB 3.2 Gen2\/ USB Type-C (UFP)\u003c\/td\u003e\n\u003ctd\u003e3x USB 3.2 2.0 (10 Gbps)\u003cbr\u003e3x USB 2.0\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eUSB Type-A: 4x USB 3.2 Gen2\/\u003cbr\u003eUSB Type-C (UFP)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eCSI CAMERA\u003c\/th\u003e\n\u003ctd\u003eUp to 4 cameras (8 via virtual channels**)\/\u003cbr\u003e8 lanes MIPI CSI-2\/ D-PHY 1.2 (up to 20 Gbps)\u003c\/td\u003e\n\u003ctd\u003e2x MIPI CSI-2 Camera Connector\u003c\/td\u003e\n\u003ctd\u003eUp to 4 cameras (8 via virtual channels**)\/\u003cbr\u003e8 lanes MIPI CSI-2\/ D-PHY 1.2 (up to 20 Gbps)\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e2x MIPI CSI-2 Camera Connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eVIDEO ENCODE\u003c\/th\u003e\n\u003ctd colspan=\"5\"\u003e1080p30 supported by 1-2 CPU cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eVIDEO DECODE\u003c\/th\u003e\n\u003ctd colspan=\"5\"\u003e1x 4K60 (H.265)\u003cbr\u003e2x 4K30 (H.265)\u003cbr\u003e5x 1080p60 (H.265)\u003cbr\u003e11x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eDISPLAY\u003c\/th\u003e\n\u003ctd\u003e1x 8K30 multi-mode DP 1.4a (+MST)\/\u003cbr\u003eeDP 1.4a\/HDMI 2.1\u003c\/td\u003e\n\u003ctd\u003e1x DisplayPort 1.2 (+MST) connector\u003c\/td\u003e\n\u003ctd\u003e1x 8K30 multi-mode DP 1.4a (+MST)\/\u003cbr\u003eeDP 1.4a\/HDMI 2.1\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1x DisplayPort 1.2 (+MST) connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eOTHER\u003c\/th\u003e\n\u003ctd\u003e3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC \u0026amp; DSPK, PWM, GPIO\u003c\/td\u003e\n\u003ctd\u003e40-Pin Expansion Header(UART, SPI, I2S, I2C, GPIO), 12-pin button header, 4-pin fan header, DC power jack\u003c\/td\u003e\n\u003ctd\u003e3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC \u0026amp; DSPK, PWM, GPIO\u003c\/td\u003e\n\u003ctd\u003e40-Pin Expansion Header(UART, SPI, I2S, I2C, GPIO), 12-pin button header, 4-pin fan header, DC power jack\u003c\/td\u003e\n\u003ctd\u003e40-Pin Expansion Header(UART, SPI, I2S, I2C, GPIO), 12-pin button header, 4-pin fan header, TF card slot, DC power jack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eNETWORKING\u003c\/th\u003e\n\u003ctd\u003e1x GbE\u003c\/td\u003e\n\u003ctd\u003e1x GbE Connector\u003c\/td\u003e\n\u003ctd\u003e1x GbE\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1x GbE Connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eDIMENSIONS\u003c\/th\u003e\n\u003ctd\u003e69.6 mm x 45 mm\u003cbr\u003e260-pin SO-DIMM connector\u003c\/td\u003e\n\u003ctd\u003e103 × 90.5 × 34mm\u003c\/td\u003e\n\u003ctd\u003e69.6 mm x 45 mm\u003cbr\u003e260-pin SO-DIMM connector\u003c\/td\u003e\n\u003ctd\u003e103 × 90.5 × 34mm\u003c\/td\u003e\n\u003ctd\u003e100 mm x 79 mmx 21 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"alignl\" colspan=\"6\"\u003e* USB 3.2, MGBE, and PCIe share UPHY Lanes. See the Product Design Guide for supported UPHY configurations.\u003cbr\u003e** Virtual Channels for Jetson Orin Nano are subject to change\u003cbr\u003eRefer to the Software Features section of the latest NVIDIA Jetson Linux Developer Guide for a list of supported features.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003ch1\u003e \u003c\/h1\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle hilitColor\"\u003eOnboard Resources\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-NANO-4G-DEV-KIT\/JETSON-ORIN-NANO-4G-DEV-KIT-details-9.jpg\"\u003e\n\u003c\/div\u003e\n\u003ch1\u003e \u003c\/h1\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle\"\u003eProfessional Application Software And Models\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-NANO-4G-DEV-KIT\/JETSON-ORIN-NANO-4G-DEV-KIT-details-11.jpg\"\u003e\n\u003cp class=\"alignl pdTRBL\"\u003e\u003cstrong\u003eN-VIDIA Software\u003c\/strong\u003e\u003cbr\u003eAll N-VIDIA Jetson modules and developer kits are supported by the same N-VIDIA Jetson software stack, so you can develop once and deploy everywhere. Jetson software is designed to provide end-to-end acceleration for AI applications and accelerate the time to market. This brings the powerful N-VIDIA technologies that power data centers and cloud deployments to the edge.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-NANO-4G-DEV-KIT\/JETSON-ORIN-NANO-4G-DEV-KIT-details-13.jpg\"\u003e\n\u003cp class=\"alignl pdTRBL\"\u003e\u003cstrong\u003ePretrained Models\u003c\/strong\u003e\u003cbr\u003eMany AI applications have common needs: classification, object detection, language translation, text-to-speech, recommender engines, sentiment analysis, and more. Pretrained models from the NGC™ catalog are performance-optimized and ready to be fine-tuned with the N-VIDIA TAO Toolkit and customer datasets, reducing time and cost for production AI software development.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp class=\"pdT\"\u003e \u003c\/p\u003e\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003eN-VIDIA Platforms For Robotics, AI Speech, And Smart Cities\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003eN-VIDIA Software Platforms Including Isaac For Robotics, Riva For AI Speech, And Metropolis For Video Analytics, Are Available To Speed Vertical-Specific Applications\u003c\/p\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-NANO-4G-DEV-KIT\/JETSON-ORIN-NANO-4G-DEV-KIT-details-15.jpg\"\u003e\n\u003cp class=\"alignl pdTRBL\"\u003e\u003cstrong\u003eN-VIDIA Isaac\u003c\/strong\u003e\u003cbr\u003eRobots improve efficiency and quality of life in industries such as manufacturing, logistics, healthcare, and service. N-VIDIA Isaac™ accelerates the process with enhanced robotics development, simulation, and deployment.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-NANO-4G-DEV-KIT\/JETSON-ORIN-NANO-4G-DEV-KIT-details-17.jpg\"\u003e\n\u003cp class=\"alignl pdTRBL\"\u003e\u003cstrong\u003eN-VIDIA Riva\u003c\/strong\u003e\u003cbr\u003eN-VIDIA Riva is a fully accelerated SDK for building multimodal conversational AI applications using an end-to-end deep-learning pipeline, suitable for optimized skills in speech, vision, and natural language processing (NLP) tasks.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-NANO-4G-DEV-KIT\/JETSON-ORIN-NANO-4G-DEV-KIT-details-19.jpg\"\u003e\n\u003cp class=\"alignl pdTRBL\"\u003e\u003cstrong\u003eN-VIDIA Metropolis\u003c\/strong\u003e\u003cbr\u003eN-VIDIA Metropolis includes an application framework, s set of developer tools, and the partner ecosystem. It brings visual data and AI together to improve operational efficiency and safety across a broad range of industries.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003eProduct Show\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-NANO-4G-DEV-KIT\/JETSON-ORIN-NANO-4G-DEV-KIT-details-21.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003eOutline Dimensions\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-NANO-4G-DEV-KIT\/JETSON-ORIN-NANO-4G-DEV-KIT-details-size.jpg\"\u003e\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 class=\"richTitle\"\u003e Resources\u003c\/h2\u003e\n\u003cstrong\u003eWiki: \u003c\/strong\u003e\u003ca href=\"http:\/\/www.waveshare.com\/wiki\/Jetson_Orin_Nano\" id=\"tab-wiki\" target=\"_blank\"\u003ewww.waveshare.com\/wiki\/Jetson_Orin_Nano\u003c\/a\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 class=\"pdT\"\u003e Package Contents:\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eWeight:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e0.572 kg\u003c\/span\u003e\u003c\/p\u003e\n\u003cdiv class=\"std\"\u003e\n\u003col\u003e\n\u003cli\u003eWaveshare Orin Nano development kit:\n\u003col\u003e\n\u003cli\u003eJetson Orin Nano Module x1\u003c\/li\u003e\n\u003cli\u003eJETSON-ORIN-IO-BASE x1\u003c\/li\u003e\n\u003cli\u003eCooling Fan x1\u003c\/li\u003e\n\u003cli\u003e240GB NVMe Solid State Drive (assembled) x1\u003c\/li\u003e\n\u003cli\u003eWireless network card (assembled) x1\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/li\u003e\n\u003cli\u003ePower adapter x1\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"4GB \/ 3D Printed Plastic","offer_id":45787847229523,"sku":"ROBO192","price":51549.99,"currency_code":"INR","in_stock":true},{"title":"4GB \/ Aluminium","offer_id":45787847262291,"sku":"ROBO193","price":55749.99,"currency_code":"INR","in_stock":true},{"title":"8GB \/ 3D Printed Plastic","offer_id":45787847295059,"sku":"ROBO194","price":55299.99,"currency_code":"INR","in_stock":true},{"title":"8GB \/ Aluminium","offer_id":45787847327827,"sku":"ROBO195","price":59549.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/SBC1055-1.webp?v=1783318053"},{"product_id":"ackerman-metal-chassis-with-encoder-motors-and-front-steering-servo","title":"Ackerman Metal Chassis with Encoder Motors and Front Steering Servo","description":"\u003cp\u003e\u003ciframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/xZJOeIB30ZY?si=8jVht6WoVynST_eu\" height=\"315\" width=\"560\"\u003e\u003c\/iframe\u003e\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/65a37805a38a4b173d91151f310aefae.jpg?v=1701404227\" class=\"mainImg pc\"\u003e\u003c\/p\u003e\n\u003cdiv class=\"descItem\"\u003e\n\u003cp class=\"desc\"\u003eAckermann steering chassis is a standard structure widely used in the new energy vehicle market and is a popular choice in the field of autonomous driving. This Ackerman car chassis is an unmanned car chassis developed by Hiwonder for educational scenes. Its chassis adopts a forward Ackerman steering structure and the rear wheels travel with electronic differential, which can satisfy users' learning of Ackerman's special structure.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/1_5d52e475-10d4-4332-9821-79d944511d45.jpg?v=1701404227\"\u003e\n\u003ch3\u003eAckermann Steering Structure\u003c\/h3\u003e\n\u003cp\u003eThe Ackermann steering structure represents a standard configuration in modern vehicles. It ensures that the rear wheels remain parallel. During a turn, the inner wheel experiences a greater turning angle than the outer wheel, a design feature that defines the Ackermann steering structure.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/2_eff82a34-7a01-4045-84b3-4cdc33a94684.jpg?v=1701404227\"\u003e\n\u003ch3\u003eHigh-precision Steering Structure\u003c\/h3\u003e\n\u003cp\u003eThe steering structure incorporates high-precision components, accurate bearings, and offers exceptional accuracy and robust load-bearing capabilities. Equipped with a 17KG large-torque digital servo, it provides powerful steering, making it an ideal choice for autonomous driving research.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/3_068d6517-be68-418c-8384-f2943304ad8b.jpg?v=1701404227\"\u003e\n\u003ch3\u003eHigh-Performance DC Geared Motor\u003c\/h3\u003e\n\u003cp\u003eThe chassis is furnished with high-performance DC motors that include a high-accuracy encoder, a rated voltage of 12V, robust power, exceptional precision, and outstanding interference resistance.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/4_c6244179-6e7a-4c18-a0bc-1664c97f6b60.jpg?v=1701404228\"\u003e\n\u003ch3\u003eAluminum Alloy Body, Solid Rubber Tires\u003c\/h3\u003e\n\u003cp\u003eThe chassis adopts an all-metal aluminum alloy structure with anodized surface, which is beautiful and exquisite. The chassis adopts solid rubber tires, which have high friction and prevent slipping.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/11425300d3bcbc36aa2318f39c77fc9b_b1978dda-242d-4502-91f9-2f62372b80a7.jpg?v=1701402320\"\u003e\u003c\/td\u003e\n\u003ctd\u003e\n\u003ch3\u003eFeatures\u003c\/h3\u003e\n\u003cp class=\"a-spacing-base\"\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eThe chassis is equipped with high-performance DC reduction motor, high-quality rubber tires, LD-1501MG high-torque digital servo and other components.\u003c\/li\u003e\n\u003cli\u003eThe chassis adopts an all-metal aluminum alloy structure with anodized surface, which is beautiful and exquisite.\u003c\/li\u003e\n\u003cli\u003eThe chassis adopts a forward Ackerman steering structure and the rear wheels travel with electronic differential\u003c\/li\u003e\n\u003cli\u003eThe Ackermann steering car chassis can expand electronic systems such as STM32 to achieve more creativity.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/4dc394adf5828138a79aec1defbb8092.jpg?v=1701404466\" alt=\"\" style=\"margin-bottom: 16px; float: none;\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/f4b3da9554de4e60ffd11b8edcb16ff8_9fd2a2b4-d14b-4b69-9d9e-b3078e8aecf5.jpg?v=1702978163\" alt=\"\" style=\"margin-bottom: 16px; float: none;\"\u003e\u003c\/div\u003e\n\u003ch2 class=\"head\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"head\"\u003eControl Connection Diagram\u003c\/h2\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/2_e2711488-9e51-4871-a616-0242db8fcd34.jpg?v=1703059971\" alt=\"\" style=\"margin-bottom: 16px; float: none;\"\u003e\u003c\/div\u003e\n\u003ch2 class=\"lonely-head\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"lonely-head\"\u003eRaised-layer Metal Plate Size \u0026amp; Parameters\u003c\/h2\u003e\n\u003cdiv class=\"descItem\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/4cbd4e8e1017ef8f4706be0093d2e20c_de5764b1-d12a-49d3-9bb7-705281332c28.jpg?v=1701769292\"\u003e\n\u003cdiv class=\"imageItem pc\"\u003e\n\u003cdiv class=\"a-column a-span6\"\u003e\n\u003ctable class=\"a-bordered noBottomBorder\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\" colspan=\"4\"\u003e\u003cspan\u003eParameters\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"bgcl\"\u003e\u003cspan\u003eMaterial\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eAluminum alloy\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left bgcl\"\u003e\u003cspan\u003eDial length\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e270mm\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"bgcl\"\u003e\u003cspan\u003eThickness\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e2mm\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left bgcl\"\u003e\u003cspan\u003eWeight\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e126g\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"bgcl\"\u003e\u003cspan\u003eChassis width\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e120.5mm\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left bgcl\"\u003e\u003cspan\u003eChassis color\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eBlack\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/bffb8cbd5eb089aa42190226b65cba47_a6ac95e8-bf9d-477c-899c-82c862cd0279.jpg?v=1702976676\"\u003e\n\u003cdiv class=\"a-column a-span6\"\u003e\n\u003ctable class=\"a-bordered noBottomBorder\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\" colspan=\"4\"\u003e\u003cstrong\u003eEncoder Geared Motor\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"bgcl\"\u003e\u003cspan\u003eRated voltage\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e12V\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left bgcl\"\u003e\u003cspan\u003eRated power\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003eabout 8.3W\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"bgcl\"\u003e\u003cspan\u003eMotor type\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003epermanent magnet brushed\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left bgcl\"\u003e\u003cspan\u003eStall current\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e3.2A\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"bgcl\"\u003e\u003cspan\u003eStall torque\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e15kg.cm\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left bgcl\"\u003e\u003cspan\u003eRated current\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e0.36A\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"bgcl\"\u003e\u003cspan\u003eLocked torque\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e2.6kg.cm\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left bgcl\"\u003e\u003cspan\u003eGear ratio\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e1:90\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"bgcl\"\u003e\u003cspan\u003eNo-Load speed\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e110rpm\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left bgcl\"\u003e\u003cspan\u003eRated speed\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd 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class=\"td-br-left\"\u003e\u003cspan\u003e2.4~3A\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"bgcl\"\u003e\u003cspan\u003eSize\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e40*20*40.5mm\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left bgcl\"\u003e\u003cspan\u003eServo precision\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e0.3°\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"bgcl\"\u003e\u003cspan\u003eWorking voltage\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e6-8.4V\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left bgcl\"\u003e\u003cspan\u003eControl method\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003ePWM pulse width control\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"bgcl\"\u003e\u003cspan\u003eRotation speed\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e0.16sec\/60°7.4V\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left bgcl\"\u003e\u003cspan\u003eGear type\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003emetal teeth\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"bgcl\"\u003e\u003cspan\u003eStalling torque\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e13kg.cm 6V; 15kg.cm 6.5V; 17kg.cm 7.4V\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left bgcl\"\u003e\u003cspan\u003ePWM pulse width range\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e500~2500us, corresponding to 0~180°\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"bgcl\"\u003e\u003cspan\u003eRotation range\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e0~180°\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left bgcl\"\u003e\u003cspan\u003eLine length\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e300mm\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"bgcl\"\u003e\u003cspan\u003eNo-load current\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003e100mA\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left bgcl\"\u003e\u003cspan\u003eApply to\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"td-br-left\"\u003e\u003cspan\u003ediverse bionic robot joints\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"Roboi","offers":[{"title":"Default Title","offer_id":45787848048723,"sku":"ROBO196","price":6499.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/1_1_be4594b4-fa95-4fb4-bea3-f6d23ac7d03b_jpg.webp?v=1783318678"},{"product_id":"jetbot-professional-version-ros-ai-kit-dual-controllers-ai-robot-lidar-mapping-vision-processing","title":"JetBot Professional Version ROS AI Kit, Dual Controllers AI Robot, Lidar Mapping, Vision Processing","description":"\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle\"\u003eJetBot ROS AI Robot\u003c\/h2\u003e\n\u003ch2 class=\"richDesc hilitBlock2 round1234\"\u003eNVIDIA Official Partner Product\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\"\u003e\u003cstrong\u003eJetBot AI Kit Professional Version\u003c\/strong\u003e\u003c\/h4\u003e\n\u003cp\u003eThis is a high-performance AI Jetbot for people who learn and develop the ROS system. It adopts the ROS system and two controllers: the microcontroller of Raspberry Pi RP2040 and the AI host controller of JETSON-NANO-DEV- KIT-A. As the expansion board integrates OLED, servo motor drive circuit, battery protection circuit, the audio output circuit and so on, you do not need to weld the circuit. It can be charged without unloading, so you do not need to remove the batteries repeatedly. It features the built-in IMU posture sensor, and the DC encoder motor controls the rotating speed through PID, which can output wheel odometry data. In terms of the software, it is compatible with NVIDIA JetBot open source project program, supports AI deep learning, SLAM mapping and navigation, OpenCV visual processing, intelligent voice interaction, etc.\u003c\/p\u003e\n\u003ch2\u003e\u003cspan class=\"mw-headline\" id=\"Features\"\u003eFeatures\u003c\/span\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eOnboard 3 x 2600mah 18650 batteries, its voltage output is up to 12.6V with stronger motor power.\u003c\/li\u003e\n\u003cli\u003eOnboard S-8254AA + AO4407A lithium battery protection circuit, it can prevent overcharge, over-discharge, overcurrent, and has short circuit protection.\u003c\/li\u003e\n\u003cli\u003eThe onboard INA219 is convenient for real-time monitoring of battery voltage and charging current.\u003c\/li\u003e\n\u003cli\u003eWith 0.91-inch 128 × 32 resolution OLED, it can display real-time data from the car, such as IP address, memory, battery power, etc.\u003c\/li\u003e\n\u003cli\u003eFeatured MPU9250 IMU posture sensor, the direction of the robot can be accurately judged.\u003c\/li\u003e\n\u003cli\u003eWith the coded DC gear motor, it supports PID debugging and outputs wheel odometry data.\u003c\/li\u003e\n\u003cli\u003eWith Raspberry Pi RP2040 dual-core micro-controller, it has better real-time performance and higher accuracy in control.\u003c\/li\u003e\n\u003cli\u003eAdopting the ROS system and a series of visual software, it can be developed more.\u003c\/li\u003e\n\u003cli\u003eSupport I2C slave mode control, it is fully compatible with NVIDIA JetBot open source project program without porting and is easy to achieve AI functions such as obstacle avoidance and autonomous line tracking.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 class=\"richTitle\"\u003eResources\u003c\/h2\u003e\n\u003cdiv class=\"bgGrey\"\u003e\n\u003cstrong\u003eWiki:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca href=\"http:\/\/www.waveshare.com\/wiki\/JetBot_ROS_AI_Kit\" target=\"_blank\"\u003ewww.waveshare.com\/wiki\/JetBot_ROS_AI_Kit\u003c\/a\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bgGrey\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-1.jpg\"\u003e\n\u003cp class=\"alignl pdTRBL\"\u003eIt meets the needs of scientific research algorithm verification in various fields such as Lidar mapping, autonomous navigation, autonomous self driving, intelligent speech, target detection, face recognition, etc. It is not only compatible with the NVIDIA Jetbot open-source project program, but also is overall upgraded in hardware with better performance\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-3.jpg\"\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cdiv\u003e\n\u003ctable align=\"center\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth width=\"33%\"\u003e\u003c\/th\u003e\n\u003cth width=\"33%\"\u003e\u003ca href=\"https:\/\/thinkrobotics.in\/products\/waveshare-jetbot-ai-robot-kit?_pos=5\u0026amp;_sid=2eafdd3a3\u0026amp;_ss=r\" title=\"AI Jetbot Kit\" target=\"_blank\"\u003e\u003cstrong\u003eJETBOT AI KIT\u003c\/strong\u003e\u003c\/a\u003e\u003c\/th\u003e\n\u003cth width=\"34%\"\u003e\u003cstrong class=\"hilitColor\"\u003eJETBOT ROS KIT\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eAPPEARANCE\u003c\/strong\u003e\u003c\/th\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/JetBot-AI-Kit.htm\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-AI-Kit\/JetBot-AI-Kit-3_160.jpg\"\u003e\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/jetbot-ros-ai-kit-1_1_160x160.jpg?v=1665256966\"\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eMICROCONTROLLER\u003c\/strong\u003e\u003c\/th\u003e\n\u003ctd\u003eN\/A\u003c\/td\u003e\n\u003ctd class=\"hilitColor\"\u003eRaspberry Pi RP2040 Chip\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eMOTOR\u003c\/strong\u003e\u003c\/th\u003e\n\u003ctd\u003eTT motor\u003cbr\u003eReduction rate 1:48\u003cbr\u003eIdle speed 240RPM\u003c\/td\u003e\n\u003ctd class=\"hilitColor\"\u003e37-520 Metal Encoder Motor\u003cbr\u003eReduction Rate 1:30\u003cbr\u003eIdle Speed 333RPM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eMOTOR ENCODER\u003c\/strong\u003e\u003c\/th\u003e\n\u003ctd\u003eN\/A\u003c\/td\u003e\n\u003ctd class=\"hilitColor\"\u003e11 wire AB phase hall speed sensor, supports wheel odometry\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eIMU SENSOR\u003c\/strong\u003e\u003c\/th\u003e\n\u003ctd\u003eN\/A\u003c\/td\u003e\n\u003ctd class=\"hilitColor\"\u003eMPU9250\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eLIDAR\u003c\/strong\u003e\u003c\/th\u003e\n\u003ctd\u003eN\/A\u003c\/td\u003e\n\u003ctd class=\"hilitColor\"\u003eRPLIDAR A1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eAUDIO INTERFACE\u003c\/strong\u003e\u003c\/th\u003e\n\u003ctd\u003eN\/A\u003c\/td\u003e\n\u003ctd class=\"hilitColor\"\u003eDouble Speakers, Dual Microphones, Support Intelligent speech\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eMAPPING NAVIGATION\u003c\/strong\u003e\u003c\/th\u003e\n\u003ctd\u003eNot Support\u003c\/td\u003e\n\u003ctd class=\"hilitColor\"\u003eSupport\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle\"\u003eIntelligent Dual-Controller Design\u003c\/h2\u003e\n\u003cp class=\"alignl pdTRBL\"\u003eThe host controller adopts Waveshare Jetson Nano Kit, which is equipped with Jetson Nano Module 16GB eMMC version, 4GB memory and has better performance. This controller is responsible for Artificial Intelligence (AI), speech processing, visual processing, mapping and navigation, etc.\u003cbr\u003eThe sub-controller uses the Raspberry Pi RP2040 dual-core microcontroller, which has better real-time performance and higher control accuracy, and is responsible for attitude data collection and motion control.\u003c\/p\u003e\n\u003ch4 class=\"richDesc hilitBlock2 round1234\"\u003e\u003cspan\u003eAdopting USB Communication, Transmission Speed Faster Than The UART\u003c\/span\u003e\u003c\/h4\u003e\n\u003cspan\u003e \u003c\/span\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-9.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003eDeveloped Based On ROS\u003c\/h2\u003e\n\u003cp class=\"alignl pdTRBL\"\u003eROS (Robot Operation System) is an open-source operating system that includes a collection of software libraries and tools for robot design. It provides the services expected of an operating system, including hardware abstraction, bottom layer device control, implementation of common functions, message transfering between processes, and package management. ROS simplifies robot design and is the mainstream robot software framework in the world.\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-21.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle\"\u003eSupport I2C Slave Mode Control\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\"\u003e\u003cspan\u003e\u003cstrong\u003eCompletely Compatible With Original JetBot Demo\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp class=\"richDesc\"\u003eThe Expansion Board Supports I2C Slave Mode Control Without Porting And Completely Compatible With NVIDIA JetBot Open-Source Project Program, Easily Realizing AI Functions Such As Obstacle Avoidance And Auto Line Tracking.\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-22.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003eSLAM Lidar Mapping\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003eMapping With Odometer, IMU, Lidar, EKF, Etc.\u003cbr\u003eSupports Gmapping, Hector, Karto, And Cartographer Mapping Algorithms\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-23.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003ePath Planning, Autonomous Navigation,\u003cbr\u003eDynamic Obstacle Avoidance\u003c\/h2\u003e\n\u003ch2 class=\"hilitBlock2 round1234\"\u003e\u003cspan\u003eAdaptive Monte Carlo Localization (AMCL) | Move_base Autonomous Navigation\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003eSupports Single-Point Navigation, Multi-Point Patrol Navigation, And Mapping While Navigating\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-25-1.jpg\"\u003e\n\u003cp class=\"alignl pdTRBL\"\u003e\u003cstrong class=\"hilitColor\"\u003eSingle-point Navigation\u003c\/strong\u003e\u003cbr\u003eAfter publishing the navigation target position, the robot will automatically plan the path to navigate to the target position.\u003c\/p\u003e\n\u003cbr\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-25-2.jpg\"\u003e\n\u003cp class=\"alignl pdTRBL\"\u003e\u003cstrong class=\"hilitColor\"\u003eMultipoint Patrol Navigation\u003c\/strong\u003e\u003cbr\u003eAdd navigation dots, the robot will cruise and navigate between the navigation dots.\u003c\/p\u003e\n\u003cbr\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-25-3.jpg\"\u003e\n\u003ch2 class=\"alignl pdTRBL\"\u003e\n\u003cstrong class=\"hilitColor\"\u003e\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/h2\u003e\n\u003ch2 class=\"alignl pdTRBL\"\u003e\u003cstrong class=\"hilitColor\"\u003eMapping while navigating\u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch4 class=\"alignl pdTRBL\"\u003e\u003cspan\u003eAfter publishing the navigation target position, the robot will automatically explore the path to the target point, and publish it while scanning the map.\u003c\/span\u003e\u003c\/h4\u003e\n\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch4 class=\"richTitle\"\u003eOpenCV Vision Processing\u003c\/h4\u003e\n\u003ch4 class=\"richDesc\"\u003eIntegrates OpenCV Vision Library, With Extensive Algorithm Demos\u003c\/h4\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-27-1.jpg\"\u003e\u003cspan\u003e \u003c\/span\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-27-2.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003eIntelligent Speech Processing, Human-Robot Speech Interaction\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003eSupports Remote Speech Intercom, Speech Synthesis, Speech Detection, Speech Recognition, Human-Computer Speech Interaction\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-29-1.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003eReal-Time Remote Speech Transmission, Allowing Robots To Deliver Conversations\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003eReal-Time Speech Transmission Between The Computer And The Robot, Enables Two-Way Remote Communication\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-29-2.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003eSpeech Synthesis Playback, Let The Robot Speak\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003eConvert Text To Natural, Smooth Vocals And Play\u003cbr\u003eSend A Text Topic To The Robot, And You Can Hear It Talking\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-29-3.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003eSpeech Detection To Let The Robot Know I'm Speaking\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003eDetects The Sound Of The Audio Stream And Removes The Mute Part\u003cbr\u003eOnly Take The Part That The Person Speaks\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-29-4.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003eSpeech Recognition, Let The Robot Understand What I Say\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\"\u003e\u003cspan\u003eRecognize Audio As Text\u003c\/span\u003e\u003c\/h4\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-29-5.jpg\"\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle\"\u003eBlock Diagram\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-31.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003eHigh-Power Encoder DC Gear Motor\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003eHigh-Quality Carbon Brushes, All-Metal Gear Structure, High Precision, Low Running Noise, 11-Wire AB-Phase Hall Speed Encoder, Support PID Closed-Loop Speed Control To Calculate Wheel Odometer Information\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-5.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003eIMU Sensor\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003eBuilt-In High-Precision 9-Axis Motion Attitude Sensor, Using Extended Kalman Filter To Merge Wheel Odometer And IMU Data, Can Produce Higher-Precision Robot Attitude\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-7.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003e360 Degree Laser Ranging Lidar\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003e360-Degree Scanning And Ranging Of The Surrounding Environment To Obtain A Contour Map Around The Robot\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-11.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003e8MP 160 FOV Camera\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\"\u003e\n\u003cspan\u003eIMX219 Sensor, 3280 X 2464 Resolution\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003eSuitable For OpenCV Vision Development, Object Recognition, Target Tracking, Automatic Driving And Other AI Functions\u003c\/span\u003e\n\u003c\/h4\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-13.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003eUsing USB Audio Chip\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003eOnboard Two High-Quality MEMS Silicon Microphones And Dual Speakers For Stereo Recording And Playback\u003cbr\u003eSo The Robot Also Has \"Ears\" And \"Mouths\" That Can \"Listen\" And \"Talk\". Easily Realize Intelligent Speech Interaction\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-15.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003eSafe \u0026amp; Stable Circuit Design\u003c\/h2\u003e\n\u003cp class=\"alignl pdTRBL\"\u003eOnboard battery protection circuit for preventing overcharge, over-discharge, overcurrent, short circuit proof, with reverse proof, and equalizing charge. Makes your operation more stable and safer. Built-in battery detection circuit, onboard OLED to real-time display the battery voltage, current, and remaining battery capacity.\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-17.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003eProduct Structure\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-33.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003eHighly Integrated Expansion Board\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-35.jpg\"\u003e\u003cspan\u003e \u003c\/span\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-36.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003e\n\u003cspan\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-41.jpg\"\u003e \u003c\/span\u003e\u003cbr\u003e\n\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003eDimensions\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-size.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2\u003ePackage Contains:\u003c\/h2\u003e\n\u003col\u003e\n\u003cli\u003e\u003cspan\u003e1x ThinkRobotics Jetson Nano 4GB B01 Dev Kit (Optional)\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e1x Cardboard Case\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e1x JetBot ROS chassis\u003c\/li\u003e\n\u003cli\u003e1x JetBot ROS expansion board\u003c\/li\u003e\n\u003cli\u003e1x RPLIDAR A1\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e2x High power encoder motor\u003c\/li\u003e\n\u003cli\u003e1x Acrylic piece\u003c\/li\u003e\n\u003cli\u003e1x Wireless-AC8265 with antennas\u003c\/li\u003e\n\u003cli\u003e1x IMX219-160 Camera\u003c\/li\u003e\n\u003cli\u003e1x Acrylic camera spacer\u003c\/li\u003e\n\u003cli\u003e1x 1-inch caster\u003c\/li\u003e\n\u003cli\u003e1x Cooling fan\u003c\/li\u003e\n\u003cli\u003e1x 65mm Tire\u003c\/li\u003e\n\u003cli\u003e1x Wireless gamepad\u003c\/li\u003e\n\u003cli\u003e1x USB adapter\u003c\/li\u003e\n\u003cli\u003e1x Camera holder\u003c\/li\u003e\n\u003cli\u003e2x PH2.0 6PIN Cable\u003c\/li\u003e\n\u003cli\u003e1x 12.6V 2A battery charger\u003c\/li\u003e\n\u003cli\u003e2x 6mm hole Coupler\u003c\/li\u003e\n\u003cli\u003e4x Coupler screws\u003c\/li\u003e\n\u003cli\u003e1x Mini cross wrench sleeve\u003c\/li\u003e\n\u003cli\u003e1x Spanner\u003c\/li\u003e\n\u003cli\u003e1x Allen Spanner\u003c\/li\u003e\n\u003cli\u003e1x Screwdriver 2PCS\u003c\/li\u003e\n\u003cli\u003e1x Screws pack\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-ROS-AI-Kit\/JetBot-ROS-AI-Kit-details-pack.jpg\"\u003e\u003c\/p\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003e\u003c\/h2\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"Default Title","offer_id":45787860271187,"sku":"ROBO197","price":31149.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/jetbot-ros-ai-kit-1_1.webp?v=1783319006"},{"product_id":"hiwonder-jetarm-ros1-ros2-3d-vision-robot-arm","title":"Hiwonder JetArm ROS1\/ROS2 3D Vision Robot Arm","description":"\u003ch2\u003eHiwonder JetArm ROS1\/ROS2 3D Vision Robot Arm, with Multimodal AI Model (ChatGPT), AI Voice Interaction and Vision Recognition, Tracking \u0026amp; Sorting\u003c\/h2\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/4bcc8452eb26b41222251dde38be02a6.jpg?v=1700742877\" class=\"mainImg pc\"\u003e\u003c\/p\u003e\n\u003cp class=\"desc\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/1._a033cec3-8a9f-4759-bada-6e6537220f9c.webp?v=1749027441\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp class=\"desc\"\u003eJetArm is a desktop-level AI vision robotic arm developed by Hiwonder for ROS education scenarios. Equipped with a 3D depth camera, JetArm seamlessly combines 3D vision with robotic arm control. Backed by high-performance components—including high-torque smart bus servos, an NVIDIA Jetson controller, and an integrated microphone array—the robotic arm is capable of recognizing, tracking, and grasping target objects in 3D space. JetArm also leverages a Multimodal AI Large Model to support more advanced embodied AI applications. To help you unlock its full potential, we offer comprehensive tutorials designed to inspire and support your AI-driven creative projects.\u003c\/p\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/a380a06eaceb6cc98b4c1249dcf4a807.jpg?v=1700742877\"\u003e\n\u003ch3\u003eDepth Vision, 3D Scene Flexible Grabbing\u003c\/h3\u003e\n\u003cp\u003eThe end of the JetArm robot arm is equipped with a high-performance 3D depth camera, which can realize target recognition, tracking and grabbing. Through RGB+D fusion detection, JetArm can also realize flexible grabbing in 3D scene.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/687560ccbb5625d4bc3c548b02c9c76b.jpg?v=1700742877\"\u003e\n\u003ch3\u003eAll-metal Structure, Bearing Base\u003c\/h3\u003e\n\u003cp\u003eThe body of the robot arm adopts an all-metal structure, and the surface is anodized, making it exquisite and beautiful. The base uses industrial-grade bearings to meet high-demand grabbing projects.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/ca88c8ece52df8934d4ae28fb68422f4_d7d7e5fb-b0a2-46e3-83b0-c3a5d6d33d7e.jpg?v=1700742877\"\u003e\n\u003ch3\u003eWrapped Structure Design, Beautiful Wiring\u003c\/h3\u003e\n\u003cp\u003eJetArm adopts a wrapped structure design, and the wiring of the servo can be hidden inside the fuselage, making the outside of the fuselage clean and tidy.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/67efa1eeb0a67f3c035b2402ee987906_9806fa16-4b23-4050-a990-d56c4a0937a1.jpg?v=1700821148\" alt=\"\"\u003e\u003c\/div\u003e\n\u003ch3\u003eCircular Microphone Array\u003c\/h3\u003e\n\u003cp\u003eJetArm comes with a circular 6-microphone array that delivers excellent noise reduction and clear audio capture. It supports advanced features such as sound source localization, speech recognition, voice announcements, and voice control.JetArm comes with a circular 6-microphone array that delivers excellent noise reduction and clear audio capture. It supports advanced features such as sound source localization, speech recognition, voice announcements, and voice control.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv class=\"descItem pc\"\u003e\n\u003ch2 class=\"head\"\u003e \u003c\/h2\u003e\n\u003ch2\u003eDual-Controller Design for Efficient Collaboration\u003c\/h2\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/3_bae85564-c25f-48c0-a456-5807a419ed8c.webp?v=1749028081\" alt=\"\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/4ROS1_2_2_1.webp?v=1749027608\" alt=\"\"\u003e\u003c\/p\u003e\n\u003ch2 class=\"head\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 class=\"head\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 class=\"head\"\u003eFunction List\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/list_3f619963-d94d-4f0a-9667-73b9f4d97e75.jpg?v=1700821148\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"descItem\"\u003e\n\u003cp class=\"head\"\u003e \u003c\/p\u003e\n\u003cp class=\"head\"\u003e \u003c\/p\u003e\n\u003ch2 class=\"head\"\u003eMultimodal Models Deployment\u003c\/h2\u003e\n\u003cp class=\"head\"\u003eJetArm integrates a Multimodal Large AI Model and supports online deployment via OpenAI's API, enabling real-time access to advanced AI capabilities. It also allows seamless switching to alternative models, such as those available through OpenRouter, to support Vision Language Model applications. At its core, JetArm is designed as an all-in-one interaction hub built around ChatGPT, enabling sophisticated embodied AI use cases and creating a smooth, intuitive human-machine interaction experience! \u003c\/p\u003e\n\u003cp class=\"head\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/6_1_36a5c923-de29-4f50-8f3b-0b1451b5a2f6.webp?v=1749028161\" alt=\"\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/7_2_a17ca83e-4e55-4580-a9b3-6845875b4263.webp?v=1749028064\" alt=\"\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/8_3_816b2c04-135c-4a3a-8bdf-f14e9f2e95ef.webp?v=1749028048\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp class=\"head\"\u003e \u003c\/p\u003e\n\u003cp class=\"head\"\u003e \u003c\/p\u003e\n\u003ch2 class=\"head\"\u003eLarge AI Model–Driven Embodied AI Applications\u003c\/h2\u003e\n\u003cp class=\"head\"\u003eJetArm Ultimate Kit is equipped with a circular 6-microphone array. Going beyond the one-way command-response pattern of traditional AI models, JetArm—powered by ChatGPT—enables a cognitive leap from semantic understanding to physical execution, significantly enhancing the naturalness and fluidity of human-machine interaction. Combined with advanced machine vision, JetArm delivers outstanding capabilities in perception, reasoning, and action, making it ideal for developing sophisticated embodied AI applications.\u003cbr\u003e\u003c\/p\u003e\n\u003cp class=\"head\"\u003e\u003ciframe width=\"801\" height=\"452\" src=\"https:\/\/www.youtube.com\/embed\/G9IH4B9-BPw\" title=\"Can JetArm Robt Arm Really Run ChatGPT? We Tested It!\" data-gtm-yt-inspected-13=\"true\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/9_1_f094c56a-9b99-4487-b3cc-8510777c1248.webp?v=1749027628\" alt=\"\"\u003e\u003cbr\u003e\n\u003ch3\u003eVoice Control\u003c\/h3\u003e\n\u003cp\u003eWith ChatGPT integration, JetArm can comprehend spoken commands and carry out corresponding actions, enabling intuitive and seamless voice-controlled interaction.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/9_2_4dec156a-1361-4245-8df1-e31634f36e14.webp?v=1749027417\" alt=\"\"\u003e\u003cbr\u003e\n\u003ch3\u003eColor Sorting\u003c\/h3\u003e\n\u003cp\u003eWith the support of ChatGPT, JetArm can understand user commands and, when combined with AI vision, accurately identify and sort objects based on their colors within its field of view.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/10.1_3.webp?v=1749028129\" alt=\"\"\u003e\u003cbr\u003e\n\u003ch3\u003eWaste Sorting\u003c\/h3\u003e\n\u003cp\u003eJetArm leverages the YOLOv8 deep learning model built into its system to recognize different types of objects in the scene. With the power of ChatGPT, it can interpret user commands and perform corresponding actions, such as waste sorting.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/10.2_4.webp?v=1749028112\" alt=\"\"\u003e\u003c\/div\u003e\n\u003ch3\u003e3D Object Sorting\u003c\/h3\u003e\n\u003cp\u003eEquipped with a 3D depth camera, JetArm can detect objects of various shapes within its field of view. When combined with ChatGPT, it understands user instructions and carries out the required actions.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp class=\"head\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/13ai.webp?v=1749027761\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp class=\"head\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/14_3d.webp?v=1749027472\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp class=\"head\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/15_19bc3ba4-ece6-4c9f-aff7-8a4d28ae3c02.webp?v=1749027507\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp class=\"head\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/16rgb_d2.webp?v=1749027543\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp class=\"head\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/17_d5a04725-3c7d-4980-8b0e-e6442fb3acf7.webp?v=1749027490\" alt=\"\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"descItem\"\u003e\n\u003ch2 class=\"head\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 class=\"head\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 class=\"head\"\u003eDeep Learning Model Training\u003c\/h2\u003e\n\u003cp class=\"desc\"\u003eJetArm integrates advanced neural network technologies, leveraging YOLOv8 for real-time multi-object detection. It enables customized deep learning model training for specific objects, producing lightweight models optimized for TensorRT acceleration, unlocking a wide range of AI-driven creative possibilities.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/1_ebc1c489-edce-4183-99f1-0839165a8215.jpg?v=1700821148\"\u003e\n\u003ch3\u003eWaste Sorting\u003c\/h3\u003e\n\u003cp\u003eJetArm's kit is equipped with garbage pattern blocks. By loading the corresponding model, JetArm can quickly recognize different garbage and place it in the corresponding classification area.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/2_e7bee045-bb47-4abb-aa51-e82dc0ade2a3.jpg?v=1700821148\"\u003e\n\u003ch3\u003eItem Sorting\u003c\/h3\u003e\n\u003cp\u003eBy training models of daily items and generating correspond-ing models, with the support of depth cameras, JetArm can quickly recognize and grab corresponding items by obtaining the depth information of the items.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/19_f7d45099-4f85-4aad-a843-010ef0e3adf5.webp?v=1749028096\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cdiv class=\"descItem\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"descItem\"\u003e\n\u003ch2 class=\"head\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 class=\"head\"\u003eGazebo Simulation\u003c\/h2\u003e\n\u003cp class=\"desc\"\u003eThe JetArm robotic arm is developed using the ROS framework and supports GAZEBO simulation. The robotic arm is controlled and algorithm verified in a virtual environment, which reduces the requirements for the experimental environment and improves experimental efficiency.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/1f99eb0083dab6f9129591a240f0fed8_a0cb4db5-d250-4fae-962a-8ffc7bbb36bb.jpg?v=1700821463\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"descItem\"\u003e\n\u003ch2 class=\"head\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/21_862262df-510b-48c2-9778-b1eba2be8dd4.webp?v=1749027524\" alt=\"\"\u003e\u003c\/h2\u003e\n\u003ch2 class=\"head\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 class=\"head\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 class=\"head\"\u003e JetArm Configuration Selection Guide\u003c\/h2\u003e\n\u003cp class=\"head\"\u003eThe Jetson Nano provides essential AI inference capabilities, perfect for simple neural networks and deep learning models, making it ideal for entry-level AI applications. The Jetson Orin Nano offers 80 times the performance and computing power of the Jetson Nano, supporting more complex deep learning models and accelerated inference, making it well-suited for advanced edge AI applications. The Jetson Orin NX boosts computing power 2.5 times over the Jetson Orin Nano, offering top-tier AI inference performance for larger neural networks and real-time deep learning tasks. This performance upgrade enhances JetArm, unlocking exceptional capabilities in servo control, vision tasks, and deep learning across a wide range of applications!\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/22Jetson-Orin-Nano.webp?v=1749027929\" alt=\"\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/23_1.webp?v=1749027899\" alt=\"\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/24_2.webp?v=1749027944\" alt=\"\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/25_3.webp?v=1749027968\" alt=\"\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/26_5e371760-552a-4625-ae9c-9723fd0d4660.webp?v=1749028013\" alt=\"\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cspan\u003e\u003c\/span\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2\u003eProduct Structure\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp\u003e\u003cspan\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/27_1.webp?v=1749027721\" alt=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/28_d0dbddea-654e-4c16-b8ca-c07b00ef0120.webp?v=1749027738\" alt=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/29SDK.webp?v=1749027707\" alt=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/30_2.webp?v=1749027997\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/31_3.webp?v=1749027689\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/32_4.webp?v=1749027657\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/33_5.webp?v=1749027675\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/34_6ef8d501-8701-4a1d-b684-ea1de53c5426.webp?v=1749027416\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg class=\"a-section-image border\" src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/3_74993fd7-5e24-40dc-aa96-7e542d6d2c1a.jpg?v=1700821827\"\u003e\n\u003ch3\u003e7-inch HD LCD Touch Screen\u003c\/h3\u003e\n\u003cp class=\"description\"\u003eThe tail of the JetArm supports a 7-inch touch screen, which allows you to view the first vision image of the robotic arm in real time, as well as the operating status of the JetArm in real time to facilitate timely debugging.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg class=\"a-section-image border\" src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/2_60cc8c88-1ffc-4689-85b3-57bde62df9c6.jpg?v=1700821826\"\u003e\n\u003ch3\u003eAnodized Metal Bracket\u003c\/h3\u003e\n\u003cp\u003eThe JetArm robotic arm adopts an all-metal structure and anodized metal brackets, which are exquisite in workmanship, beautiful and durable.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg class=\"a-section-image border\" src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/4_a47edebb-deec-4e79-b771-e4fdd683ede7.jpg?v=1700821826\"\u003e\n\u003ch3\u003eBuilt-in Invisible Antenna\u003c\/h3\u003e\n\u003cp\u003eThe JetArm robotic arm uses a hidden antenna designed to enhance the signal and is built into the control cabin, giving the robotic arm a neat and clean appearance and eliminating the risk of interference with the antenna when the robotic arm is moving.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/35.4.webp?v=1749029581\"\u003e\u003cbr\u003e\n\u003ch3\u003eVersatile Expansion Ports\u003c\/h3\u003e\n\u003cp\u003eJetArm's base board provides abundant expansion ports, offering seamless compatibility with Hiwonder's sliding rail and mecanum wheel chassis—enabling a wide range of creative and advanced expansion possibilities.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/36.webp?v=1749030148\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eSPECIFICATIONS\u003c\/h2\u003e\n\u003ctable border=\"1\" cellpadding=\"8\" cellspacing=\"0\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eItem\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct model\u003c\/td\u003e\n\u003ctd\u003eJetArm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct dimensions\u003c\/td\u003e\n\u003ctd\u003e339 × 165 × 532 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct weight\u003c\/td\u003e\n\u003ctd\u003eApprox. 2.4 kg (ultimate version)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBody material\u003c\/td\u003e\n\u003ctd\u003eFull-metal aluminum alloy frame, anodized surface treatment\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSTM32 controller\u003c\/td\u003e\n\u003ctd\u003eROS robot controller (STM32F407VE16), embedded with FreeRTOS real-time OS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eROS controller\u003c\/td\u003e\n\u003ctd\u003eJetson Nano \/ Jetson Orin Nano \/ Jetson Orin NX\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eControl methods\u003c\/td\u003e\n\u003ctd\u003eUSB serial port, CAN interface, Bluetooth app, RC transmitter, computer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB expansion\u003c\/td\u003e\n\u003ctd\u003e5A high-current USB HUB expansion board\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera\u003c\/td\u003e\n\u003ctd\u003eGemini Plus depth camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower supply\u003c\/td\u003e\n\u003ctd\u003e12V 5A DC power adapter \/ 19V 2.37A power adapter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating system\u003c\/td\u003e\n\u003ctd\u003eUbuntu 20.04 LTS + ROS Noetic \/ Ubuntu 18.04 LTS + ROS Melodic\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSoftware\u003c\/td\u003e\n\u003ctd\u003eiOS\/Android app\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCommunication\u003c\/td\u003e\n\u003ctd\u003eUSB \/ Wi-Fi \/ Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProgramming language\u003c\/td\u003e\n\u003ctd\u003ePython \/ C \/ C++ \/ JavaScript\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e32GB TF card (Jetson Nano) \/ 128GB SSD (Jetson Orin Nano\/NX)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eServo model\u003c\/td\u003e\n\u003ctd\u003eHTS-21H \/ HTD-35H \/ HX-12H smart bus servo motors\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOptional accessories\u003c\/td\u003e\n\u003ctd\u003eIntegrated 6-microphone array, and 7-inch HD touchscreen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSupporting materials\u003c\/td\u003e\n\u003ctd\u003eFull development manuals, video tutorials, ROS\/STM32 source code, system images, software tools\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePackage weight \u0026amp; volume\u003c\/td\u003e\n\u003ctd\u003e4 kg; 385 × 295 × 175 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eJetArm Starter Packing List\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/37__01.webp?v=1749030031\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eJetArm Standard Packing List\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/38__02.webp?v=1749030014\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eJetArm Advanced Packing List\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/39__03_24f888d2-4fa7-47c7-8808-f04c5778c191.webp?v=1749030001\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eJetArm Ultimate Packing List\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/40__05.webp?v=1749029936\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2\u003eVIDEO\u003c\/h2\u003e\n\u003cp\u003e\u003ciframe title=\"JetArm 3D Vision Robot Arm: A Deep Dive into AI ROS Robot\" src=\"https:\/\/www.youtube.com\/embed\/wYL03uhiER4\" height=\"452\" width=\"801\" data-gtm-yt-inspected-13=\"true\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e","brand":"Roboi","offers":[{"title":"Starter Kit \/ with Jetson Orin Nano 8GB","offer_id":45787913683027,"sku":"ROBO198","price":126899.99,"currency_code":"INR","in_stock":true},{"title":"Starter Kit \/ with Jetson Orin NX 8GB","offer_id":45787913715795,"sku":"ROBO199","price":199049.99,"currency_code":"INR","in_stock":true},{"title":"Starter Kit \/ with Jetson Orin NX 16GB","offer_id":45787913748563,"sku":"ROBO200","price":255199.99,"currency_code":"INR","in_stock":true},{"title":"Standard Kit \/ with Jetson Orin Nano 8GB","offer_id":45787913781331,"sku":"ROBO201","price":156099.99,"currency_code":"INR","in_stock":true},{"title":"Standard Kit \/ with Jetson Orin NX 8GB","offer_id":45787913814099,"sku":"ROBO202","price":228249.99,"currency_code":"INR","in_stock":true},{"title":"Standard Kit \/ with Jetson Orin NX 16GB","offer_id":45787913846867,"sku":"ROBO203","price":284399.99,"currency_code":"INR","in_stock":true},{"title":"Advance Kit \/ with Jetson Orin Nano 8GB","offer_id":45787913879635,"sku":"ROBO204","price":173049.99,"currency_code":"INR","in_stock":true},{"title":"Advance Kit \/ with Jetson Orin NX 8GB","offer_id":45787913912403,"sku":"ROBO205","price":245199.99,"currency_code":"INR","in_stock":true},{"title":"Advance Kit \/ with Jetson Orin NX 16GB","offer_id":45787913945171,"sku":"ROBO206","price":301349.99,"currency_code":"INR","in_stock":true},{"title":"Ultimate Kit \/ with Jetson Orin Nano 8GB","offer_id":45787913977939,"sku":"ROBO207","price":186199.99,"currency_code":"INR","in_stock":true},{"title":"Ultimate Kit \/ with Jetson Orin NX 8GB","offer_id":45787914010707,"sku":"ROBO208","price":258399.99,"currency_code":"INR","in_stock":true},{"title":"Ultimate Kit \/ with Jetson Orin NX 16GB","offer_id":45787914043475,"sku":"ROBO209","price":314549.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/b8421501ceee8ed8defa49d79fc692df_20209314-ae96-4a76-a33f-d1b4f36fb31d.webp?v=1783320415"},{"product_id":"dofbot-ai-vision-robotic-arm-with-ros-for-jetson-nano","title":"DOFBOT AI Vision Robotic Arm with ROS for Jetson NANO","description":"\u003ch2\u003eYahboom DOFBOT AI Vision Robotic Arm with ROS Python programming for Jetson NANO 4GB(B01\/SUB)\u003c\/h2\u003e\n\u003cp\u003eDOFBOT is the best partner for AI beginners, programming enthusiasts and Jetson nano fans. It is designed based on Jetson NANO 4GB and contains 6 HQ servos, a HD camera and a multi-function expansion board. The whole body is made of green oxidized aluminum alloy, which is beautiful and durable. Through the ROS robot system, we simplify the motion control of serial bus servo. We adopt Open Source CV as the image processing library and Python3 programming language to create a series of AI visual game play. For example, color tracking, color interaction, garbage classification, gesture recognition, face tracking, etc. And it can be controlled by Android\/iOS mobile APP, PC computer and game handle. In addition, we will provide some tutorials for reference. \u003c\/p\u003e\n\u003ch3\u003eTUTORIALS can be found\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"http:\/\/www.yahboom.net\/study\/Dofbot-Jetson_nano\" target=\"_blank\"\u003e\u003cspan\u003ehere\u003c\/span\u003e\u003c\/a\u003e!\u003c\/h3\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eFeatures\u003c\/h2\u003e\n\u003ch3\u003e\u003cstrong\u003eReasonable and convenient first trial\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cspan\u003e\u003c\/span\u003eAssembled before shipping, users didn’t need to assemble.\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan\u003e\u003c\/span\u003eTF card with factory image file, plug and play without complex operation.\u003c\/li\u003e\n\u003cli\u003eScanning the QR code on the mobile APP through the camera to quickly configure the network and start up DOFBOT.\u003c\/li\u003e\n\u003cli\u003eEach function possess tutorials and codes in detail.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003e\u003cstrong\u003eExcellent structural design\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eAll aluminum alloy bracket with 2mm thickness.\u003c\/li\u003e\n\u003cli\u003eThe chassis with suction cups is more stable and can be stably placed in any experimental environment at any time.\u003c\/li\u003e\n\u003cli\u003eCamera and robot arm 2 in 1.\u003c\/li\u003e\n\u003cli\u003eFlexible 6 DOF vision robotic arm.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003e\u003cstrong\u003e\u003cb\u003eTop hardware Configuration\u003c\/b\u003e\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eMultifunctional expansion board, compatible with Jetson NANO, Raspberry Pi, Arduino, Micro:bit board.\u003c\/li\u003e\n\u003cli\u003e5*15KG bus servo+1*6KG bus servo.\u003c\/li\u003e\n\u003cli\u003ePS2 handle receiver, WiFi\/Bluetooth module interface, I2C port are reserved for users.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003e\u003cstrong\u003eFantastic AI function\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eSupport Android\/iOS APP, PC computer, Game handle, Jupyter Lab webpage online programming remote control.\u003c\/li\u003e\n\u003cli\u003eCan study and storage custom fixed action groups.\u003c\/li\u003e\n\u003cli\u003eSimultaneous movement of dual robotic arms.\u003c\/li\u003e\n\u003cli\u003eGesture recognition, color interaction, visual positioning, garbage sorting, catch game, face tracking, and blocks stack and others AI vision game play.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv\u003e\u003ca href=\"https:\/\/category.yahboom.net\/collections\/ros-controller-accessories\" target=\"_blank\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/ROS_accessories_2048x2048.jpg?v=1658384768\"\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003ca aria-describedby=\"a11y-new-window-message\" href=\"https:\/\/www.amazon.com\/dp\/B08T6N36YR\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/JetsonDOFBOT_01_2048x2048.jpg?v=1671024274\" alt=\"\" style=\"float: none;\"\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003ca aria-describedby=\"a11y-new-window-message\" href=\"https:\/\/www.amazon.com\/dp\/B08T6N36YR\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/JetsonDOFBOT_02_2048x2048.jpg?v=1671024292\" alt=\"\" style=\"float: none;\"\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003ca aria-describedby=\"a11y-new-window-message\" href=\"https:\/\/www.amazon.com\/dp\/B08T6N36YR\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/JetsonDOFBOT_03_2048x2048.jpg?v=1671024309\" alt=\"\" style=\"float: none;\"\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003ca aria-describedby=\"a11y-new-window-message\" href=\"https:\/\/www.amazon.com\/dp\/B08T6N36YR\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/JetsonDOFBOT_04_2048x2048.jpg?v=1671024325\" style=\"float: none;\"\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003ca aria-describedby=\"a11y-new-window-message\" href=\"https:\/\/www.amazon.com\/dp\/B08T6N36YR\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/JetsonDOFBOT_05_2048x2048.jpg?v=1671024343\" alt=\"\" style=\"float: none;\"\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003ca aria-describedby=\"a11y-new-window-message\" href=\"https:\/\/www.amazon.com\/dp\/B08T6N36YR\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/JetsonDOFBOT_14_2048x2048.jpg?v=1671024368\" style=\"float: none;\"\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003ca aria-describedby=\"a11y-new-window-message\" href=\"https:\/\/www.amazon.com\/dp\/B08T6N36YR\" target=\"_blank\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/JetsonDOFBOT_15_2048x2048.jpg?v=1671024385\" style=\"float: none;\"\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003ca aria-describedby=\"a11y-new-window-message\" href=\"https:\/\/www.amazon.com\/dp\/B08T6N36YR\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/JetsonDOFBOT_16_2048x2048.jpg?v=1671024402\" alt=\"\" style=\"float: none;\"\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003ca aria-describedby=\"a11y-new-window-message\" href=\"https:\/\/www.amazon.com\/dp\/B08T6N36YR\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/JetsonDOFBOT_17_2048x2048.jpg?v=1671024420\" alt=\"\" style=\"float: none;\"\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003ca aria-describedby=\"a11y-new-window-message\" href=\"https:\/\/www.amazon.com\/dp\/B08T6N36YR\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/JetsonDOFBOT_18_2048x2048.jpg?v=1671024452\" alt=\"\" style=\"float: none;\"\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003ca aria-describedby=\"a11y-new-window-message\" href=\"https:\/\/www.amazon.com\/dp\/B08T6N36YR\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/JetsonDOFBOT_19_2048x2048.jpg?v=1671024470\" alt=\"\" style=\"float: none;\"\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003ca aria-describedby=\"a11y-new-window-message\" href=\"https:\/\/www.amazon.com\/dp\/B08T6N36YR\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/JetsonDOFBOT_20_2048x2048.jpg?v=1671024485\" alt=\"\" style=\"float: none;\"\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003ca aria-describedby=\"a11y-new-window-message\" href=\"https:\/\/www.amazon.com\/dp\/B08T6N36YR\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/JetsonDOFBOT_21_2048x2048.jpg?v=1671024504\" alt=\"\" style=\"float: none;\"\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003ca aria-describedby=\"a11y-new-window-message\" href=\"https:\/\/www.amazon.com\/dp\/B08T6N36YR\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/JetsonDOFBOT_22_2048x2048.jpg?v=1671024522\" alt=\"\" style=\"float: none;\"\u003e\u003c\/a\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch3\u003e\u003cbr\u003e\u003c\/h3\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/JetsonDOFBOT_23_2048x2048.jpg?v=1671024557\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/JetsonDOFBOT_24_2048x2048.jpg?v=1671024572\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/JetsonDOFBOT_25_2048x2048.jpg?v=1671024586\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2\u003ePackage list\u003c\/h2\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0066\/9686\/1780\/files\/JetsonDOFBOT_26_2048x2048.jpg?v=1671024642\" alt=\"\"\u003e\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"Default Title","offer_id":45787933540435,"sku":"ROBO212","price":42599.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/JetsonDOFBOT-Yahboom_1200x_f889a46c-53be-4f32-ab01-867d1ca30fea.webp?v=1783321134"},{"product_id":"jettank-ai-tracked-mobile-robot-kit","title":"JETTANK AI Tracked Mobile Robot Kit","description":"\u003ch2\u003e\u003cspan\u003eJETANK AI Kit, AI Tracked Mobile Robot, AI Vision Robot, Based On Waveshare Jetson Nano Dev Kit (Optional)\u003c\/span\u003e\u003c\/h2\u003e\n\u003cdiv class=\"overviewSec\"\u003e\u003cspan\u003eThis is an intelligent crawler robot specially designed for the NVIDIA JetBot AI project, based on the Jetson Nano Developer Kit. The expansion board integrates OLED, motor drive circuit, servo drive circuit, power supply circuit, battery protection circuit, etc., which saves you the trouble of welding the circuit, supports unloading charging and does not need to repeatedly remove the battery. The software is fully compatible with the NVIDIA JetBot AI project and supports intelligent obstacle avoidance, autonomous line patrol, motion detection, color recognition tracking, and other functions. The robot is also equipped with a four-degree-of-freedom mechanical arm, which is controlled by a three-dimensional coordinate system and can be flexibly controlled by a wireless gamepad.\u003c\/span\u003e\u003c\/div\u003e\n\u003cdiv class=\"overviewSec\"\u003e\n\u003cspan\u003e\u003c\/span\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"overviewSec\"\u003e\n\u003cspan\u003e\u003c\/span\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"overviewSec\"\u003e\n\u003ch3\u003e\u003cspan class=\"mw-headline\" id=\"Expansion_board_Feature\"\u003eExpansion board Features\u003c\/span\u003e\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eOnboard three 18650 batteries, up to 12.6V voltage output, stronger motor power.\u003c\/li\u003e\n\u003cli\u003eOnboard S-8254AA + AO4407A lithium battery protection circuit, with anti-overcharge, anti-over-discharge, anti-over-current and short-circuit protection functions.\u003c\/li\u003e\n\u003cli\u003eThe onboard APW7313 voltage regulator chip can provide a stable 5V voltage to the Jetson Nano.\u003c\/li\u003e\n\u003cli\u003eThe onboard SY8286 voltage regulator chip can provide a maximum current of 5A to the steering gear.\u003c\/li\u003e\n\u003cli\u003eThe onboard TB6612FNG dual H-bridge motor driver chip can drive the left and right motors to work.\u003c\/li\u003e\n\u003cli\u003eOnboard 0.91-inch 128×32 resolution OLED, real-time display of car IP address, memory, power, etc.\u003c\/li\u003e\n\u003cli\u003eThe onboard INA219 acquisition chip is convenient for real-time monitoring of battery voltage and charging current.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"overviewSec\"\u003e\n\u003cspan\u003e\u003c\/span\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"overviewSec\"\u003e\n\u003cspan\u003e\u003c\/span\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"richWrap\"\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETANK-AI-Kit\/JETANK-AI-Kit-details-1.jpg\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cp class=\"alignl pdTRBL2\"\u003eThe Waveshare Jetson Nano Dev Kit incorporates Jetson Nano Module with 16GB eMMC and 4GB RAM. Jetson Nano is a small, powerful computer, which delivers 472 GFLOPS for running modern AI algorithms fast, with a quad-core Cortex-A57 CPU and a 128-core Maxwell GPU.It is widely used for deep learning, computer vision, GPU computing, multimedia processing,and much more. Many popular AI frameworks are supported, such as TensorFlow, PyTorch, Caffe \/ Caffe2, Keras, and MXNet, etc.\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-AI-Kit\/JetBot-AI-Kit-Details_14-1.jpg\"\u003e\u003cspan\u003e \u003c\/span\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetBot-AI-Kit\/JetBot-AI-Kit-Details_14-2.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"msg msg_warning\"\u003e\u003cem\u003e\u003cspan\u003eNote: NVIDIA Jetson Nano has been officially announced as End-of-Life (EOL) starting January 2026. Long-term availability, future software updates, and extended support will be limited.\u003c\/span\u003e\u003c\/em\u003e\u003c\/div\u003e\n\u003cdiv class=\"msg msg_warning\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle\"\u003eQuality Chassis With Track\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\"\u003e\u003cspan\u003eAdopting 37-520 Full-Metal DC Gearmotor, High Torque, Low Noise\u003c\/span\u003e\u003c\/h4\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETANK-AI-Kit\/JETANK-AI-Kit-details-5.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003e4-DOF Robotic Arm\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\"\u003e\u003cspan\u003e180° Wide Angle Rotation, Flexible Controlling\u003c\/span\u003e\u003c\/h4\u003e\n\u003ch4\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETANK-AI-Kit\/JETANK-AI-Kit-details-7.jpg\"\u003e\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle\"\u003eQuality Serial Bus Full-Metal Digital Servo\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\"\u003eHigh Torque, High Precision, Preventing It From Being Stuck And Damaged\u003c\/h4\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETANK-AI-Kit\/JETANK-AI-Kit-details-9.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle hilitColor\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle hilitColor\"\u003eAuto Collision Avoidance\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\"\u003eCollecting Data Via Camera By Taking Enough Images Of Different Conditions, Using The Data To Train The Neutral Network, Combined With AI Algorithm, Finally Achieving Auto Collision Avoidance On Sorts Of Environments.\u003c\/h4\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETANK-AI-Kit\/JETANK-AI-Kit-details-11.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003eDeep Learning, Autonomous Driving\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETANK-AI-Kit\/JETANK-AI-Kit-details-13.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003eMotion Detection\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\"\u003eCapturing Moving Objects On The Video By Motion Detection\u003c\/h4\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETANK-AI-Kit\/JETANK-AI-Kit-details-15.jpg\"\u003e\n\u003cp\u003e \u003cbr\u003e\u003c\/p\u003e\n\u003ch2 class=\"richTitle\"\u003eColor Recognition \u0026amp; Tracking\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\"\u003e\n\u003cspan\u003eRecognizing And Locking Specified Color By Camera,\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003eAnd Then Using Pan \u0026amp; Tilt To Track The Specified Color Automatically\u003c\/span\u003e\n\u003c\/h4\u003e\n\u003ctable align=\"center\" width=\"100%\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETANK-AI-Kit\/JETANK-AI-Kit-details-17-2.gif\"\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETANK-AI-Kit\/JETANK-AI-Kit-details-15-1.gif\"\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETANK-AI-Kit\/JETANK-AI-Kit-details-17-1.gif\"\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"richGridWrap richGridWrap-img6txt4\"\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cspan\u003e \u003c\/span\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle\"\u003eGamepad Teleoperation\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\"\u003eEasier To Use, More Flexible\u003c\/h4\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETANK-AI-Kit\/JETANK-AI-Kit-details-19.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003e3D Coordinate System Controlled Robotic Arm\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\"\u003eCalculated Via Inverse Kinematics Algorithm\u003c\/h4\u003e\n\u003cp class=\"subBlock\"\u003einput coordinate of the target, calculating the moving angles of the 4-DOF servos by inverse kinematics algorithm, and then controlling the servos via serial bus, moving the robotic arm to reach target position\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETANK-AI-Kit\/JETANK-AI-Kit-details-21.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle hilitColor\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle hilitColor\"\u003eJupyterLab Programming\u003c\/h2\u003e\n\u003cp class=\"subBlock\"\u003eJupyterLab is a web-based interactive development environment, supports multi data formats including code, document, image\/video, UI control interface, etc., provides rich visualized output, allows easily creating dashboard and UI, supports flexible configuration and arrangement for modular interface.\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETANK-AI-Kit\/JETANK-AI-Kit-details-23.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003e8MP 160° FOV Camera\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003eIMX219 Sensor, 3280×2464 Resolution\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETANK-AI-Kit\/JETANK-AI-Kit-details-25.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003eDual-Band Wireless AC8265\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003eHigh Speed WiFi, Stable Bluetooth Communication, Low Latency\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETANK-AI-Kit\/JETANK-AI-Kit-details-27.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle\"\u003eHighly Integrated Expansion Board\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003eRechargeable, Battery Voltage Monitor, No Messy Wiring, Simple Assembly\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETANK-AI-Kit\/JETANK-AI-Kit-details-29.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETANK-AI-Kit\/JETANK-AI-Kit-details-31.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003eResources\u003c\/h2\u003e\n\u003cdiv class=\"bgGrey\"\u003e\n\u003cstrong\u003eWiki:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/JETANK_AI_Kit\" target=\"_blank\"\u003eJETANK_AI_Kit\u003c\/a\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bgGrey\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"bgGrey\"\u003ePackage Contains\u003c\/h2\u003e\n\u003cdiv class=\"bgGrey\"\u003e\n\u003col\u003e\n\u003cli\u003e\n\u003cspan class=\"noteBg\"\u003eOPTIONAL\u003c\/span\u003e\u003cspan\u003e \u003ca href=\"https:\/\/thinkrobotics.in\/products\/jetson-nano-b01?_pos=1\u0026amp;_psq=jetson%20b01\u0026amp;_ss=e\u0026amp;_v=1.0\" target=\"_blank\"\u003eThinkRobotics B01\u003c\/a\u003e\u003c\/span\u003e\u003ca href=\"https:\/\/thinkrobotics.in\/products\/jetson-nano-b01?_pos=1\u0026amp;_psq=jetson%20b01\u0026amp;_ss=e\u0026amp;_v=1.0\" target=\"_blank\"\u003e Jetson Nano Dev Kit\u003c\/a\u003e, including:\n\u003cul\u003e\n\u003cli\u003eJetson Nano carrier board\u003c\/li\u003e\n\u003cli\u003eJetson Nano 4GB Module \u003c\/li\u003e\n\u003cli\u003eNVIDIA official heatsink\u003c\/li\u003e\n\u003cli\u003eAssembled\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e1x Aluminum alloy kit\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e1x JETANK expansion board\u003c\/li\u003e\n\u003cli\u003e1x Wireless-AC8265 with antenna\u003c\/li\u003e\n\u003cli\u003e1x IMX219-160 Camera\u003c\/li\u003e\n\u003cli\u003e1x Acrylic camera spacer\u003c\/li\u003e\n\u003cli\u003e1x Camera FFC\u003c\/li\u003e\n\u003cli\u003e1x 0.91inch OLED\u003c\/li\u003e\n\u003cli\u003e1x 12.6V 2A power supply + additional EU head\u003c\/li\u003e\n\u003cli\u003e1x Robotic arm gripper\u003c\/li\u003e\n\u003cli\u003e1x Thrust bearing\u003c\/li\u003e\n\u003cli\u003e2x Flange bearing\u003c\/li\u003e\n\u003cli\u003e2x Coupler\u003c\/li\u003e\n\u003cli\u003e2x Gearmotor\u003c\/li\u003e\n\u003cli\u003e1x 5264 servo wire\u003c\/li\u003e\n\u003cli\u003e2x Track kit (including bolt, nut, and screwdriver)\u003c\/li\u003e\n\u003cli\u003e1x 2*5Pin wire\u003c\/li\u003e\n\u003cli\u003e1x Spanner\u003c\/li\u003e\n\u003cli\u003e1x L-form hex socket spanner 2PCS\u003c\/li\u003e\n\u003cli\u003e4x SCS15-AP servo\u003c\/li\u003e\n\u003cli\u003e1x Screwdriver 2PCS\u003c\/li\u003e\n\u003cli\u003e1x SCS15-S servo\u003c\/li\u003e\n\u003cli\u003e1x Card reader\u003c\/li\u003e\n\u003cli\u003e2x Mini cross wrench sleeve\u003c\/li\u003e\n\u003cli\u003e1x Cooling fan\u003c\/li\u003e\n\u003cli\u003e1x PH2.0 4PIN dual connector cable\u003c\/li\u003e\n\u003cli\u003e1x Screws pack\u003c\/li\u003e\n\u003cli\u003eThe 18650 batteries are NOT included\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETANK-AI-Kit\/JETANK-AI-Kit-details-pack.jpg\"\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"Default Title","offer_id":45787943239763,"sku":"ROBO213","price":26049.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/jetank-ai-kit-6_1.webp?v=1783321398"},{"product_id":"waveshare-ai-jetbot-robot-kit","title":"Waveshare AI Jetbot Robot Kit without Jetson Nano","description":"\u003ch3 class=\"about-headers\"\u003eDescription\u003c\/h3\u003e\n\u003cdiv class=\"aboutContent clearfix\"\u003e\n\u003cdiv class=\"std\"\u003e\n\u003cul\u003e\n\u003cli\u003eWaveshare JetBot AI Robot Developer Kit\u003c\/li\u003e\n\u003cli\u003eOffers 8MP 160° FOV camera\u003c\/li\u003e\n\u003cli\u003eComes with a Sony IMX219 sensor\u003c\/li\u003e\n\u003cli\u003eProvides a resolution of 3280 x 2464 pixel\u003c\/li\u003e\n\u003cli\u003eNo messy wiring, simple assembly\u003c\/li\u003e\n\u003cli\u003eRuns on 18650 batteries\u003cspan\u003e \u003c\/span\u003e\u003cspan\u003e(Not Included)\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eThe\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eWaveshare JetBot AI Robot Developer Kit\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003eis a small, powerful computer, which delivers 472 GFLOPS for running modern Al algorithms fast, with a quad-core Cortex-A57 CPU and a 128-core Maxwell GPU.\u003c\/p\u003e\n\u003cp\u003elt is widely used for deep learning, computer vision, GPU computing, multimedia processing, and much more. Many popular Al frameworks are supported, such as TensorFlow, PyTorch, Caffe \/ Caffe2, Keras, and MXNet, etc.\u003c\/p\u003e\n\u003ch3 class=\"about-headers\"\u003eSpecifications\u003c\/h3\u003e\n\u003cdiv class=\"aboutContent clearfix\"\u003e\n\u003cul\u003e\n\u003cli\u003eController: Jetson Nano 4GB (optional)\u003c\/li\u003e\n\u003cli\u003eOS: Ubuntu 18.04 LTS\u003c\/li\u003e\n\u003cli\u003eLanguage: Python\u003c\/li\u003e\n\u003cli\u003eCamera: 8MP HD resolution\u003c\/li\u003e\n\u003cli\u003eFOV: 160°\u003c\/li\u003e\n\u003cli\u003ePixels: 128 x 32\u003c\/li\u003e\n\u003cli\u003eWireless: 2.4 GHz \/ 5.8 GHz dual-band WiFi\u003c\/li\u003e\n\u003cli\u003eTeleoperation: Gamepad, webpage\u003c\/li\u003e\n\u003cli\u003eCommunication: WiFi\u003c\/li\u003e\n\u003cli\u003eProtection: overcharge\/discharge protection, over current protection, short circuit protection, reverse proof\u003c\/li\u003e\n\u003cli\u003eDriving Type: Differential 2WD\u003c\/li\u003e\n\u003cli\u003ePower Supply: 12.6 V, 18650 battery x 3 (connected in series)\u003c\/li\u003e\n\u003cli\u003eMotor: TT motor | Reduction rate 1:48 | Idle speed 240 RPM\u003c\/li\u003e\n\u003cli\u003eChassis: Aluminum alloy chassis\u003c\/li\u003e\n\u003cli\u003eProgram Library: JetBot, ROS\u003c\/li\u003e\n\u003cli\u003eWeight: 1.135 kg\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eWhat's Included:\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e1x Metal box\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e1x Camera holder\u003c\/li\u003e\n\u003cli\u003e1x Acrylic camera spacer\u003c\/li\u003e\n\u003cli\u003e1x IMX219-160 Camera\u003c\/li\u003e\n\u003cli\u003e1x USB WiFi\u003c\/li\u003e\n\u003cli\u003e1x JetBot expansion board\u003c\/li\u003e\n\u003cli\u003e2x Motor\u003c\/li\u003e\n\u003cli\u003e2x Wheel\u003c\/li\u003e\n\u003cli\u003e2x Caster\u003c\/li\u003e\n\u003cli\u003e1x Power adapter EU head\u003c\/li\u003e\n\u003cli\u003e1x 12.6 V battery charger\u003c\/li\u003e\n\u003cli\u003e1x Wireless gamepad\u003c\/li\u003e\n\u003cli\u003e2x Screwdriver\u003c\/li\u003e\n\u003cli\u003e1x 6pin 9 cm cable\u003c\/li\u003e\n\u003cli\u003e1x Screws pack\u003c\/li\u003e\n\u003cli\u003e1x 4010 cooling fan\u003c\/li\u003e\n\u003cli\u003e1x Micro SD card reader\u003c\/li\u003e\n\u003cli\u003e3x 18650 3.7V Li-Ion Batteries\u003c\/li\u003e\n\u003cli\u003e\u003cspan\u003eJetson Nano 4GB Developer Kit is Option\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/JetBot-2GB-AI-Kit-details-pack_960_1024x1024.jpg?v=1635101527\" width=\"1024x1024\" height=\"1024x1024\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eThe Robot Operating System (ROS) is a flexible framework for writing robot software. It is a collection of tools, libraries, and conventions that aim to simplify the task of creating complex and robust robot behavior across a wide variety of robotic platforms. The ROS is one of the most popular robot software frameworks in the world.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/JetBot-2GB-AI-Kit-details-19_1024x1024.jpg?v=1635101872\" width=\"1024x1024\" height=\"1024x1024\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/JetBot-2GB-AI-Kit-details-21_1024x1024.jpg?v=1635102357\" width=\"1024x1024\" height=\"1024x1024\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/JetBot-2GB-AI-Kit-details-15_1024x1024.jpg?v=1635102009\" width=\"1024x1024\" height=\"1024x1024\"\u003e\u003c\/p\u003e\n\u003ch3\u003e8MP 160° FOV Camera - Sony IMX219 Sensor, 3280×2464 Resolution\u003c\/h3\u003e\n\u003cp\u003eFacial Recognition, Object Classify, Real Time Monitoring\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/JetBot-2GB-AI-Kit-details-17_1024x1024.jpg?v=1635102285\" alt=\"\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"Default Title","offer_id":45787948777555,"sku":"ROBO214","price":10549.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/jetbot-2gb-ai-kit-1.webp?v=1783321771"},{"product_id":"jetracer-ros-ai-robot","title":"JetRacer ROS AI Robot","description":"\u003ch1 class=\"richTitle\"\u003eJetRacer ROS AI Robot\u003c\/h1\u003e\n\u003cp class=\"richDesc\"\u003e\u003cspan\u003e\u003cstrong\u003eJetRacer AI Kit Professional Version\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-ROS-AI-Kit\/JetRacer-ROS-AI-Kit-details-1.jpg\" alt=\"\"\u003e\u003c\/div\u003e\n\u003cp\u003eIt meets the needs of scientific research algorithm verification in various fields such as Lidar mapping, autonomous navigation, autonomous driving, intelligent speech, target detection, face recognition, etc. It is not only compatible with software of the N-VIDIA JetRacer open-source project, but also is overall upgraded in hardware with better performance.\u003c\/p\u003e\n\u003cdiv\u003e\u003cimg alt=\"\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-ROS-AI-Kit\/JetRacer-ROS-AI-Kit-details-3.jpg\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cem\u003e\u003cspan\u003eNote: NVIDIA Jetson Nano has been officially announced as End-of-Life (EOL) starting January 2026. Long-term availability, future software updates, and extended support will be limited.\u003c\/span\u003e\u003c\/em\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv\u003e\n\u003ctable class=\"tabSty-2 subBlock\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003e \u003c\/th\u003e\n\u003cth\u003e\u003cstrong\u003eJETRACER KIT\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eJETRACER ROS KIT\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eAPPEARANCE\u003c\/strong\u003e\u003c\/th\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/thinkrobotics.com\/products\/jetracer-ai-kit-ai-racing-robot-powered-by-jetson-nano-online\" rel=\"noopener\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-AI-Kit\/JetRacer-AI-Kit-1_160.jpg\"\u003e\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/JetRacer-ROS-AI-Kit.htm\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-ROS-AI-Kit\/JetRacer-ROS-AI-Kit-1_160.jpg\"\u003e\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eMICROCONTROLLER\u003c\/strong\u003e\u003c\/th\u003e\n\u003ctd\u003eN\/A\u003c\/td\u003e\n\u003ctd class=\"hilitColor\"\u003eRaspberry Pi RP2040 Chip\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eMOTOR\u003c\/strong\u003e\u003c\/th\u003e\n\u003ctd\u003e37-520 DC Gear Motor\u003cbr\u003eReduction rate 1:10\u003cbr\u003eIdle speed 740RPM\u003c\/td\u003e\n\u003ctd class=\"hilitColor\"\u003e37-520 Metal Encoder Motor\u003cbr\u003eReduction Rate 1:30\u003cbr\u003eIdle Speed 333RPM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eMOTOR ENCODER\u003c\/strong\u003e\u003c\/th\u003e\n\u003ctd\u003eN\/A\u003c\/td\u003e\n\u003ctd class=\"hilitColor\"\u003e11 wire AB phase hall speed sensor, supports wheel odometry\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eIMU SENSOR\u003c\/strong\u003e\u003c\/th\u003e\n\u003ctd\u003eN\/A\u003c\/td\u003e\n\u003ctd class=\"hilitColor\"\u003eMPU9250\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eLIDAR\u003c\/strong\u003e\u003c\/th\u003e\n\u003ctd\u003eN\/A\u003c\/td\u003e\n\u003ctd class=\"hilitColor\"\u003eRPLIDAR A1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eAUDIO INTERFACE\u003c\/strong\u003e\u003c\/th\u003e\n\u003ctd\u003eN\/A\u003c\/td\u003e\n\u003ctd class=\"hilitColor\"\u003eOne Speaker, Dual Microphones, Support Intelligent speech\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e\u003cstrong\u003eMAPPING NAVIGATION\u003c\/strong\u003e\u003c\/th\u003e\n\u003ctd\u003eNot Support\u003c\/td\u003e\n\u003ctd class=\"hilitColor\"\u003eSupport\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cdiv class=\"pdT\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle\"\u003eIntelligent Dual-Controller Design\u003c\/h2\u003e\n\u003cp class=\"alignl pdTRBL\"\u003eThe host controller adopts Jetson Nano Dev Kit, provides two version options: N-VIDIA Jetson Nano Developer Kit (B01) and Waveshare Jetson Nano Dev Kit. Both kits have almost the same performance and appearance, except that the Waveshare Jetson Nano Dev Kit adopts a 16GB eMMC version of the Jetson Nano Module. The Jetson Nano Dev Kit is equipped with 4GB memory and has better performance, responsible for Artificial Intelligence (AI), speech processing, visual processing, mapping and navigation, etc.\u003cbr\u003e\u003cbr\u003eThe sub-controller uses the Raspberry Pi RP2040 dual-core microcontroller, which has better real-time performance and higher control accuracy, and is responsible for attitude data collection and motion control.\u003c\/p\u003e\n\u003ch4 class=\"richDesc hilitBlock2 round1234\"\u003e\u003cspan\u003eAdopting USB Communication, Faster Transmission Speed Than The UART\u003c\/span\u003e\u003c\/h4\u003e\n\u003cspan\u003e \u003c\/span\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-ROS-AI-Kit\/JetRacer-ROS-AI-Kit-details-7.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003eDeveloped Based On ROS\u003c\/h2\u003e\n\u003cp class=\"alignl pdTRBL\"\u003eROS (Robot Operation System) is an open-source operating system that includes a collection of software libraries and tools for robot design. It provides the services expected of an operating system, including hardware abstraction, bottom layer device control, implementation of common functions, message transfering between processes, and package management. ROS simplifies robot design and is the mainstream robot software framework in the world.\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-ROS-AI-Kit\/JetRacer-ROS-AI-Kit-details-9.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003eSupport I2C Slave Mode Control\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\"\u003e\u003cspan\u003e\u003cstrong\u003eCompletely Compatible With Original JetRacer Demo\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp class=\"alignl pdTRBL\"\u003eJetracer ROS AI Kit is an autonomous Al racing car powered by N-VIDIA Jetson Nano. By interactive programming via web browser, it allows high frame rate processing due to torch2trt (PyTorch to TensorRT translator) optimizing, so that faster autonomous line following driving can be easily achieved.\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-ROS-AI-Kit\/JetRacer-ROS-AI-Kit-details-13.jpg\"\u003e\n\u003cp class=\"richDesc\"\u003e\u003cspan\u003e\u003cem\u003eHigh School AI Education, Race-Specified Intelligent Car\u003c\/em\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle\"\u003eDonKeyCar Open Source Project\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003e\u003cspan\u003e\u003cstrong\u003eDeep Learning | Self Driving Car\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"alignl pdTRBL\"\u003eDonKeyCar utilizes deep learning neural network framework Keras\/TensorFlow, together with computer vision library OpenCV, to achieve self driving.\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-ROS-AI-Kit\/JetRacer-ROS-AI-Kit-details-11.jpg\"\u003e\u003cspan\u003e \u003c\/span\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-ROS-AI-Kit\/JetRacer-ROS-AI-Kit-details-12.gif\"\u003e\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003eSLAM Lidar Mapping\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\"\u003e\n\u003cspan\u003eMapping With Odometer, IMU, Lidar, EKF, Etc.\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003eSupports Gmapping, Hector, Karto, And Cartographer Mapping Algorithms\u003c\/span\u003e\n\u003c\/h4\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-ROS-AI-Kit\/JetRacer-ROS-AI-Kit-details-15.gif\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003ePath Planning, Autonomous Navigation,\u003cbr\u003eDynamic Obstacle Avoidance\u003c\/h2\u003e\n\u003ch4 class=\"hilitBlock2 round1234\"\u003e\u003cspan\u003eAdaptive Monte Carlo Localization (AMCL) |  Move_base Autonomous Navigation\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp class=\"richDesc\"\u003e\u003cstrong\u003eSupports Single-Point Navigation, Multi-Point Patrol Navigation, And Mapping While Navigating\u003c\/strong\u003e\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-ROS-AI-Kit\/JetRacer-ROS-AI-Kit-details-17.gif\"\u003e\n\u003cp class=\"alignl pdTRBL\"\u003e\u003cspan\u003e\u003cstrong class=\"hilitColor\"\u003e \u003c\/strong\u003e\u003cstrong class=\"hilitColor\"\u003eSingle-point Navigation\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eAfter publishing the navigation target position, the robot will automatically plan the path to navigate to the target position.\u003c\/p\u003e\n \u003cbr\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-ROS-AI-Kit\/JetRacer-ROS-AI-Kit-details-19.gif\"\u003e\n\u003cp class=\"alignl pdTRBL\"\u003e\u003cspan\u003e\u003cstrong class=\"hilitColor\"\u003eMultipoint Patrol Navigation\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eAdd navigation dots, the robot will cruise and navigate between the navigation dots.\u003c\/p\u003e\n\u003cbr\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-ROS-AI-Kit\/JetRacer-ROS-AI-Kit-details-21.gif\"\u003e\n\u003cp class=\"alignl pdTRBL\"\u003e\u003cspan\u003e\u003cstrong class=\"hilitColor\"\u003eMapping while navigating\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eAfter publishing the navigation target position, the robot will automatically explore the path to the target point, and publish it while scanning the map.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003eOpenCV Vision Processing\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003e\u003cspan\u003eIntegrates OpenCV Vision Library, With Extensive Algorithm Demos\u003c\/span\u003e\u003c\/p\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-ROS-AI-Kit\/JetRacer-ROS-AI-Kit-details-25-1.jpg\"\u003e\n\u003cp\u003e\u003cstrong\u003eAR Vision\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-ROS-AI-Kit\/JetRacer-ROS-AI-Kit-details-25-2.jpg\"\u003e\n\u003cp\u003e\u003cstrong\u003eFace Detection\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-ROS-AI-Kit\/JetRacer-ROS-AI-Kit-details-25-3.jpg\"\u003e\n\u003cp\u003e\u003cstrong\u003eObject Tracking\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-ROS-AI-Kit\/JetRacer-ROS-AI-Kit-details-25-4.jpg\"\u003e\n\u003cp\u003e\u003cstrong\u003eColor Recognition\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-ROS-AI-Kit\/JetRacer-ROS-AI-Kit-details-25-5.jpg\"\u003e\n\u003cp\u003e\u003cstrong\u003eMotion Detection\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-ROS-AI-Kit\/JetRacer-ROS-AI-Kit-details-25-6.jpg\"\u003e\n\u003cp\u003e\u003cstrong\u003eVision Line Tracking\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-ROS-AI-Kit\/JetRacer-ROS-AI-Kit-details-25-7.jpg\"\u003e\n\u003cp\u003e\u003cstrong\u003eContour Detection\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-ROS-AI-Kit\/JetRacer-ROS-AI-Kit-details-25-8.jpg\"\u003e\n\u003cp\u003e\u003cstrong\u003eImage Calibration\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003eIntelligent Speech Processing, Human-Robot Speech Interaction\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"w\/o Jetson Nano B01 Dev Kit","offer_id":45787964342355,"sku":"ROBO215","price":35749.99,"currency_code":"INR","in_stock":true},{"title":"with Jetson Nano 4GB B01 Developer Kit","offer_id":45787964375123,"sku":"ROBO216","price":58199.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/jetracer-ros-ai-kit-2.webp?v=1783322562"},{"product_id":"hiwonder-rospug-quadruped-bionic-robot-dog-powered-by-jetson-nano-ros-open-source-python-programming","title":"Hiwonder ROSPug Quadruped Bionic Robot Dog Powered by Jetson Nano ROS Open Source Python Programming","description":"\u003cdiv\u003e\u003cimg class=\"mainImg pc\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/0_9cbff642-e43f-4f56-a097-11d556e91cee.jpg?v=1746843108\"\u003e\u003c\/div\u003e\n\u003cp\u003eHiwonder ROSPug is smart quadruped robot dog built upon Robot Operating System (ROS). It is equipped with 12 high-voltage strong-magnetic serial bus servos and integrates a range of high-performance components, including NVIDIA Jetson Nano controller, TOF Lidar, HD camera, IMU sensor, OLED display, and more. Featuring self-developed dynamic balancing kinematics algorithm, it can switch seamlessly between multiple gaits.\u003c\/p\u003e\n\u003cp\u003eROSPug supports Gazebo simulation, providing users with a valuable platform to learn and validate quadruped kinematics algorithms and path planning. Thanks to the robust computing power of its controller, ROSPug can perform tasks such as SLAM mapping navigation, path planning, dynamic obstacle avoidance, climbing, obstacle bypassing, and many other applications. We also offer solutions for expansion of ROSPug's capabilities, including deep learning, machine vision, and other development projects to meet users' specific needs.\u003c\/p\u003e\n\u003cdiv\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug2.png?v=1699186341\"\u003e\u003c\/div\u003e\n\u003ch2\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug3.png?v=1699186706\" alt=\"\"\u003e\u003c\/div\u003e\n\u003ch2\u003e \u003c\/h2\u003e\n\u003ch2\u003eOriginal Appearance, Innovative Design\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003ch2\u003e12 DOF Aluminium Alloy Structure\u003c\/h2\u003e\n\u003cp\u003eROSPug employs 12 high-performance servos, distributed across its elbow, shoulder, and hip joints of each leg, closely mimicking the post of a real quadruped animal. Its entire body is crafted from aluminum alloy, with the calf joint reinforced by metal bearings, ensuring both low weight and high strength.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug4.png?v=1699190016\"\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\"\u003e\n\u003ch2\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug5.png?v=1699190031\"\u003e\u003c\/h2\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003ch2\u003eLink Structure  Enhanced Joint Efficiency\u003c\/h2\u003e\n\u003cp\u003eROSPug features a link structure design that enhances the speed of the calf joint and ensures smooth motion without interference, thereby extending the leg's rotation range.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eInverse Kinematics - GAIT Planning\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003ch3\u003e1. Support Walk, Amble and Trot Gaits\u003c\/h3\u003e\n\u003cp\u003eWalk, Amble, and Trot gaits can be achieved by fine-tuning the touchdown time, lift time, lifted height of each leg, and the timing of switching between front and hind legs.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug6.png?v=1699192328\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch3\u003e2. Link Inverse Kinematics\u003c\/h3\u003e\n\u003cp\u003eROSPug comes with a visual PC software for action editing, allowing users to define end coordinates for each leg. The robot then employs an inverse kinematics algorithm to calculate angles of each servo, creating a motion profile that enables its feet to reach the desired target locations.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug7.png?v=1699193679\" alt=\"\"\u003e\u003c\/div\u003e\n\u003ch3\u003e \u003c\/h3\u003e\n\u003cdiv\u003e\n\u003ch3\u003e3. Adjustable Walking Height, Speed and Pose\u003c\/h3\u003e\n\u003cp\u003eROSPug's height, inclination, pitch angle and roll angle can be freely adjusted. Users can collectively adjust these variables to achieve both walking and turning motions.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug8.png?v=1699193809\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e \u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch4\u003e4. Multi-pose Overlaid Motion\u003c\/h4\u003e\n\u003cp\u003eROSPug can combine various gaits within motion. Its height and inclination can be dynamically adjusted while in motion, and it can execute turns while walking. Users have the flexibility to collectively fine-tune these parameters.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug9.png?v=1699194188\" alt=\"\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch3\u003e \u003c\/h3\u003e\n\u003ch3\u003e5. Provide Inverse Kinematics Function \u0026amp; Debugging Software\u003c\/h3\u003e\n\u003cp\u003eTo support users in exploring ROSPug's capabilities, we offer detailed quadruped kinematics analysis, ROS-based inverse kinematics functions, and parameter debugging software. These resources will facilitate your research in robotic kinematics and streamline the development process.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug10.png?v=1699194373\" alt=\"\"\u003e\u003c\/div\u003e\n\u003ch2\u003e \u003c\/h2\u003e\n\u003ch2\u003eBuilt-in IMU Pose Sensor\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003ch4\u003ePose Self-balancing with IMU\u003c\/h4\u003e\n\u003cp\u003eROSPug integrates an IMU sensor capable of real-time pose monitoring and data acquisition for closed-loop control. Regardless of the plane's inclination, ROSPug can promptly adjust its joints to maintain balance.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug11.png?v=1699194703\"\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug12.png?v=1699194757\"\u003e\u003c\/td\u003e\n\u003ctd\u003e\n\u003ch4\u003eYaw Angle Correction with IMU\u003c\/h4\u003e\n\u003cp\u003eWhen ROSPug's yaw angle changes due to external forces during motion, its internal algorithm will automatically adjust the speed of ROSPug's feet to restore it to the initial value.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv\u003e\n\u003ch2\u003eLidar for SLAM Mapping Navigation\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cp\u003eROSPug is equipped with TOF Lidar that scans the environment in a 360-degree manner using laser. This enables advanced functions such as mapping navigation, path planning, dynamic obstacle avoidance, and various other SLAM-based applications. Furthermore, it can utilize Lidar for engaging in intriguing tasks, including Lidar tracking and Lidar guarding.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug13.png?v=1699195214\" alt=\"\"\u003e\u003c\/p\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\"\u003e\n\u003ch3\u003eLidar Mapping Navigation\u003c\/h3\u003e\n\u003cdiv\u003e\n\u003cp\u003eTOF Lidar employs mapping algorithms such as Gmapping, Hector, Karto, and others for mapping purposes. Additionally, it supports fixed-point navigation, multi-point navigation, and TEB path planning.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug14.png?v=1699196045\" alt=\"\"\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\"\u003e\n\u003ch3\u003eMulti-point Navigation Dynamic Obstacle Avoidance\u003c\/h3\u003e\n\u003cdiv\u003e\n\u003cp\u003eTOF Lidar can detect the surroundings in real-time, allowing ROSPug to dynamically plan paths and avoid obstacles when executing multi-point navigation.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug15_494800d2-ce1e-42de-9574-380711920f43.png?v=1699196295\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003ch3\u003eLidar Guarding\u003c\/h3\u003e\n\u003cp\u003eROSPug utilizes TOF Lidar to scan the secured area. Upon detecting an intruder, it will automatically turn toward the intruder and activate an alarm.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug16.png?v=1699196956\"\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug17.png?v=1699197118\" alt=\"\"\u003e\u003c\/td\u003e\n\u003ctd\u003e\n\u003ch3\u003eLidar Tracking\u003c\/h3\u003e\n\u003cp\u003eROSPug can work with Lidar to scan and subsequently track a moving target ahead.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e \u003c\/h2\u003e\n\u003ch2\u003eVision-guided Recognition \u0026amp; Tracking\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cp\u003eROSPug’s head is loaded with an HD wide-angle camera, enabling it to recognize and locate targets for a wide array of engaging AI games. These include activities like color recognition, autonomous navigation, tag recognition, KCF target tracking, and various others.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug18.png?v=1699485112\"\u003e\u003c\/div\u003e\n\u003ch2\u003e \u003c\/h2\u003e\n\u003ch2\u003eEnhanced Motion Performance, Upgraded Technology\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\"\u003e \u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug19.png?v=1699485823\"\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003ch3\u003eAutonomous PID Line Following\u003c\/h3\u003e\n\u003cp\u003eBy utilizing the PID algorithm for computation and employing camera-based recognition, ROSPug can change its gait to successfully follow the line.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003ch3\u003eLow Clearance Passage\u003c\/h3\u003e\n\u003cp\u003eBy identifying the door's height and location, ROSPug adjusts its own height to navigate across it.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug20.png?v=1699485841\" alt=\"\"\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug21.png?v=1699485858\" alt=\"\"\u003e\u003c\/td\u003e\n\u003ctd\u003e\n\u003ch3\u003eStairs Climbing\u003c\/h3\u003e\n\u003cp\u003eROSPug excels in using its vision to accurately detect stairs ahead, enabling it to navigate both ascending and descending stairs.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003ch3\u003eBall Shooting\u003c\/h3\u003e\n\u003cp\u003eROSPug utilizes OpenCV to determine ball's position and employs a PID algorithm for real-time ball tracking. This approach allows it to fine-tune its gait to achieve accurate ball shooting, considering the distance from the target and the target's location.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug22.png?v=1699485875\" alt=\"\"\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e \u003c\/h2\u003e\n\u003ch2\u003eMediaPipe Development  Action Capturing\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cp\u003eDeveloped upon MediaPipe algorithm, ROSPug can identify human body features, facilitating interactions such as face detection, emotion recognition, gesture recognition, and human body recognition, among others.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug23.png?v=1699486726\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eCross-Platform Remote Control\u003c\/h2\u003e\n\u003ch3\u003eApp Control (Android \/ iOS)\u003c\/h3\u003e\n\u003cdiv\u003e\n\u003cp\u003eThe app is compatible with both iOS and Android systems, offering a wide range of AI games and live first-person-view camera feeds.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug24.png?v=1699487041\"\u003e\u003c\/div\u003e\n\u003ch2\u003e \u003c\/h2\u003e\n\u003ch2\u003eAction Group Editing Software\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003ch3\u003eDebug Action on PC Software -\u0026gt; Save it to control panel -\u0026gt; Control terminal configures control command\u003c\/h3\u003e\n\u003cp\u003eUsing Graphical PC software, you can effortlessly control servos and customise actions by simply dragging sliders, without the need for programming\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug25.png?v=1699487479\" alt=\"\"\u003e\u003c\/p\u003e\n\u003ch2\u003e \u003c\/h2\u003e\n\u003ch2\u003e Hardware Highlight\u003c\/h2\u003e\n\u003cp\u003e \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug26.webp?v=1699492348\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug27.webp?v=1699493629\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug28.webp?v=1699493781\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug29.webp?v=1699493854\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug30.webp?v=1699493973\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug31.webp?v=1699494095\"\u003e\u003c\/p\u003e\n\u003ch2\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug32_bf7ecc67-c210-4cf7-a57b-39dd9613d385.webp?v=1699495479\" alt=\"\"\u003e\u003c\/h2\u003e\n\u003ch2\u003e \u003c\/h2\u003e\n\u003ch2\u003eROS Robot Operating System \u003c\/h2\u003e\n\u003ch4\u003e\u003cspan\u003eGlobal Popular Robotic Communication Framework\u003c\/span\u003e\u003c\/h4\u003e\n\u003cdiv\u003e\n\u003cp\u003eROS is an open-source meta operating system for robots. It provides some basic services, such as hardware abstraction, low level device control, implementation of commonly used functionality, message-passing between processes, and package management. And it also offers the tools and library functions needed to obtain, compile, write and run code across computers. It aims at providing code reuse support for robotic research and development.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cp\u003e \u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug33.webp?v=1699495875\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eGazebo Simulation\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cp\u003eROSPug utilizes the ROS framework and offers Gazebo simulation support. Gazebo provides a novel approach for controlling ROSPug and validating algorithms within a simulated environment, reducing the need for physical experiments and enhancing efficiency.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ROSpug34.webp?v=1699496074\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2\u003eROSPug Packing List\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp\u003e\u003cimg class=\"mainImg pc\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/22_fa75b450-4cb2-487f-964b-a603c0a6f13b.jpg?v=1746843906\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"Default Title","offer_id":45788251848787,"sku":"ROBO217","price":172549.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/b8421501ceee8ed8defa49d79fc692df_02186546-f574-49b6-9dea-c003dd05e9d3.webp?v=1783328276"},{"product_id":"jetacker-ros-education-robot-car-with-ackerman-structure-powered-by-jetson-nano","title":"JetAcker ROS Education Robot Car with Ackerman Structure Powered by Jetson Nano","description":"\u003cp\u003e\u003ciframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/GW-PCGL0phY?si=f_ZZo8PT8QFFsS1t\" height=\"315\" width=\"560\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/1_3793a44d-2098-4422-8a42-65fc238c53e4.jpg?v=1718605524\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"descItem\"\u003e\n\u003cp class=\"desc\"\u003eJetAcker is powered by NVIDIA Jetson Nano B01 and supports Robot Operating System (ROS). It leverages mainstream deep learning frameworks, incorporates MediaPipe development, enables YOLO model training, and utilizes TensorRT acceleration. This combination delivers a diverse range of 3D machine vision applications, including autonomous driving, somatosensory interaction, and KCF target tracking. Moreover, with JetAcker, you can learn and validate various robotic SLAM algorithms.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/2.1_21103774-eb3d-4ecd-be2d-2c5a8b5f11f5.jpg?v=1718605582\"\u003e\n\u003ch4\u003eAckerman Steering Structure Pendulum Suspension\u003c\/h4\u003e\n\u003cp\u003eThe rear wheels of the chassis are always in a parallel state. When turning, the inner wheel rotation angle is greater than the outer wheel rotation angle. Steering through the difference in rotation angle of the inner and outer wheels is called Ackermann steering.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/2.2_8bb40b7f-8ac2-49e5-8ba4-85bae8c302ff.jpg?v=1718605618\"\u003e\n\u003ch4\u003eEquipped with Lidar \u0026amp; Supports SLAM Mapping Navigation\u003c\/h4\u003e\n\u003cp\u003eJetAcker is equipped with lidar, which can realize SLAM mapping and navigation, and supports path planning, fixed-point navigation and dynamic obstacle avoidance.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg class=\"a-section-image border\" src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/4.1CNC_f7d56162-cdff-40ee-a452-827698b264e3.jpg?v=1698305831\"\u003e\n\u003ch4\u003eCNC Steering System\u003c\/h4\u003e\n\u003cp class=\"description\"\u003eFull-metal CNC high-precision components combined with strong-bearing intelligent servo provides exceptional rotational force.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg class=\"a-section-image border\" src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/4.2_81611ecf-c4ac-4541-b67a-07d0c5dbd5da.jpg?v=1698305832\"\u003e\n\u003ch4\u003eHigh-density Solid Wheel\u003c\/h4\u003e\n\u003cp class=\"description\"\u003ePayload capacity, deformation resistance, reduced friction coefficient and minimized mechanical wear, resulting in an extended lifespan.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg class=\"a-section-image border\" src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/4.3_213bd6d0-c6b9-4cbd-9aac-5fc7145b0757.jpg?v=1698305831\"\u003e\n\u003ch4\u003ePendulum Suspension Structure\u003c\/h4\u003e\n\u003cp class=\"description\"\u003eHigh-precision pendulum suspension structure balances the force, enabling good adaptability to uneven surfaces while preventing any impact on motor.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg class=\"a-section-image border\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/4.4_35fca1a8-6c70-4ce0-9ca7-ac48fc407cab.jpg?v=1718605671\"\u003e\n\u003ch4\u003e240° High-performance Pan-tilt\u003c\/h4\u003e\n\u003cp class=\"description\"\u003eIt is driven by an serial bus servo which provides over-temperature protection. Its up to 240° rotation range extends JetAcker's exploration ranges.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv class=\"descItem pc\"\u003e\n\u003ch2 class=\"head\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"head\"\u003eFunction List\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/4.1Function-List.jpg?v=1718605723\" class=\"noDesc\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/5.1_91ef8cd6-2ca0-4a66-a1e9-99443830bc12.jpg?v=1718605785\" alt=\"\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"descItem\"\u003e\n\u003ch2 class=\"head\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"head\"\u003e3D Vision AI Upgraded Interaction\u003c\/h2\u003e\n\u003cp class=\"desc\"\u003eJetAcker is equipped with a 3D depth camera, supports 3D vision mapping and navigation, and can obtain 3D point cloud images. Through deep learning, it can realize more AI vision interactive gameplay.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pc\"\u003e\n\u003cimg class=\"img-t\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/3.13D.jpg?v=1718605852\"\u003e\u003cspan\u003e \u003c\/span\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/6.2_88e1707a-a503-4f3d-b0ed-d86b9291b37b.jpg?v=1699589021\" class=\"img-t\"\u003e\u003cspan\u003e \u003c\/span\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/6.3_533c4c39-635d-4e6d-911e-3b8707846414.jpg?v=1699589020\" class=\"img-t\"\u003e\u003cspan\u003e \u003c\/span\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/6.4_af4ca57f-3db3-45f6-98a3-311eb8b835db.jpg?v=1699589020\" class=\"mainImg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/7.1_ef55d6be-7e3f-49c5-9299-63735dc4a879.jpg?v=1718605982\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"descItem\"\u003e\n\u003ch2\u003e \u003c\/h2\u003e\n\u003ch2\u003eMediaPipe Development, Upgraded AI Interaction\u003c\/h2\u003e\n\u003cp\u003eJetAcker utilizes MediaPipe development framework to accomplish various functions, such as human body recognition, fingertip recognition, face detection, and 3D detection.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/8.1MediaPipe4.jpg?v=1699597183\"\u003e\n\u003ch4\u003eFingertip Trajectory Recognition\u003c\/h4\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/8.2MediaPipe3.jpg?v=1699597183\"\u003e\n\u003ch4\u003eHuman Body Recognition\u003c\/h4\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/8.3MediaPipe2.jpg?v=1699597183\"\u003e\n\u003ch4\u003e3D Detection\u003c\/h4\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/8.4MediaPipe1.jpg?v=1699597183\"\u003e\n\u003ch4\u003e3D Face Detection\u003c\/h4\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e \u003c\/h2\u003e\n\u003ch2\u003eAI Vision Interaction\u003c\/h2\u003e\n\u003cp\u003eBy incorporating artificial intelligence, JetAcker can implement KCF target tracking, line following, color\/ tag recognition and tracking, YOLO object recognition and more.\u003c\/p\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/9.1_1.jpg?v=1699597183\"\u003e\n\u003ch4\u003eKCF Target Tracking\u003c\/h4\u003e\n\u003cp\u003eRelying on KCF filtering algorithm, the robot can track the selected target.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/2_8d3b97c0-8224-4ee4-8e35-c92998d3dfda.jpg?v=1698310764\"\u003e\n\u003ch4\u003eVision Line Following\u003c\/h4\u003e\n\u003cp\u003eJetAcker supports custom color selection, and the robot can identify color lines and follow them.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/4.3_20324a3a-1c90-493b-b75f-4e773cbb7bba.jpg?v=1698228834\"\u003e\n\u003ch4\u003eColor\/ Tag Recognition and Tracking\u003c\/h4\u003e\n\u003cp\u003eJetAcker is able to recognize and track the designated color, and can recognize multiple April Tags and their coordinates at the same time.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/4.2_MediaPipe.jpg?v=1698228834\"\u003e\n\u003ch4\u003eYOLO Object Recognition\u003c\/h4\u003e\n\u003cp\u003eUtilize YOLO network algorithm and deep learning model library to recognize the objects.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv class=\"descItem\"\u003e\n\u003ch2 class=\"head\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"head\"\u003e6CH Far-field Microphone Array\u003c\/h2\u003e\n\u003cp class=\"desc\"\u003eThis 6CH far-field microphone array is adroit at far-field sound source localization, voice recognition and voice interaction. In comparison to ordinary microphone module,it can implement more advanced functions.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/10.1_180efaf7-419d-4289-886b-27393f9dc243.jpg?v=1718606046\"\u003e\u003c\/div\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/10.2_1.jpg?v=1699597473\"\u003e\n\u003ch4\u003eSound Source Localization\u003c\/h4\u003e\n\u003cp\u003eThrough the 6-microphone array, high-precision positioning of noise reduction sources is achieved. With radar distance recognition, Hiwonder can be summoned at any location.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/10.3_2.jpg?v=1699597473\"\u003e\n\u003ch4\u003eTTS Voice Broadcast\u003c\/h4\u003e\n\u003cp\u003eThe text content published by ROS can be directly converted into voice broadcast to facilitate interactive design.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/10.4_3.jpg?v=1699597472\"\u003e\n\u003ch4\u003eVoice Interaction\u003c\/h4\u003e\n\u003cp\u003eSpeech recognition and TTS voice broadcast are combined to realize voice interaction and support the expansion of iFlytek's online voice conversation function.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/10.5_4.jpg?v=1699597472\"\u003e\n\u003ch4\u003eVoice Navigation\u003c\/h4\u003e\n\u003cp\u003eUse voice commands to control Hiwonder to reach any designated location on the map, similar to the voice control scenario of a food delivery robot.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/11.1_b89c7f95-c5c7-400d-aa8b-9ec1459ae222.jpg?v=1699597476\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"descItem\"\u003e\n\u003ch2 class=\"head\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"head\"\u003eROS Robot Operating System\u003c\/h2\u003e\n\u003ch4 class=\"stress-head\"\u003e\u003cspan\u003eGlobal Popular Robotic Communication Framework\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp class=\"desc\"\u003eROS is an open-source meta operating system for robots. It provides some basic services, such as hardware abstraction, low-level device control, implementation of commonly used functionality, message-passing between processes, and package management. And it also offers the tools and library functions needed to obtain, compile, write, and run code across computers. It aims at providing code reuse support for robotics research and development.\u003c\/p\u003e\n\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/Copy-3_3x_0b9e93ba-0984-4459-87e7-ed76b1650c4a.png?v=1652954175\" class=\"downImg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"descItem\"\u003e\n\u003ch2 class=\"head\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"head\"\u003eGazebo Simulation\u003c\/h2\u003e\n\u003cp class=\"desc\"\u003eJetAcker is built on the Robot Operating System (ROS) and integrates with Gazebo simulation. This enables effortless control of the robot in a simulated environment, facilitating algorithm prevalidation to prevent potential errors. Gazebo provides visual data, allowing you to observe the motion trajectories of each endpoint and center. This visual feedback facilitates algorithm enhancement.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/13.1_bf87f66c-5cbb-40ad-a1b9-cac8968de167.jpg?v=1699597648\"\u003e\n\u003ch4\u003eBody Simulation Control\u003c\/h4\u003e\n\u003cp\u003eThrough robot simulation control, algorithm verification of mapping navigation can be carried out to improve the iteration speed of the algorithm and reduce the cost of trial and error.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/13.2_2_64f34975-9f22-455a-8fb2-72d8a049c879.jpg?v=1699597648\"\u003e\n\u003ch4\u003eRviz Shows URDF Model\u003c\/h4\u003e\n\u003cp\u003eProvide an accurate URDF model, and observe the mapping navigation effect through the Rviz visualization tool to facilitate debugging and improving algorithms.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/14.1_feefd5a3-8e4f-47d8-b760-d534dd7f0444.jpg?v=1699597662\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cspan\u003e \u003c\/span\u003e\u003c\/p\u003e\n\u003cdiv\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/15.1_5e2cddba-c00b-434f-ad82-af280cb8ce6e.jpg?v=1718606286\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"pc\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/16.1_35e8a115-58fe-4951-87c1-e750d87976ed.jpg?v=1718606379\" class=\"mainImg\"\u003e\u003cspan\u003e \u003c\/span\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/16.2.jpg?v=1718606418\" class=\"mainImg\"\u003e\u003cspan\u003e \u003c\/span\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/16.3_5fa0724c-a00a-4f70-bfa8-9f69dd8579b1.jpg?v=1718606447\" class=\"mainImg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"titimg\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/17.1.1.jpg?v=1699597651\"\u003e\u003c\/div\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg class=\"a-section-image border\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/17.1_761ba52b-ff07-49ae-bf7c-916e0fe08dce.jpg?v=1699598005\"\u003e\n\u003ch4\u003eWrapped Rear Tail Shell\u003c\/h4\u003e\n\u003cp class=\"description\"\u003eIt can effectively protect the PCB circuit and magnetic ring at the end of the motor from external influences, effectively improving the safety and service life of the motor.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg class=\"a-section-image border\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/17.2_3.jpg?v=1699598006\"\u003e\n\u003ch4\u003ePermanent Magnet Brushed Motor\u003c\/h4\u003e\n\u003cp class=\"description\"\u003eThe permanent magnet DC motor has fast starting response speed, large starting torque and smooth speed change.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg class=\"a-section-image border\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/17.3_2.jpg?v=1699598006\"\u003e\n\u003ch4\u003eHigh-precision Magnetic Encoder\u003c\/h4\u003e\n\u003cp class=\"description\"\u003eThe motor is equipped with a high-precision magnetic encoder, has strong horsepower, high precision, and strong anti-interference ability.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg class=\"a-section-image border\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/17.4_1.jpg?v=1699598005\"\u003e\n\u003ch4\u003eAdapt to Various Scenes\u003c\/h4\u003e\n\u003cp class=\"description\"\u003eThe low speed of 1:90 ratio and the high torque of 15kg.cm enable the motor to adapt to car chassis made of various materials.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/18.1.jpg?v=1699598002\"\u003e\n\u003ch4\u003eHall Encoder Geared Motor\u003c\/h4\u003e\n\u003cp\u003e520 motor comes with high-accuracy encoder, and features strong force and high performance. The built-in AB phase incremental Hall encoder stands out for its high accuracy and anti-interference ability.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/18.2.jpg?v=1699598003\"\u003e\n\u003ch4\u003eAckermann Wheel\u003c\/h4\u003e\n\u003cp\u003eIt has the advantages of high load and no deformation, which prevents the tire from falling due to overweight of the vehicle body, effectively reduces the friction coefficient and mechanical loss, and extends the tire life.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/19.1_a19c476c-7853-48f6-befb-9842c18b2f5c.jpg?v=1699598022\"\u003e\u003c\/div\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/e5511e8b116c514f055aa900135e2e5a.jpg?v=1718606707\"\u003e\n\u003ch4\u003eMulti-functional Expansion Board\u003c\/h4\u003e\n\u003cp\u003eThe expansion board has a built-in IMU sensor which can detects robot posture in real time. There are 2-channel PWM, two keys, a LED, a buzzer, 9-channel serial bus servo interface, two GPIO expansion ports and two IIC interfaces on it.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/20.2.jpg?v=1699598023\"\u003e\n\u003ch4\u003eLithium Battery Parameters\u003c\/h4\u003e\n\u003cp\u003eThe fuselage has a built-in 11.1V 6000mAh large-capacity lithium battery to improve the robot's endurance.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e\u003cimg class=\"mainImg\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/21_3a5cfa90-7f4b-4aac-bad0-62f1697fa5e9.jpg?v=1699598138\"\u003e\u003cspan\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ctable class=\"apm-tablemodule-table\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n\u003ctbody\u003e\n\u003ctr class=\"apm-tablemodule-imagerows\"\u003e\n\u003cth class=\"apm-tablemodule-blankkeyhead\"\u003e\u003c\/th\u003e\n\u003cth class=\"apm-tablemodule-image\"\u003e\u003ca href=\"https:\/\/thinkrobotics.com\/products\/jettank-ros-robot-tank-powered-by-jetson-nano\"\u003e\u003cimg alt=\"JetTank\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetTank.jpg?v=1699598398\" width=\"148.0px\"\u003e\u003c\/a\u003e\u003c\/th\u003e\n\u003cth class=\"apm-tablemodule-image\"\u003e\u003ca href=\"https:\/\/thinkrobotics.com\/products\/jetacker-ros-education-robot-car-with-ackerman-structure-powered-by-jetson-nano\"\u003e\u003cimg alt=\"JetAcker\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetAcker_0a99d10b-ae01-4392-a4f1-a2cb9813f1ec.jpg?v=1699598398\" width=\"148.0px\"\u003e\u003c\/a\u003e\u003c\/th\u003e\n\u003cth class=\"apm-tablemodule-image\"\u003e\u003ca href=\"https:\/\/thinkrobotics.com\/products\/jetauto-ros-robot-for-jetson-nano\"\u003e\u003cimg alt=\"JetAuto\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetAuto_fdbcff7c-406a-47a1-ae76-cdb8fd99814e.jpg?v=1699598398\" width=\"148.0px\"\u003e\u003c\/a\u003e\u003c\/th\u003e\n\u003cth class=\"apm-tablemodule-image\"\u003e\u003ca href=\"https:\/\/thinkrobotics.com\/products\/jetauto-pro-ros-robot-for-jetson-nano\"\u003e\u003cimg alt=\"JetAuto Pro\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetAuto-Pro_3f21ee55-e0e1-493f-b5ec-40afc54d1119.jpg?v=1699598398\" width=\"148.0px\"\u003e\u003c\/a\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"apm-tablemodule-imagerows\"\u003e\n\u003cth class=\"apm-tablemodule-blankkeyhead\"\u003e\u003c\/th\u003e\n\u003cth\u003e\u003ca href=\"https:\/\/thinkrobotics.com\/products\/jettank-ros-robot-tank-powered-by-jetson-nano\"\u003eJetTank\u003c\/a\u003e\u003c\/th\u003e\n\u003cth\u003e\u003ca href=\"https:\/\/thinkrobotics.com\/products\/jetacker-ros-education-robot-car-with-ackerman-structure-powered-by-jetson-nano\"\u003eJetAcker\u003c\/a\u003e\u003c\/th\u003e\n\u003cth\u003e\u003ca href=\"https:\/\/thinkrobotics.com\/products\/jetauto-ros-robot-for-jetson-nano\"\u003eJetAuto\u003c\/a\u003e\u003c\/th\u003e\n\u003cth\u003e\u003ca href=\"https:\/\/thinkrobotics.com\/products\/jetauto-pro-ros-robot-for-jetson-nano\"\u003eJetAuto Pro\u003c\/a\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"apm-tablemodule-keyvalue\"\u003e\n\u003cth class=\"apm-tablemodule-keyhead\"\u003e\u003cspan class=\"a-color-secondary\"\u003eChassis\u003c\/span\u003e\u003c\/th\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eTracked chassis\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eAckerman steering structure\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003ePendulum suspension chassis\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003ePendulum suspension chassis\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"apm-tablemodule-keyvalue\"\u003e\n\u003cth class=\"apm-tablemodule-keyhead\"\u003e\u003cspan class=\"a-color-secondary\"\u003eWheel\u003c\/span\u003e\u003c\/th\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eNylon track\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e100mm Solid rubber wheel\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e97mm Mecanum wheel\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e97mm Mecanum wheel\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"apm-tablemodule-keyvalue\"\u003e\n\u003cth class=\"apm-tablemodule-keyhead\"\u003e\u003cspan class=\"a-color-secondary\"\u003eMotor\u003c\/span\u003e\u003c\/th\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e520 Motor*2\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e520 Motor*2\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e520 Motor*4\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e520 Motor*4\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"apm-tablemodule-keyvalue\"\u003e\n\u003cth class=\"apm-tablemodule-keyhead\"\u003e\u003cspan class=\"a-color-secondary\"\u003eServo\u003c\/span\u003e\u003c\/th\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eIntelligent servo*1\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eIntelligent servo*2\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eIntelligent servo*1\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eIntelligent servo*5\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"apm-tablemodule-keyvalue\"\u003e\n\u003cth class=\"apm-tablemodule-keyhead\"\u003e\u003cspan class=\"a-color-secondary\"\u003eCamera\u003c\/span\u003e\u003c\/th\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eAstra Pro Plus depth camera\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eAstra Pro Plus depth camera\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eAstra Pro Plus depth camera\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eAstra Pro Plus depth camera and monocular camera\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"apm-tablemodule-keyvalue\"\u003e\n\u003cth class=\"apm-tablemodule-keyhead\"\u003e\u003cspan class=\"a-color-secondary\"\u003eWheel\u003c\/span\u003e\u003c\/th\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eNylon track\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e100mm Solid rubber wheel\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e97mm Mecanum wheel\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e97mm Mecanum wheel\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"apm-tablemodule-keyvalue\"\u003e\n\u003cth class=\"apm-tablemodule-keyhead\"\u003e\u003cspan class=\"a-color-secondary\"\u003eLidar\u003c\/span\u003e\u003c\/th\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\" colspan=\"4\"\u003e\u003cspan class=\"a-size-base\"\u003e\u003ca href=\"https:\/\/www.hiwonder.com\/products\/lidar-a1-a2\"\u003eSLAMTEC A1\u003c\/a\u003e\/\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/www.hiwonder.com\/products\/ydlidar-g4?variant=40019309297751\"\u003eEAI G4\u003c\/a\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"apm-tablemodule-keyvalue\"\u003e\n\u003cth class=\"apm-tablemodule-keyhead\"\u003e\u003cspan class=\"a-color-secondary\"\u003eRobot Arm\u003c\/span\u003e\u003c\/th\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e\/\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e\/\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e\/\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eMonocular vision robotic arm\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"apm-tablemodule-keyvalue\"\u003e\n\u003cth class=\"apm-tablemodule-keyhead\"\u003e\u003cspan class=\"a-color-secondary\"\u003eFeatures\u003c\/span\u003e\u003c\/th\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eROS in-depth development Able to overcome obstacles\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eAutonomous driving research\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003ePendulum suspension for stable driving 360° omnidirectional movement\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eGrabbing and transporting\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e \u003c\/h2\u003e\n\u003ch2\u003eSpecification Parameters\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003ctable class=\"a-bordered noBottomBorder\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eSize:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e316*259*242mm\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eWeight:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e4.8kg\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eMaterial:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eFull-metal hard aluminum alloy bracket\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eBattery:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e11.1V 6000mAh Lipo battery\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eContinuous working life:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e90min\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eHardware:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eROS controller and ROS expansion board\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eOperating system:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eUbuntu 18.04 LTS + ROS Melodic\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eSoftware:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eiOS\/ Android app\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eCommunication:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eUSB\/ WiFi\/ Ethernet\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eProgramming language:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003ePython\/ C\/ C++\/ JavaScript\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eStorage:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e32GB TF card\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eServo:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eHTS-20H serial bus servo\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eControl method:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003ePhone\/ Handle control\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003ePackage size (advanced kit):\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e38*31*23cm\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003ePackage weight (advanced kit):\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eAbout 5kg\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch4\u003eProduct Parameters\u003c\/h4\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/22.2_d0866fa9-8230-48a1-b40d-fabc09c0888d.jpg?v=1718606500\"\u003e\n\u003ch4\u003eDimensional Diagram\u003c\/h4\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/23.1.jpg?v=1699599316\"\u003e\n\u003ch4\u003eSLAMTEC A1 Lidar Parameters\u003c\/h4\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/23.2G4.jpg?v=1699599316\"\u003e\n\u003ch4\u003eEAI G4 Lidar Parameters\u003c\/h4\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/24.1.jpg?v=1699599316\"\u003e\n\u003ch4\u003eDepth Camera Parameters\u003c\/h4\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/24.2.jpg?v=1718606576\"\u003e\n\u003ch4\u003e6CH Far-Field Microphone Array Parameters\u003c\/h4\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/25.1.jpg?v=1699599315\"\u003e\n\u003ch4\u003e7-inch LCD Screen Parameters\u003c\/h4\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/25.2.jpg?v=1699599316\"\u003e\n\u003ch4\u003eHTS-20H Servo Parameters\u003c\/h4\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv class=\"descItem\"\u003e\n\u003ch2 class=\"head\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"head\"\u003eAbundant Learning Materials\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/26_7e374da6-cecf-4958-9258-d94c9f591042.jpg?v=1699599471\" class=\"noDesc\"\u003e\n\u003c\/div\u003e\n\u003ch2 class=\"Packing-head-x\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"Packing-head-x\"\u003eJetAcker Starter Packing List\u003c\/h2\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/46__01.webp?v=1763374446\" alt=\"\"\u003e\u003c\/div\u003e\n\u003ch2 class=\"Packing-head-x\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"Packing-head-x\"\u003eJetAcker Standard Packing List\u003c\/h2\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/47__02.webp?v=1763374446\" alt=\"\"\u003e\u003c\/div\u003e\n\u003ch2 class=\"Packing-head-x\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"Packing-head-x\"\u003eJetAcker Advanced Packing List\u003c\/h2\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/48__03.webp?v=1763374391\" alt=\"\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2\u003eJetAcker Ultimate Packing List\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/49__04_1.webp?v=1763374319\" alt=\"\"\u003e\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"Starter (A1) \/ RPi 5 8GB","offer_id":45788403957843,"sku":"ROBO218","price":97749.99,"currency_code":"INR","in_stock":true},{"title":"Starter (A1) \/ Orin Nano 8GB","offer_id":45788403990611,"sku":"ROBO219","price":144799.99,"currency_code":"INR","in_stock":true},{"title":"Standard (A1) \/ RPi 5 8GB","offer_id":45788404023379,"sku":"ROBO220","price":126949.99,"currency_code":"INR","in_stock":true},{"title":"Standard (A1) \/ Orin Nano 8GB","offer_id":45788404056147,"sku":"ROBO221","price":173999.99,"currency_code":"INR","in_stock":true},{"title":"Advance (A1) \/ RPi 5 8GB","offer_id":45788404088915,"sku":"ROBO222","price":158049.99,"currency_code":"INR","in_stock":true},{"title":"Advance (A1) \/ Orin Nano 8GB","offer_id":45788404121683,"sku":"ROBO223","price":205049.99,"currency_code":"INR","in_stock":true},{"title":"Ultimate (EA1 G4) \/ RPi 5 8GB","offer_id":45788404154451,"sku":"ROBO224","price":178749.99,"currency_code":"INR","in_stock":true},{"title":"Ultimate (EA1 G4) \/ Orin Nano 8GB","offer_id":45788404187219,"sku":"ROBO225","price":225799.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/JetAcker1.webp?v=1783328558"},{"product_id":"jetson-nano-mini-computer","title":"Jetson Nano Mini Computer","description":"\u003cdiv class=\"pdT\"\u003e\n\u003ch1 class=\"richTitle hilitColor\"\u003eJetson Nano Mini-Computer\u003c\/h1\u003e\n\u003cspan\u003e \u003c\/span\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-NANO-MINI\/JETSON-NANO-MINI-details-1.jpg\"\u003e\n\u003cdiv class=\"alignl bgGrey\"\u003e\n\u003cp\u003eBased on\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-nano-module.htm\" target=\"_blank\"\u003eJetson Nano Module\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003e(fully built), provides a variety of peripheral interfaces such as USB connectors, Ethernet port, HDMI port, CSI, GPIO, I2C, and RS485 interfaces. Onboard M.2 B KEY slot with adapter board for installing WiFi or 4G module (choose one of two), with metal case, suitable for various AI applications.   \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003eBase Board Comparison\u003c\/h2\u003e\n\u003cbr\u003e\n\u003ctable class=\"tabSty-2 subBlock alignc\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eMODEL\u003c\/th\u003e\n\u003ctd\u003e\u003cstrong\u003eJETSON-IO-BASE-A\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eJETSON-IO-BASE-LITE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eJETSON NANO MINI\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003e\u003cstrong\u003eUSB CONNECTORS\u003c\/strong\u003e\u003c\/th\u003e\n\u003ctd\u003e4 × USB 3.2 Gen 1 Type-A\u003cbr\u003e1 × USB 2.0 Micro-B\u003c\/td\u003e\n\u003ctd\u003e1 × USB 3.2 Gen 1 Type-A\u003cbr\u003e2 × USB 2.0 Type-A\u003cbr\u003e1 × USB 2.0 Micro-B\u003c\/td\u003e\n\u003ctd\u003e1 × USB 3.2 Gen 1 Type-A\u003cbr\u003e1 × USB 2.0 Type-A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003e\u003cstrong\u003eETHERNET PORT\u003c\/strong\u003e\u003c\/th\u003e\n\u003ctd class=\"hilitColor\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"hilitColor\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"hilitColor\"\u003e√\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003e\u003cstrong\u003eHDMI PORT\u003c\/strong\u003e\u003c\/th\u003e\n\u003ctd class=\"hilitColor\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"hilitColor\"\u003e√\u003c\/td\u003e\n\u003ctd class=\"hilitColor\"\u003e√\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003e\u003cstrong\u003eDP PORT\u003c\/strong\u003e\u003c\/th\u003e\n\u003ctd class=\"hilitColor\"\u003e√\u003c\/td\u003e\n\u003ctd\u003e-\u003c\/td\u003e\n\u003ctd\u003e-\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003e\u003cstrong\u003eCSI INTERFACE\u003c\/strong\u003e\u003c\/th\u003e\n\u003ctd\u003e× 2\u003c\/td\u003e\n\u003ctd\u003e× 1\u003c\/td\u003e\n\u003ctd\u003e× 2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003e\u003cstrong\u003ePOWER PORT\u003c\/strong\u003e\u003c\/th\u003e\n\u003ctd\u003eDC \u003c\/td\u003e\n\u003ctd\u003eUSB Type-C \u003c\/td\u003e\n\u003ctd\u003eDC\/USB Type-C \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003e\u003cstrong\u003eBUTTON\u003c\/strong\u003e\u003c\/th\u003e\n\u003ctd\u003e-\u003c\/td\u003e\n\u003ctd\u003ePower: PWR BTN\u003cbr\u003eReset: SYS RST\u003c\/td\u003e\n\u003ctd\u003ePower button, user button\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle hilitColor\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle hilitColor\"\u003eBased on Jetson Nano Module\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-NANO-MINI\/JETSON-NANO-MINI-details-3.jpg\"\u003e\n\u003cdiv class=\"note\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle hilitColor\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle hilitColor\"\u003eConnecting To Cameras\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003eSupports CSI Cameras For AI Applications Such As Facial Recognition, Road Sign Detection And License Plate Recognition\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-NANO-MINI\/JETSON-NANO-MINI-details-5.jpg\"\u003e\n\u003cdiv class=\"note\"\u003e\u003cem\u003e\u003cspan\u003e* for reference only, the \u003ca href=\"https:\/\/www.waveshare.com\/imx219-83-stereo-camera.htm\" target=\"_blank\"\u003ebinocular camera\u003c\/a\u003e is NOT included\u003c\/span\u003e\u003c\/em\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle hilitColor\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle hilitColor\"\u003e4K HD Output\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003eSupports HDMI High Definition Port\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-NANO-MINI\/JETSON-NANO-MINI-details-7.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle hilitColor\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle hilitColor\"\u003eOnboard Multiple Interfaces\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-NANO-MINI\/JETSON-NANO-MINI-details-9.jpg\"\u003e\u003cspan\u003e \u003c\/span\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-NANO-MINI\/JETSON-NANO-MINI-details-11.jpg\"\u003e\n\u003c\/div\u003e\n\u003cp\u003e  \u003c\/p\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle hilitColor\"\u003eOnboard M.2 B KEY Slot\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003eComes With Adapter Board, Supports Installing WiFi Or 4G Module (Choose One Of Two)\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-NANO-MINI\/JETSON-NANO-MINI-details-12-1.jpg\"\u003e\n\u003cdiv class=\"shdwImg\"\u003e\n\u003cdiv class=\"richGridWrap richGridWrap-2c richGridWrap-valignTop mgnTB\"\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-NANO-MINI\/JETSON-NANO-MINI-details-12-2.jpg\"\u003e\n\u003cp\u003e\u003cstrong\u003eConnect to\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wireless-ac8265.htm\" target=\"_blank\"\u003eWiFi module\u003c\/a\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-NANO-MINI\/JETSON-NANO-MINI-details-12-3.jpg\"\u003e\n\u003cp\u003e\u003cstrong\u003eConnect to\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/www.waveshare.com\/sim7600x-h-pcie.htm\" target=\"_blank\"\u003e4G module\u003c\/a\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp class=\"note\"\u003e\u003cspan\u003e\u003cem\u003e* for reference only, please refer to the Package Content for detailed part list\u003c\/em\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2\u003e \u003c\/h2\u003e\n\u003ch2\u003eRail-Mount Support\u003cbr\u003e\n\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cp class=\"richDesc\"\u003eWith Mounting Holes On The Bottom For Installing Rail Buckle,\u003cbr\u003eEasy To Install The Mini-Computer On The Rail\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-NANO-MINI\/JETSON-NANO-MINI-details-14.jpg\"\u003e\n\u003cdiv class=\"note\"\u003e\u003cspan\u003e\u003cem\u003e* for reference only, the rail buckle is NOT included\u003c\/em\u003e\u003c\/span\u003e\u003c\/div\u003e\n\u003cdiv\u003e \u003c\/div\u003e\n\u003c\/div\u003e\n \u003cbr\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle hilitColor\"\u003eWhat's On Board\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-NANO-MINI\/JETSON-NANO-MINI-details-15.jpg\"\u003e\n\u003cdiv class=\"richGridWrap richGridWrap-valignTop richGridWrap-2c alignl subBlock bgGrey\"\u003e\n\u003cdiv\u003e\n\u003col\u003e\n\u003cli\u003e\n\u003cstrong\u003eModule socket\u003c\/strong\u003e\u003cbr\u003efor connecting with Jetson Nano module\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePower button and Power LED\u003c\/strong\u003e\u003cbr\u003efor power ON\/OFF control and indicating module status\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUser button and user LED\u003c\/strong\u003e\u003cbr\u003euser-defined button and LED \u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003col start=\"4\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eType-C interface\u003c\/strong\u003e\u003cbr\u003efor power supply, programming, and debugging\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e2.54mm fan header\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eMulti-function pins header\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-NANO-MINI\/JETSON-NANO-MINI-details-17.jpg\"\u003e\n\u003cdiv class=\"richGridWrap richGridWrap-valignTop richGridWrap-2c alignl subBlock bgGrey\"\u003e\n\u003cdiv\u003e\n\u003col start=\"7\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eGigabit Ethernet Port\u003c\/strong\u003e\u003cbr\u003e10\/100\/1000Base-T auto-negotiation, does not support PoE\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUSB Type-A connectors\u003c\/strong\u003e\u003cbr\u003e1 × USB 3.2 Gen 1, 1 × USB 2.0\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eType-C power supply enable\u003c\/strong\u003e\u003cbr\u003eenable via jumper\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHDMI interface\u003c\/strong\u003e\u003cbr\u003esupports 4K output\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eTF card slot\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eMIPI CSI interface 1\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSIM card slot\u003c\/strong\u003e\u003cbr\u003eonly available when installing a 4G module\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eMIPI CSI interface 0\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003emini PCIe socket\u003c\/strong\u003e\u003cbr\u003efor connecting 4G module or adapter board, supports USB2.0 and PCIex1\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-NANO-MINI\/JETSON-NANO-MINI-details-19.jpg\"\u003e\n\u003cdiv class=\"richGridWrap richGridWrap-valignTop richGridWrap-2c alignl subBlock bgGrey\"\u003e\n\u003cdiv\u003e\n\u003col start=\"16\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eDC power terminal\u003c\/strong\u003e\u003cbr\u003eSupports 9~36v power supply\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eRS485 terminal\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eGPIO header\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRTC battery holder\u003c\/strong\u003e\u003cbr\u003eSupports CR1220 button cell\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDC power jack\u003c\/strong\u003e\u003cbr\u003eSupports 9~36V power supply, comes with 12V power adapter\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e \u003c\/div\u003e\n\u003cdiv\u003e  \u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle hilitColor\"\u003eOutline Dimensions\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-NANO-MINI\/JETSON-NANO-MINI-details-size.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003eResources\u003c\/h2\u003e\n\u003cdiv class=\"bgGrey\"\u003e\n\u003cstrong\u003eWiki:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca href=\"http:\/\/www.waveshare.com\/wiki\/JETSON_NANO_MINI\" target=\"_blank\"\u003ewww.waveshare.com\/wiki\/JETSON_NANO_MINI\u003c\/a\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bgGrey\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"bgGrey\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"bgGrey\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"bgGrey\"\u003ePackage Contents:\u003c\/h2\u003e\n\u003cdiv class=\"bgGrey\"\u003e\n\u003cp\u003e\u003cstrong\u003eWeight:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e0.448 kg\u003c\/span\u003e\u003c\/p\u003e\n\u003cdiv class=\"std\"\u003e\n\u003col\u003e\n\u003cli\u003eJETSON NANO MINI x1\u003c\/li\u003e\n\u003cli\u003e12V power supply x1\u003c\/li\u003e\n\u003cli\u003eScrewdriver x1\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-NANO-MINI\/JETSON-NANO-MINI-details-pack.jpg\"\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"Default Title","offer_id":45788488728659,"sku":"ROBO226","price":23549.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/jetson-nano-mini-1_1.webp?v=1783332466"},{"product_id":"rm520n-gl-5g-module-for-jetson-nano","title":"RM520N-GL 5G Module for Jetson Nano","description":"\u003cdiv\u003e\n\u003ch1 class=\"richTitle textUpper\"\u003e5G\/4G\/3G MODULE\u003cspan\u003e \u003c\/span\u003e\u003cspan class=\"hilitBlock\"\u003eFOR JETSON NANO with \u003c\/span\u003eRM520N-GL 5G Module\u003c\/h1\u003e\n\u003ch3 class=\"richDesc\"\u003e\n\u003cspan\u003eSupports 5G\/4G\/3G, Supports 5G SA And NSA,\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003eMulti Mode Multi Band, Applicable For Regions With 5G Sub-6G Signal Coverage\u003c\/span\u003e\n\u003c\/h3\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/SIM8202G-M2-5G-for-Jetson-Nano\/SIM8202G-M2-5G-for-Jetson-Nano-details-1.jpg\"\u003e\n\u003cdiv class=\"alignl subBlock bgGrey\"\u003e\n\u003cp\u003eThis 5G\/4G\/3G Jetson Nano communication module provides options for SIMCom\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e5G module SIM8202G-M2\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eand Quectel\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003e5G module RM520N-GL\u003c\/strong\u003e, supports 5G NSA and SA networking.\u003cbr\u003e\u003cbr\u003eThe base board features standard M2 connector, allows connecting with different 4G or 5G communication module in M2 package. There are also onboard interfaces like USB3.1 port, audio jack, SIM card slot, etc. Combined with our configuration script and development resources, it is easy to enable 5G high speed communication for the Jetson Nano or computer. This 5G module is ideal for fast evaluating 5G modules, as well as being integrated into sorts of applications where 5G connection is required.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003eFeatures\u003c\/h2\u003e\n\u003cdiv class=\"bgGrey alignl subBlock mgnTB\"\u003e\n\u003cul\u003e\n\u003cli\u003eStandard 40PIN GPIO extension header, supports direct attaching to Jetson Nano\u003c\/li\u003e\n\u003cli\u003eOptions for SIM8202G-M2 \/ RM520N-GL core module, with multi mode multi band support\u003c\/li\u003e\n\u003cli\u003e5G\/4G\/3G communication, supports functions like phone call, SMS, cloud communication, etc.\u003c\/li\u003e\n\u003cli\u003eUSB3.1 port for testing AT commands, sending messages, cloud communication, making phone call, getting GNSS positioning data, etc.\u003c\/li\u003e\n\u003cli\u003eSIM card slot, supports 1.8V \/ 3V SIM card\u003c\/li\u003e\n\u003cli\u003e2x LED indicators, easy to monitor the working status\u003c\/li\u003e\n\u003cli\u003eAT command support, based on 3GPP TS 27.007, 27.005 and V.25TER command set\u003c\/li\u003e\n\u003cli\u003eOnboard audio jack and audio decoder, allows audio operation like making phone call\u003c\/li\u003e\n\u003cli\u003eMulti-constellation dual-band positioning: GPS, GLONASS, Beidou, Galileo, and QZSS\u003c\/li\u003e\n\u003cli\u003eOperating system support: Windows\/Linux\/Android\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003eSpecifications\u003c\/h2\u003e\n\u003ctable class=\"tabSty-2 mgnTB subBlock alignl\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003e \u003c\/th\u003e\n\u003cth\u003e\u003cstrong\u003e\u003ca href=\"https:\/\/thinkrobotics.com\/products\/sim8200-m2-simcom-original-5g-module\" target=\"_blank\"\u003eSIM8200EA-M2\u003c\/a\u003e\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth\u003e\u003cstrong\u003eSIM8202G-M2\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth\u003e\u003cstrong\u003e\u003ca href=\"https:\/\/thinkrobotics.com\/products\/quectel-rm5x0n-gl-5g-sub-6g-global-band-module\" target=\"_blank\"\u003eRM520N-GL\u003c\/a\u003e\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"4\"\u003e\u003cstrong\u003eFrequency band\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"2\"\u003eSub-6G\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eSA: n1, n2, n3, n5, n7, n8, n12, n20, n28, n38, n40, n41, n48, n66, n71, n77, n78, n79 (n79 is only available for SIM8202G-M2)\u003c\/td\u003e\n\u003ctd rowspan=\"2\"\u003en1, n2, n3, n5, n7, n8, n12, n13, n14, n18, n20, n25, n26, n28, n29, n30, n38, n40, n41, n48, n66, n70, n71, n75, n76, n77, n78, n79\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\"\u003eNSA: n41, n77, n78, n79 (n79 is only available for SIM8202G-M2)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLTE-FDD\u003c\/td\u003e\n\u003ctd colspan=\"3\"\u003eB1, B2, B3, B4, B5, B7, B8, B12, B13, B14, B17, B18, B19, B20, B25, B26, B28, B29, B30, B32, B66, B71\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLTE-TDD\u003c\/td\u003e\n\u003ctd colspan=\"3\"\u003eB34, B38, B39, B40, B41, B42, B43, B48\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWCDMA\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eB1, B2, B3, B4, B5, B8\u003c\/td\u003e\n\u003ctd\u003eB1, B2, B4, B5, B8, B19\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGNSS\u003c\/td\u003e\n\u003ctd colspan=\"3\"\u003eGPS, GLONASS, Beidou, Galileo, and QZSS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"4\"\u003e\u003cstrong\u003eData rate\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSub-6G\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e2.4 Gbps (DL)  \/  500 Mbps (UL)\u003c\/td\u003e\n\u003ctd\u003eSA: 2.4 Gbps (DL)  \/  900 Mbps (UL)\u003cbr\u003eNSA: 3.4 Gbps (DL)  \/  550 Mbps (UL)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLTE\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1 Gbps (DL)  \/  200 Mbps (UL)\u003c\/td\u003e\n\u003ctd\u003e1.6 Gbps (DL)  \/  200 Mbps (UL)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHSPA\u003c\/td\u003e\n\u003ctd colspan=\"3\"\u003e42 Mbps (DL)  \/  5.76 Mbps (UL)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"4\"\u003e\u003cstrong\u003eHardware info\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSIM card\u003c\/td\u003e\n\u003ctd colspan=\"3\"\u003e1.8V\/3.0V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower supply\u003c\/td\u003e\n\u003ctd colspan=\"3\"\u003e5V 3A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAntenna connector\u003c\/td\u003e\n\u003ctd\u003e6x IPEX-4 connector\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e4x IPEX-4 connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModule dimensions\u003c\/td\u003e\n\u003ctd\u003e52.0×30.0×2.3mm\u003c\/td\u003e\n\u003ctd\u003e42.0×30.0×2.3mm\u003c\/td\u003e\n\u003ctd\u003e52.0×30.0×2.3mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"4\"\u003e\u003cstrong\u003eApplications\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eApplicable regions\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eRegions with 5G Sub-6G signal coverage except the Americas\u003c\/td\u003e\n\u003ctd\u003eGlobal\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eApplication examples\u003c\/td\u003e\n\u003ctd colspan=\"3\"\u003eCPE, Smart gateway, Drone, Live streaming, Remote medical treatment, Intelligent security\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"richGridWrap richGridWrap-3c richGridWrap-valignTop mgnTB\"\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003c\/div\u003e\n\u003ch1 class=\"richTitle\"\u003e \u003c\/h1\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle\"\u003eMulti Mode Multi Band, Applicable For Most Of The Countries And Regions\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\"\u003e\n\u003cspan\u003eSupports 5G\/4G\/3G, Supports 5G SA And NSA, Multi Mode Multi Band\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003eApplicable For Regions With 5G Sub-6G Signal Coverage\u003c\/span\u003e\n\u003c\/h4\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/SIM8202G-M2-5G-for-Jetson-Nano\/SIM8202G-M2-5G-for-Jetson-Nano-details-7.jpg\"\u003e\n\u003cp class=\"subBlock alignl note\"\u003e\u003cspan\u003e\u003cem\u003e* the frequency band diagram above is for reference only, please confirm the supported bands according to your local service provider.\u003c\/em\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003eMulti System Support\u003c\/h2\u003e\n\u003ch3 class=\"richDesc\"\u003e Supports Windows\/Android\/Linux \u003c\/h3\u003e\n\u003cp class=\"subBlock\"\u003e\u003cspan\u003eJust plug it into USB port, go through some driver installation and simple configuration, the high speed 5G network connection would be ready to use\u003c\/span\u003e\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/SIM8202G-M2-5G-for-Jetson-Nano\/SIM8202G-M2-5G-for-Jetson-Nano-details-11.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e \u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003eMulti Host Support\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\"\u003e\u003cspan\u003eEnabling 5G High Speed Connection For Jetson Nano And Windows Computer\u003c\/span\u003e\u003c\/h4\u003e\n\u003cdiv class=\"subBlock\"\u003e\n\u003cstrong\u003eSub-6G:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eup to 2.4 Gbps (downlink) \/ up to 500 Mbps (uplink)*\u003cbr\u003e\u003cstrong\u003eLET:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eup to 1 Gbps (downlink) \/ up to 200 Mbps (uplink)*\u003cbr\u003e\u003cstrong\u003eHSPA+:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eup to 42 Mbps (downlink) \/ up to 5.76 Mbps (uplink)*\u003cbr\u003e\n\u003c\/div\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/SIM8202G-M2-5G-for-Jetson-Nano\/SIM8202G-M2-5G-for-Jetson-Nano-details-13.jpg\"\u003e\u003cspan\u003e \u003c\/span\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/SIM8202G-M2-5G-for-Jetson-Nano\/SIM8202G-M2-5G-for-Jetson-Nano-details-15.jpg\"\u003e\n\u003cp class=\"subBlock alignl note\"\u003e\u003cspan\u003e\u003cem\u003e* stands for idealized data rate, the actual data rate depends on factors like network coverage, traffic congestion, base station condition, etc.\u003c\/em\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003eCloud Communication\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003eSupported Communication Protocols:\u003cbr\u003eTCP \/ IP \/ IPV4 \/ IPV6 \/ Multi-PDP \/ FTP \/ FTPS \/ HTTP \/ HTTPS \/ MQTTS \/ DNS \/ SSL3.0\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/SIM8202G-M2-5G-for-Jetson-Nano\/SIM8202G-M2-5G-for-Jetson-Nano-details-17.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003eHigh-Precision GNSS Support\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003eSupports GPS, Beidou, Glonass, Galileo, QZSS, LBS\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/SIM8202G-M2-5G-for-Jetson-Nano\/SIM8202G-M2-5G-for-Jetson-Nano-details-19.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003ePhone Call \u0026amp; SMS Support\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003eAllows Using AT Commands To Make Phone Call Or Send SMS\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/SIM8202G-M2-5G-for-Jetson-Nano\/SIM8202G-M2-5G-for-Jetson-Nano-details-21.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003eAppearances\u003c\/h2\u003e\n\u003cimg class=\"mgnTB\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/SIM8202G-M2-5G-for-Jetson-Nano\/SIM8202G-M2-5G-for-Jetson-Nano-details-25.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003eWhat's On Board\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/SIM8202G-M2-5G-for-Jetson-Nano\/SIM8202G-M2-5G-for-Jetson-Nano-details-intro.jpg\"\u003e\n\u003cdiv class=\"richGridWrap richGridWrap-2c alignl bgGrey subBlock\"\u003e\n\u003cdiv\u003e\n\u003col\u003e\n\u003cli\u003e\n\u003cstrong\u003eM.2 connector\u003c\/strong\u003e\u003cbr\u003ecompatible with SIM8200EA-M2, SIM8202G-M2 and RM520N-GL modules\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUSB3.1 port\u003c\/strong\u003e\u003cbr\u003efor connecting with computer or Jetson Nano\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e3.5mm headphone\/microphone jack\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e40PIN GPIO header\u003c\/strong\u003e\u003cbr\u003efor connecting with Jetson Nano\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFan header\u003c\/strong\u003e\u003cbr\u003efor 5V cooling fan\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003enano SIM card slot\u003c\/strong\u003e\u003cbr\u003esupports 1.8V \/ 3V SIM card\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e5V 3A power input\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eNetwork indicator\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003ePower indicator\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eReset\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003ePower switch\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003ePower supply circuit\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eAudio drive circuit\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePower supply selection jumper\u003c\/strong\u003e\u003cbr\u003e5V - SYS: powered by Jetson Nano 40PIN GPIO\u003cbr\u003e5V - USB: powered by external 5V 3A power adapter\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModule on\/off control pin enable jumper\u003c\/strong\u003e\u003cbr\u003ePWR - D5: enabled by default, Jetson Nano D5 pin can be used to turn on\/off the module\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModule reset pin enable jumper\u003c\/strong\u003e\u003cbr\u003eRST - D6: enabled by default, Jetson Nano D6 pin can be used to reset the module\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAudio input\/output\u003c\/strong\u003e\u003cbr\u003eMIC+\/MIC-: for external microphone\u003cbr\u003eSPK+\/SPK-: for external speaker\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003eOutline Dimensions\u003c\/h2\u003e\n\u003cimg class=\"mgnTB\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/SIM8202G-M2-5G-for-Jetson-Nano\/SIM8202G-M2-5G-for-Jetson-Nano-details-size.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003eResources\u003c\/h2\u003e\n\u003cp class=\"richTitle\"\u003e\u003cstrong\u003eWiki:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca href=\"http:\/\/www.waveshare.com\/wiki\/RM520N-GL_5G_for_Jetson_Nano\" target=\"_blank\"\u003ewww.waveshare.com\/wiki\/RM520N-GL_5G_for_Jetson_Nano\u003c\/a\u003e\u003c\/p\u003e\n\u003ch2 class=\"bgGrey\"\u003e\u003c\/h2\u003e\n\u003ch2 class=\"bgGrey\"\u003ePackage Contents:\u003c\/h2\u003e\n\u003cdiv class=\"bgGrey\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"bgGrey\"\u003e\n\u003col\u003e\n\u003cli\u003e4G\/5G module base x1\u003c\/li\u003e\n\u003cli\u003eRM520N-GL x1\u003c\/li\u003e\n\u003cli\u003e5G External Antenna x4\u003c\/li\u003e\n\u003cli\u003eGPS antenna x1\u003c\/li\u003e\n\u003cli\u003eUSB3.0 dual plug cable x1\u003c\/li\u003e\n\u003cli\u003eUSB 3.0 Adapter (C) x1\u003c\/li\u003e\n\u003cli\u003eHeatsink x1\u003c\/li\u003e\n\u003cli\u003eScrews pack x1\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"noteBg\"\u003eOPTIONS\u003c\/span\u003e\u003cspan\u003e \u003c\/span\u003ePower adapter 5V 3A x1\u003c\/li\u003e\n\u003cli\u003eBlack acrylic panel x1\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/SIM8202G-M2-5G-for-Jetson-Nano\/RM520N-GL-5G-for-Jetson-Nano-details-pack.jpg\"\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"Default Title","offer_id":45796149592147,"sku":"ROBO227","price":35849.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/rm520n-gl-5g-for-jetson-nano-1_1.webp?v=1783497081"},{"product_id":"jetracer-pro-high-speed-ai-racing-robot-kit","title":"JetRacer Pro High Speed AI Racing Robot Kit","description":"\u003ch2 class=\"overviewSec\"\u003eFaster, Stronger, JetRacer Pro! — High Speed AI Racing Robot Kit\u003c\/h2\u003e\n\u003cp\u003eThis is an AI Racing Robot kit based on Jetson Nano 2GB Developer Kit. Supports deep learning, auto line following, autonomous driving, and so on.\u003c\/p\u003e\n\u003ch2 class=\"richTitle\"\u003eResources\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eWiki:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/JetRacer_Pro_2GB_AI_Kit\" target=\"_blank\"\u003eJetRacer_Pro_AI_Kit\u003c\/a\u003e\u003c\/p\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/JetRacer-Pro-2GB-AI-Kit-details-1.jpg?v=1665269960\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cem\u003e\u003cspan\u003eNote: NVIDIA Jetson Nano has been officially announced as End-of-Life (EOL) starting January 2026. Long-term availability, future software updates, and extended support will be limited.\u003c\/span\u003e\u003c\/em\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\n\u003cem\u003e\u003c\/em\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003eHigh Performance Autonomous AI Racing Car\u003c\/h2\u003e\n\u003ch4 class=\"richDesc hilitColor\"\u003eHigher Performance Chassis, Faster Racing Speed\u003c\/h4\u003e\n\u003cp class=\"richDesc\"\u003eInteractive Webpage Programming, High Frame Rate Processing Through Torch2trt (PyTorch To TensorRT Translator) Optimizing, Easy To Achieve Faster Autonomous Selft Driving\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-Pro-2GB-AI-Kit\/JetRacer-Pro-2GB-AI-Kit-details-5.jpg\"\u003e\n\u003ch2 class=\"richDesc\"\u003eSuitable For High School AI Teaching \/ Professional Racing\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch4 class=\"richTitle\"\u003eDonkeyCar Open Source Project - Deep Learning Self Driving Car\u003c\/h4\u003e\n\u003cp class=\"richDesc\"\u003eJetRacer Pro 2GB AI Kit Also Supports DonkeyCar Open Source Project. DonkeyCar Utilizes Deep Learning Neural Network Framework Keras\/TensorFlow, Together With Computer Vision Library OpenCV, To Achieve Self Driving.\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-Pro-2GB-AI-Kit\/JetRacer-Pro-2GB-AI-Kit-details-7.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003eDeep Learning, Autonomous Driving\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-Pro-2GB-AI-Kit\/JetRacer-Pro-2GB-AI-Kit-details-9.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003eIntroduction\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-Pro-2GB-AI-Kit\/JetRacer-Pro-2GB-AI-Kit-details-11.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003eChassis Structure\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-Pro-2GB-AI-Kit\/JetRacer-Pro-2GB-AI-Kit-details-13.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle\"\u003eJetRacer Pro Expansion Board\u003cspan\u003e \u003c\/span\u003e\u003cspan class=\"hilitBlock\"\u003eHighly Integrated\u003c\/span\u003e\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003eRechargeable, Battery Voltage Monitor, No Messy Wiring, Simple Assembly\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-Pro-2GB-AI-Kit\/JetRacer-Pro-2GB-AI-Kit-details-15.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003e8MP 160° FOV Camera\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\"\u003eIMX219 High Quality Sensor, 3280×2464 Resolution\u003c\/h4\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-Pro-2GB-AI-Kit\/JetRacer-Pro-2GB-AI-Kit-details-17.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003eUSB Wireless NIC\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\"\u003eHigh Speed WiFi, Stable Connection, Low Latency\u003c\/h4\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-Pro-2GB-AI-Kit\/JetRacer-Pro-2GB-AI-Kit-details-19.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle\"\u003eMultiple Teleoperation Method\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-Pro-2GB-AI-Kit\/JetRacer-Pro-2GB-AI-Kit-details-21.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003eExtra Free Track Map\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\"\u003eDelivered With 3m×2m Large Size Track Map For Your Convenience\u003c\/h4\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-Pro-2GB-AI-Kit\/JetRacer-Pro-2GB-AI-Kit-details-23.jpg\"\u003e\n\u003c\/div\u003e\n\u003ch2 class=\"richTitle\"\u003eNVIDIA Official Partner\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\"\u003eAs An NVIDIA Official Authorized Partner, Waveshare Is Capable Of Providing Genuine Products And Reliable Tech Support\u003c\/h4\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Nano-Developer-Kit-B01\/Jetson-Nano-Developer-Kit-partner_960.jpg\"\u003e\u003cbr\u003e\u003cbr\u003e\n\u003ch2\u003ePackage Contains:\u003c\/h2\u003e\n\u003col\u003e\n\u003cli\u003e1x\u003cspan\u003e \u003c\/span\u003e\u003cspan\u003eOptional ThinkRobotics Jetson Nano 4GB B01 Developer Kit \u0026amp; TF Card 64GB\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e1x On-road chassis\u003c\/li\u003e\n\u003cli\u003e1x JetRacer Pro expansion board\u003c\/li\u003e\n\u003cli\u003e1x USB wireless NIC\u003c\/li\u003e\n\u003cli\u003e1x IMX219-160 Camera\u003c\/li\u003e\n\u003cli\u003e1x Acrylic camera spacer\u003c\/li\u003e\n\u003cli\u003e1x Camera holder\u003c\/li\u003e\n\u003cli\u003e1x Wireless gamepad\u003c\/li\u003e\n\u003cli\u003e1x Cooling fan\u003c\/li\u003e\n\u003cli\u003e1x 6Pin cable\u003c\/li\u003e\n\u003cli\u003e1x Micro SD card reader\u003c\/li\u003e\n\u003cli\u003e1x Spanner\u003c\/li\u003e\n\u003cli\u003e1x Screwdriver x2\u003c\/li\u003e\n\u003cli\u003e1x 8.4V 2A battery charger + EU head\u003c\/li\u003e\n\u003cli\u003e1x Screws pack\u003c\/li\u003e\n\u003cli\u003e1x Track map\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JetRacer-Pro-2GB-AI-Kit\/JetRacer-Pro-2GB-AI-Kit-details-pack.jpg\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Roboi","offers":[{"title":"w\/o Jetson Nano Dev Kit","offer_id":45796689346643,"sku":"ROBO228","price":27949.99,"currency_code":"INR","in_stock":true},{"title":"with Jetson Nano 4GB B01 Dev Kit","offer_id":45796689379411,"sku":"ROBO229","price":47949.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/jetracer-pro-2gb-ai-kit-1_1.webp?v=1783501442"},{"product_id":"hiwonder-jetauto-ros1-ros2-robot-car","title":"Hiwonder JetAuto ROS1 ROS2 Robot Car","description":"\u003cp\u003e\u003ciframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/vm51ssb62J4?si=V1oF2qrMiPfzGoL0\" height=\"315\" width=\"560\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/c8673ad12c925aade37ed748fd89991c_00858bd3-f198-4e29-a14e-fb12d0942f33.jpg?v=1718351125\" alt=\"\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetAuto_b875302c-751a-4a18-9437-fe7556036e26.jpg?v=1724295234\" alt=\"\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"descItem\"\u003e\n\u003cp class=\"desc\"\u003eJetAuto is an entry-level ROS education robot powered by Jetson Nano. Featuring a Lidar, depth camera and 7-inch screen, JetAuto provides various functionalities, such as robot motion control, mapping and navigation and human feature recognition.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/2.1_2d970037-a56f-4672-9b2c-85934500d544.jpg?v=1724295096\"\u003e\n\u003ch4\u003e360° Omnidirectional Movement\u003c\/h4\u003e\n\u003cp\u003eWith 4 omnidirectional mecanum wheels, JetAuto can move 360°. Different movement modes (move forward, horizontally, diagonally and rotate ) and excellent performance make it bold to challenge various complicated routes.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/2.2_428e4e3d-97ab-40c8-a7b3-f08d52208806.jpg?v=1724295157\"\u003e\n\u003ch4\u003eEquipped with Lidar Supports SLAM Mapping Navigation\u003c\/h4\u003e\n\u003cp\u003eJetAuto is equipped with lidar, which can realize SLAM mapping and navigation, and supports path planning, fixed-point navigation and dynamic obstacle avoidance.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv class=\"descItem\"\u003e\n\u003ch2 class=\"head\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"head\"\u003eDual-Controller Design for Efficient Collaboration\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetAuto_7a5252e2-c95f-4013-b76d-e9cdca6ca042.jpg?v=1724295248\" class=\"noDesc pc\"\u003e\n\u003c\/div\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg class=\"a-section-image\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/3.1_f9937446-d922-46a7-bfbb-aef664e5c6ec.jpg?v=1718350491\"\u003e\n\u003ch4\u003eDC Geared Motor\u003c\/h4\u003e\n\u003cp class=\"description\"\u003eIt offers robust force, has a high-precision encoder,and includes a protective end shell to ensure an extended service life.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg class=\"a-section-image\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/3.2_56e9b775-0060-44b7-80bd-0597e2010721.jpg?v=1718350537%22\"\u003e\n\u003ch4\u003e7-inch HD LCD Touch Screen\u003c\/h4\u003e\n\u003cp class=\"description\"\u003eWith a resolution of 1024 x 600 pixels and compatible with NVIDIA, this screen allows you to freely monitor and debug various parameters of the robot.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg class=\"a-section-image\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/3.3_70f2311f-e90b-4d02-bc19-965aa6caffe7.jpg?v=1718350574\"\u003e\n\u003ch4\u003e240° High-performance Pan-tilt\u003c\/h4\u003e\n\u003cp class=\"description\"\u003eJetAuto's high-precision pendulum suspension structure balances the force exerted on all four wheels, enabling good adaptability to uneven surfaces.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg class=\"a-section-image\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/3.4_06d63c63-a351-4977-8d9f-b78ab5c834a2.jpg?v=1718350633\"\u003e\n\u003ch4\u003e6CH Far-field Microphone Array\u003c\/h4\u003e\n\u003cp class=\"description\"\u003eThe 6-channel microphone array and speakers support sound source positioning, voice recognition control, voice navigation and other functions.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv class=\"descItem\"\u003e\n\u003ch2 class=\"head\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"head\"\u003eFunction List\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/4._05b5b612-adda-45de-b5a0-8678aeee97f9.jpg?v=1724471120\" class=\"noDesc pc\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pc\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/5ROS1_2_91bd03d4-9555-47ce-a764-f5fc05495d3a.jpg?v=1724295445\" class=\"img-t\"\u003e\u003cspan\u003e \u003c\/span\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/2393642f1e29c580c6e815ea6a42b1e8_c1db744c-5e54-463d-9923-f856d1e8ed56.jpg?v=1724480660\" class=\"mainImg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/5._afefccad-4eef-472a-b38a-a01cbd65d5d0.jpg?v=1724295514\" alt=\"\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/3D_dc3cdec6-eb71-453e-848f-95923e35180e.jpg?v=1724295713\" alt=\"\"\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/6.5.2__01.jpg?v=1724319739\" alt=\"\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"descItem lowpad\"\u003e\n\u003ch2 class=\"head\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"head\"\u003eMediaPipe Development, Upgraded AI Interaction\u003c\/h2\u003e\n\u003cp class=\"desc\"\u003eJetAuto utilizes MediaPipe development framework to accomplish various functions, such as human body recognition, fingertip recognition, face detection, and 3D detection.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/8.1MediaPipe4.jpg?v=1699597183\"\u003e\n\u003ch4\u003eFingertip Trajectory Recognition\u003c\/h4\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/7.2MediaPipe3.jpg?v=1699698434\"\u003e\n\u003ch4\u003eHuman Body Recognition\u003c\/h4\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/8.3MediaPipe2.jpg?v=1699597183\"\u003e\n\u003ch4\u003e3D Detection\u003c\/h4\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/8.4MediaPipe1.jpg?v=1699597183\"\u003e\n\u003ch4\u003e3D Face Detection\u003c\/h4\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv class=\"descItem lowpad\"\u003e\n\u003ch2 class=\"head\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"head\"\u003eAI Vision Interaction\u003c\/h2\u003e\n\u003cp class=\"desc\"\u003eBy incorporating artificial intelligence, JetAuto can implement KCF target tracking, line following, color\/ tag recognition and tracking, YOLO object recognition and more.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/9.1_1.jpg?v=1699597183\"\u003e\n\u003ch4\u003eKCF Target Tracking\u003c\/h4\u003e\n\u003cp\u003eRelying on KCF filtering algorithm, the robot can track the selected target.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/8.2_ed402448-3f1f-4a01-9128-c2c01c654ab2.jpg?v=1699698094\"\u003e\n\u003ch4\u003eVision Line Following\u003c\/h4\u003e\n\u003cp\u003eJetAuto supports custom color selection, and the robot can identify color lines and follow them.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/4.3_20324a3a-1c90-493b-b75f-4e773cbb7bba.jpg?v=1698228834\"\u003e\n\u003ch4\u003eColor\/ Tag Recognition and Tracking\u003c\/h4\u003e\n\u003cp\u003eJetAuto is able to recognize and track the designated color, and can recognize multiple April Tags and their coordinates at the same time.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/4.2_MediaPipe.jpg?v=1698228834\"\u003e\n\u003ch4\u003eYOLO Object Recognition\u003c\/h4\u003e\n\u003cp\u003eUtilize YOLO network algorithm and deep learning model library to recognize the objects.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv class=\"descItem\"\u003e\n\u003ch2 class=\"head\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"head\"\u003e6CH Far-field Microphone Array\u003c\/h2\u003e\n\u003cp class=\"desc\"\u003eThis 6CH far-field microphone array is adroit at far-field sound source localization, voice recognition and voice interaction. In comparison to ordinary microphone module,it can implement more advanced functions.\u003c\/p\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/9._13e21791-a8e2-4a32-a875-ddfc67a5d3fd.jpg?v=1718351290\" class=\"downImg img-t\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/d2decab5bf0bee83fe3d9f3e4f722c7e_5a0942d0-414c-4cd3-96dd-e444200ad7dc.jpg?v=1724296114\" class=\"pc\"\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/11._7c9f9fdf-fc3c-4101-99c5-9e569643837b.jpg?v=1724296160\" class=\"mainImg pc\"\u003e\u003c\/p\u003e\n\u003cdiv class=\"descItem\"\u003e\n\u003ch2 class=\"head\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"head\"\u003eROS Robot Operating System\u003c\/h2\u003e\n\u003ch4 class=\"stress-head\"\u003e\u003cspan\u003eGlobal Popular Robotic Communication Framework\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp class=\"desc\"\u003eROS is an open-source meta operating system for robots. It provides some basic services, such as hardware abstraction, low-level device control, implementation of commonly used functionality, message-passing between processes, and package management. And it also offers the tools and library functions needed to obtain, compile, write, and run code across computers. It aims at providing code reuse support for robotics research and development.\u003c\/p\u003e\n\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/Copy-3_3x_0b9e93ba-0984-4459-87e7-ed76b1650c4a.png?v=1652954175\" class=\"downImg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"descItem\"\u003e\n\u003ch2 class=\"head\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"head\"\u003eGazebo Simulation\u003c\/h2\u003e\n\u003cp class=\"desc\"\u003eJetAuto is built on the Robot Operating System (ROS) and integrates with Gazebo simulation. This enables effortless control of the robot in a simulated environment, facilitating algorithm prevalidation to prevent potential errors. Gazebo provides visual data, allowing you to observe the motion trajectories of each endpoint and center. This visual feedback facilitates algorithm enhancement.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/12.1_1e8f5e68-443a-42b6-821a-a81825193577.jpg?v=1724296195\"\u003e\n\u003ch4\u003eBody Simulation Control\u003c\/h4\u003e\n\u003cp\u003eThrough robot simulation control, algorithm verification of mapping navigation can be carried out to improve the iteration speed of the algorithm and reduce the cost of trial and error.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/12.2_31e0f85a-2e66-4958-b2a0-a7306578b205.jpg?v=1724296217\"\u003e\n\u003ch4\u003eRviz Shows URDF Model\u003c\/h4\u003e\n\u003cp\u003eProvide an accurate URDF model, and observe the mapping navigation effect through the Rviz visualization tool to facilitate debugging and improving algorithms.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/13_01fb5ff0-7323-4ecd-b6de-946bc37b8d01.jpg?v=1724296262\" alt=\"\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"pc\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/15._changtu.jpg?v=1724296304\" class=\"mainImg\"\u003e\u003cspan\u003e \u003c\/span\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/3d.jpg?v=1724296335\" class=\"mainImg\"\u003e\u003cspan\u003e \u003c\/span\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/17..jpg?v=1724296399\" class=\"mainImg\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"titimg\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/17.1.1.jpg?v=1724296425\"\u003e\u003c\/div\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg class=\"a-section-image\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/17.1_761ba52b-ff07-49ae-bf7c-916e0fe08dce.jpg?v=1699598005\"\u003e\n\u003ch4\u003eWrapped Rear Tail Shell\u003c\/h4\u003e\n\u003cp class=\"description\"\u003eIt can effectively protect the PCB circuit and magnetic ring at the end of the motor from external influences, effectively improving the safety and service life of the motor.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg class=\"a-section-image\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/17.2_3.jpg?v=1699598006\"\u003e\n\u003ch4\u003ePermanent Magnet Brushed Motor\u003c\/h4\u003e\n\u003cp class=\"description\"\u003eThe permanent magnet DC motor has fast starting response speed, large starting torque and smooth speed change.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg class=\"a-section-image\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/17.3_2.jpg?v=1699598006\"\u003e\n\u003ch4\u003eHigh-precision Magnetic Encoder\u003c\/h4\u003e\n\u003cp class=\"description\"\u003eThe motor is equipped with a high-precision magnetic encoder, has strong horsepower, high precision, and strong anti-interference ability.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg class=\"a-section-image\" src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/16.4_aeea863a-3fd7-49c8-a9de-8d71ea94f0e3.jpg?v=1699690706\"\u003e\n\u003ch4\u003eAdapt to Various Scenes\u003c\/h4\u003e\n\u003cp class=\"description\"\u003eThe low speed of 1:90 ratio and the high torque of 15kg.cm enable the motor to adapt to car chassis made of various materials.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/17.1_270e0eae-3544-4eff-bf5f-45b7e8e15f8d.jpg?v=1699694539\"\u003e\n\u003ch4\u003eHall Encoder Geared Motor\u003c\/h4\u003e\n\u003cp\u003e520 motor comes with high-accuracy encoder, and features strong force and high performance. The built-in AB phase incremental Hall encoder stands out for its high accuracy and anti-interference ability.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/19.2.jpg?v=1699698858\"\u003e\n\u003ch4\u003eMecanum Wheel\u003c\/h4\u003e\n\u003cp\u003eThe mecanum wheel has a compact structure and flexible movement, supports 360° all-round movement, and realizes the full lateral movement of the car.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv\u003e\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/18.1_07baf273-ed60-4e3e-b722-4006d2004583.jpg?v=1699691481\" class=\"mainImg\"\u003e\u003c\/div\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/20.1.jpg?v=1718351863\"\u003e\n\u003ch4\u003eMulti-functional Expansion Board\u003c\/h4\u003e\n\u003cp\u003eThe expansion board has a built-in IMU sensor which can detects robot posture in real time. There are 2-channel PWM, two keys, a LED, a buzzer, 9-channel serial bus servo interface, two GPIO expansion ports and two llC interfaces on it.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/20.2.jpg?v=1699598023\"\u003e\n\u003ch4\u003eLithium battery parameters\u003c\/h4\u003e\n\u003cp\u003eThe fuselage has a built-in 11.1V 6000mAh large-capacity lithium battery to improve the robot's endurance.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e\u003cimg class=\"mainImg pc\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/22._890de853-4a42-407b-afc0-084dc6b39573.jpg?v=1724296533\"\u003e\u003c\/p\u003e\n\u003ctable class=\"apm-tablemodule-table\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n\u003ctbody\u003e\n\u003ctr class=\"apm-tablemodule-imagerows\"\u003e\n\u003cth class=\"apm-tablemodule-blankkeyhead\"\u003e\u003c\/th\u003e\n\u003cth class=\"apm-tablemodule-image\"\u003e\u003ca href=\"https:\/\/thinkrobotics.com\/products\/jettank-ros-robot-tank-powered-by-jetson-nano\"\u003e\u003cimg alt=\"JetTank\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetTank.jpg?v=1699598398\" width=\"148.0px\"\u003e\u003c\/a\u003e\u003c\/th\u003e\n\u003cth class=\"apm-tablemodule-image\"\u003e\u003ca href=\"https:\/\/thinkrobotics.com\/products\/jetacker-ros-education-robot-car-with-ackerman-structure-powered-by-jetson-nano\"\u003e\u003cimg alt=\"JetAcker\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetAcker_0a99d10b-ae01-4392-a4f1-a2cb9813f1ec.jpg?v=1699598398\" width=\"148.0px\"\u003e\u003c\/a\u003e\u003c\/th\u003e\n\u003cth class=\"apm-tablemodule-image\"\u003e\u003ca href=\"https:\/\/thinkrobotics.com\/products\/jetauto-ros-robot-for-jetson-nano\"\u003e\u003cimg alt=\"JetAuto\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetAuto_fdbcff7c-406a-47a1-ae76-cdb8fd99814e.jpg?v=1699598398\" width=\"148.0px\"\u003e\u003c\/a\u003e\u003c\/th\u003e\n\u003cth class=\"apm-tablemodule-image\"\u003e\u003ca href=\"https:\/\/thinkrobotics.com\/products\/jetauto-pro-ros-robot-for-jetson-nano\"\u003e\u003cimg alt=\"JetAuto Pro\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/JetAuto-Pro_3f21ee55-e0e1-493f-b5ec-40afc54d1119.jpg?v=1699598398\" width=\"148.0px\"\u003e\u003c\/a\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"apm-tablemodule-imagerows\"\u003e\n\u003cth class=\"apm-tablemodule-blankkeyhead\"\u003e\u003c\/th\u003e\n\u003cth\u003e\u003ca href=\"https:\/\/thinkrobotics.com\/products\/jettank-ros-robot-tank-powered-by-jetson-nano\"\u003eJetTank\u003c\/a\u003e\u003c\/th\u003e\n\u003cth\u003e\u003ca href=\"https:\/\/thinkrobotics.com\/products\/jetacker-ros-education-robot-car-with-ackerman-structure-powered-by-jetson-nano\"\u003eJetAcker\u003c\/a\u003e\u003c\/th\u003e\n\u003cth\u003e\u003ca href=\"https:\/\/thinkrobotics.com\/products\/jetauto-ros-robot-for-jetson-nano\"\u003eJetAuto\u003c\/a\u003e\u003c\/th\u003e\n\u003cth\u003e\u003ca href=\"https:\/\/thinkrobotics.com\/products\/jetauto-pro-ros-robot-for-jetson-nano\"\u003eJetAuto Pro\u003c\/a\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"apm-tablemodule-keyvalue\"\u003e\n\u003cth class=\"apm-tablemodule-keyhead\"\u003e\u003cspan class=\"a-color-secondary\"\u003eChassis\u003c\/span\u003e\u003c\/th\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eTracked chassis\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eAckerman steering structure\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003ePendulum suspension chassis\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003ePendulum suspension chassis\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"apm-tablemodule-keyvalue\"\u003e\n\u003cth class=\"apm-tablemodule-keyhead\"\u003e\u003cspan class=\"a-color-secondary\"\u003eWheel\u003c\/span\u003e\u003c\/th\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eNylon track\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e100mm Solid rubber wheel\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e97mm Mecanum wheel\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e97mm Mecanum wheel\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"apm-tablemodule-keyvalue\"\u003e\n\u003cth class=\"apm-tablemodule-keyhead\"\u003e\u003cspan class=\"a-color-secondary\"\u003eMotor\u003c\/span\u003e\u003c\/th\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e520 Motor*2\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e520 Motor*2\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e520 Motor*4\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e520 Motor*4\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"apm-tablemodule-keyvalue\"\u003e\n\u003cth class=\"apm-tablemodule-keyhead\"\u003e\u003cspan class=\"a-color-secondary\"\u003eServo\u003c\/span\u003e\u003c\/th\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eIntelligent servo*1\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eIntelligent servo*2\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eIntelligent servo*1\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eIntelligent servo*5\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"apm-tablemodule-keyvalue\"\u003e\n\u003cth class=\"apm-tablemodule-keyhead\"\u003e\u003cspan class=\"a-color-secondary\"\u003eCamera\u003c\/span\u003e\u003c\/th\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eAstra Pro Plus depth camera\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eAstra Pro Plus depth camera\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eAstra Pro Plus depth camera\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eAstra Pro Plus depth camera and monocular camera\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"apm-tablemodule-keyvalue\"\u003e\n\u003cth class=\"apm-tablemodule-keyhead\"\u003e\u003cspan class=\"a-color-secondary\"\u003eWheel\u003c\/span\u003e\u003c\/th\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eNylon track\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e100mm Solid rubber wheel\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e97mm Mecanum wheel\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e97mm Mecanum wheel\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"apm-tablemodule-keyvalue\"\u003e\n\u003cth class=\"apm-tablemodule-keyhead\"\u003e\u003cspan class=\"a-color-secondary\"\u003eLidar\u003c\/span\u003e\u003c\/th\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\" colspan=\"4\"\u003e\u003cspan class=\"a-size-base\"\u003e\u003ca href=\"https:\/\/www.hiwonder.com\/products\/lidar-a1-a2\"\u003eSLAMTEC A1\u003c\/a\u003e\/\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/www.hiwonder.com\/products\/ydlidar-g4?variant=40019309297751\"\u003eEAI G4\u003c\/a\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"apm-tablemodule-keyvalue\"\u003e\n\u003cth class=\"apm-tablemodule-keyhead\"\u003e\u003cspan class=\"a-color-secondary\"\u003eRobot Arm\u003c\/span\u003e\u003c\/th\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e\/\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e\/\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003e\/\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eMonocular vision robotic arm\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"apm-tablemodule-keyvalue\"\u003e\n\u003cth class=\"apm-tablemodule-keyhead\"\u003e\u003cspan class=\"a-color-secondary\"\u003eFeatures\u003c\/span\u003e\u003c\/th\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eROS in-depth development Able to overcome obstacles\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eAutonomous driving research\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003ePendulum suspension for stable driving 360° omnidirectional movement\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"apm-tablemodule-valuecell\"\u003e\u003cspan class=\"a-size-base\"\u003eGrabbing and transporting\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e \u003c\/h2\u003e\n\u003ch2\u003eSpecification Parameters\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003ctable class=\"a-bordered noBottomBorder\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eSize:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e302*260*256mm\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eWeight:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e3500g\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eMaterial:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eFull-metal hard aluminum alloy bracket\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eBattery:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e11.1V 6000mAh lithium battery\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eContinuous working life:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e60min\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eHardware:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eROS controller and ROS expansion board\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eOperating system:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eUbuntu 18.04 LTS + ROS Melodic\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eSoftware:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eiOS\/ Android APP\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eCommunication:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eUSB\/ WiFi \/ Ethernet\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eProgramming language:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003ePython\/ C\/ C++\/ JavaScript\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eStorage:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e32GB TF card\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eServo:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eHTS-20H serial bus servo\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003eControl method:\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003ePhone\/ Handle control\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003ePackage size (advanced kit):\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003e34*32*23cm\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"a-text-bold\"\u003e\u003cspan\u003ePackage weight (advanced kit):\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cspan\u003eAbout 4.5kg\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch4\u003eProduct Parameters\u003c\/h4\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/23.2.jpg?v=1718352121\"\u003e\n\u003ch4\u003eDimensional Diagram\u003c\/h4\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/23.1.jpg?v=1699599316\"\u003e\n\u003ch4\u003eSLAMTEC A1 Lidar Parameters\u003c\/h4\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/23.2G4.jpg?v=1699599316\"\u003e\n\u003ch4\u003eEAI G4 Lidar Parameters\u003c\/h4\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/24.1.jpg?v=1699599316\"\u003e\n\u003ch4\u003eDepth Camera Parameters\u003c\/h4\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/24.2.jpg?v=1718352553\"\u003e\n\u003ch4\u003e6-Microphone Array Parameters\u003c\/h4\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/25.1.jpg?v=1699599315\"\u003e\n\u003ch4\u003e7-inch LCD Screen Parameters\u003c\/h4\u003e\n\u003c\/td\u003e\n\u003ctd\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/25.2.jpg?v=1699599316\"\u003e\n\u003ch4\u003eHTS-20H Servo Parameters\u003c\/h4\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2 class=\"head Packing-head\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"head Packing-head\"\u003eAbundant Learning Materials\u003c\/h2\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopifycdn.net\/s\/files\/1\/0084\/2799\/5187\/files\/24_89fc8d26-22b1-4666-b21f-c48216cd324c.jpg?v=1699698973\" alt=\"Abundant Learning Materials\" class=\"mainImg pc\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0084\/2799\/5187\/files\/2_864f9dce-b66a-4de4-892c-e05eea8575c3.jpg?v=1724495354\" class=\"mainImg pc\"\u003e\u003c\/p\u003e\n\u003ch2 class=\"Packing-head-x Packing-head\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"Packing-head-x Packing-head\"\u003eJetAuto Starter Packing List\u003c\/h2\u003e\n\u003cdiv\u003e\u003cimg 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