{"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. With support for multiple high-speed sensors and simultaneous AI workloads, the Jetson Orin™ NX enables real-time analytics, intelligent vision processing, and next-generation machine autonomy in compact deployments.\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\u003eMedical Imaging\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: 395.125px; border-collapse: collapse;\" height=\"21\" width=\"440\"\u003e\n\u003ctbody\u003e\n\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 19.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cstrong\u003eFeatures\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 19.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cstrong\u003e\u003cspan data-font-family=\"Montserrat\"\u003eDetails\u003c\/span\u003e\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 55.1875px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 55.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cspan\u003eGPU\u003c\/span\u003e\n\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\"\u003eNVIDIA Ampere architecture with 1024 NVIDIA CUDA cores\u003c\/span\u003e \u003cspan data-font-family=\"Montserrat\"\u003e32 Tensor cores\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 35.5938px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cspan\u003eDL Accelerator\u003c\/span\u003e\n\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\"\u003e1x NVDLA v2.0\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 35.5938px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cspan\u003eVision Accelerator\u003c\/span\u003e\n\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\"\u003ePVA v2\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 71.1875px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cspan\u003eCPU\u003c\/span\u003e\n\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\"\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e1.5MB L2 + 4MB L3\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 35.5938px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cspan\u003eStorage\u003c\/span\u003e\n\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\"\u003eSupports external NVMe via PCIe\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 35.5938px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cspan\u003eMemory\u003c\/span\u003e\n\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\"\u003e8GB 128-bit LPDDR5 102.4 GB\/s\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 35.5938px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cspan\u003ePower\u003c\/span\u003e\n\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\"\u003e10W - 20W\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 71.1875px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cspan\u003eMechanical\u003c\/span\u003e\n\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\"\u003e45 mm x 69.6 mm\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\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 NX Module 8GB x1\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch4\u003eDocuments\u003c\/h4\u003e\n\u003cp\u003eNVIDIA Jetson Orin NX Series datasheet\u003c\/p\u003e","brand":"Roboi","offers":[{"title":"8GB","offer_id":44664292474963,"sku":"ROBO04","price":45236.62,"currency_code":"INR","in_stock":true},{"title":"16GB","offer_id":44664292507731,"sku":"ROBO01","price":70733.41,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/2.jpg?v=1779098406"},{"product_id":"nvidia®-jetson-agx-orin™-module-32gb","title":"NVIDIA® Jetson AGX Orin™ Module 32GB","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\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. 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. 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\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 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: 395.125px; border-collapse: collapse;\" height=\"21\" width=\"440\"\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\u003e1792-core NVIDIA Ampere GPU with 56 Tensor Cores\u003cspan data-font-family=\"Montserrat\"\u003e\u003c\/span\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\u003e200 TOPS (Sp) | 100 TOPS (De)\u003cspan data-font-family=\"Montserrat\"\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\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\"\u003e2x NVDLA v2\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\"\u003ePVA v2\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\u003e8-core NVIDIA Arm Cortex\u003c\/p\u003e\n\u003cp\u003eA78AE v8.2 64-bit CPU\u003c\/p\u003e\n\u003cp\u003e2MB L2 + 4MB L3\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\"\u003e64 GB eMMC 5.1\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\u003e32 GB 256-bit LPDDR5 @ 3200MHz\u003c\/p\u003e\n\u003cp\u003e204.8 GB\/s\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5938px;\"\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 to 40W\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\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%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e1x 8K30 | 3x 4K60 | 7x 4K30 | 11x 1080p60| 22x 1080p30 (H.265) H.264, VP9, AV1\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\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\u003e\u003cspan style=\"font-size: 0.875rem;\"\u003e16-lane MIPI CSI-2 connector\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 AGX Orin Module 64GB 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\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":"64GB","offer_id":44637312483411,"sku":"ROBO03","price":295561.6,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/Group_48098035.png?v=1779259643"},{"product_id":"nvidia®-jetson-orin™-nx-module-16gb","title":"NVIDIA® Jetson Orin™ NX Module 16GB","description":"\u003cp\u003eThe NVIDIA Jetson Orin NX 16GB module delivers up to 100 TOPS of AI performance in a compact Jetson form factor, with configurable power modes ranging from 10W to 25W. Offering up to 3× higher performance than the NVIDIA Jetson AGX Xavier and 5× more than the Jetson Xavier NX, it is perfectly suited for compact, power-efficient applications such as drones, robotics, and handheld edge AI 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\u003eGPU with 32 Tensor Cores\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\u003cspan data-font-family=\"default\"\u003e1024-core NVIDIA Ampere architecture\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan data-font-family=\"default\"\u003e16GB 128-bit LPDDR5\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan data-font-family=\"default\"\u003ePVA v2.0\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eExperience exceptional AI computing performance for autonomous and power-efficient machines with the most compact NVIDIA Jetson™ form factor yet. Delivering up to 5× higher performance and double the NVIDIA® CUDA® cores compared to the previous generation, it also supports high-speed connectivity for multiple sensors. With up to 100 TOPS of AI performance, Jetson Orin™ NX enables multiple simultaneous AI inference workloads in an ultra-compact and efficient design.\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\u003eMedical Imaging\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: 663.875px; border-collapse: collapse;\" height=\"21\" width=\"440\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"width: 29.5156%; height: 19.5938px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003eFeatures\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.4107%; height: 19.5938px; 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: 55.1875px;\"\u003e\n\u003ctd style=\"width: 29.5156%; height: 55.1875px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eGPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.4107%; height: 55.1875px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003c\/span\u003e1024 Core Ampere, with 32 Tensor Cores\u003cspan data-font-family=\"Montserrat\"\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: 29.5156%; border: 1px solid rgb(209, 213, 219); padding: 10px; height: 35.5938px;\"\u003e\u003cspan\u003eAI Performance\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.4107%; border: 1px solid rgb(209, 213, 219); padding: 10px; height: 35.5938px;\"\u003e\n\u003cp\u003e\u003cspan\u003e100 TOPS\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: 29.5156%; height: 35.5938px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eDL Accelerator\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.4107%; height: 35.5938px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e(2x) NVDLA V2.0\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: 29.5156%; height: 35.5938px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eVision Accelerator\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.4107%; height: 35.5938px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003ePVA v2.0\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 142.375px;\"\u003e\n\u003ctd style=\"width: 29.5156%; height: 142.375px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.4107%; height: 142.375px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e 8-core Arm Cortex-A78AE\u003c\/p\u003e\n\u003cp\u003e2MB L2 + 4MB L3\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5938px;\"\u003e\n\u003ctd style=\"width: 29.5156%; height: 35.5938px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eStorage\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.4107%; height: 35.5938px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eSupports external NVMe\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 90.7812px;\"\u003e\n\u003ctd style=\"width: 29.5156%; height: 90.7812px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMemory\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.4107%; height: 90.7812px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e \u003cbr\u003e16GB 128-bit LPDDR5 @ 2133 HMz\u003c\/p\u003e\n\u003cp\u003e102.4 GB\/s\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5938px;\"\u003e\n\u003ctd style=\"width: 29.5156%; height: 35.5938px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003ePower\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.4107%; height: 35.5938px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e10W \/ 15W \/ 25W\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 87.1875px;\"\u003e\n\u003ctd style=\"width: 29.5156%; height: 87.1875px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMechanical\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.4107%; height: 87.1875px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e 69.6mm x 45mm\u003c\/p\u003e\n\u003cp\u003e260-pin connector\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 55.1875px;\"\u003e\n\u003ctd style=\"width: 29.5156%; border: 1px solid rgb(209, 213, 219); padding: 10px; height: 55.1875px;\"\u003e\u003cspan\u003eVideo Encode\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.4107%; border: 1px solid rgb(209, 213, 219); padding: 10px; height: 55.1875px;\"\u003e\n\u003cp\u003e\u003cspan\u003e1x 4K60 | 3x 4K30| 6x 1080p60 | 12x 1080p30 (H.265), H.264, H.265, AV1\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 55.1875px;\"\u003e\n\u003ctd style=\"width: 29.5156%; border: 1px solid rgb(209, 213, 219); padding: 10px; height: 55.1875px;\"\u003e\u003cspan\u003eVideo Decode\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.4107%; border: 1px solid rgb(209, 213, 219); padding: 10px; height: 55.1875px;\"\u003e\n\u003cp\u003e\u003cspan\u003e1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60 |\u003c\/span\u003e\u003c\/p\u003e\n  \u003cp\u003e\u003cspan\u003e18x 1080p30 (H.265) H.264, H.265, VP9, AV1\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 55.1875px;\"\u003e\n\u003ctd style=\"width: 29.5156%; border: 1px solid rgb(209, 213, 219); padding: 10px; height: 55.1875px;\"\u003e\u003cspan\u003eCamera\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.4107%; border: 1px solid rgb(209, 213, 219); padding: 10px; height: 55.1875px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eUp to 4 cameras (8 via virtual channels*)\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e8 lanes MIPI CSI-2\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eD-PHY 1.2 (20 Gbps)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 55.1875px;\"\u003e\n\u003ctd style=\"width: 29.5156%; border: 1px solid rgb(209, 213, 219); padding: 10px; height: 55.1875px;\"\u003e\u003cspan\u003ePCI Express\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.4107%; border: 1px solid rgb(209, 213, 219); padding: 10px; height: 55.1875px;\"\u003e\n\u003cp\u003e\u003cspan\u003e3 x1 + 1 (x4 PCIe Gen 4)\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 NX Module 16GB x1\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch4\u003eDocuments\u003c\/h4\u003e\n\u003cp\u003eNVIDIA Jetson Orin NX Series datasheet\u003c\/p\u003e","brand":"Roboi","offers":[{"title":"Default Title","offer_id":44638134206547,"sku":"ROBO01","price":70733.41,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/jetson-orin-nx-2.jpg?v=1779258997"},{"product_id":"nvidia®-jetson-orin™-nano-module-8gb","title":"NVIDIA® Jetson Orin™ Nano Module 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\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))] @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\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 cores\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;\"\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 rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e69.6mm x 45mm\u003c\/p\u003e\n\u003cp\u003e260-pin SO-DIMM connector\u003c\/p\u003e\n\u003cp\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\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 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-a7a5-5ee81d7d1ee4-2\" 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 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 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 data-font-family=\"default\"\u003ee\u003c\/span\u003e\u003c\/a\u003e\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\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":44656135929939,"sku":"ROBO15","price":381360.84,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/SPARK-BACK_720x_12aa06f3-2504-4dd4-8b9b-e1dcee7448a5.webp?v=1779686670"},{"product_id":"nvidia®-jetson-orin™-nano-super-deployment-kit-16gb","title":"NVIDIA® Jetson Orin™ Nano Super 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 Hei,sans-serif\"\u003eMemory Bandwidth\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=\"Helvetica Neue,Helvetica,PingFang SC,Microsoft YaHei,Source Han Sans SC,Noto Sans CJK SC,WenQuanYi Micro Hei,sans-serif\"\u003e32GB\/s\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 Hei,sans-serif\"\u003ePower Modes\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=\"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 Sans\"\u003eSupported\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 43.9915px;\"\u003e\n\u003ctd style=\"height: 43.9915px; width: 40.9548%; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eCamera Interface\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\"\u003eMIPI CSI Camera Connectors\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\"\u003eExpansion Slot\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 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 [--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 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 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 – 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":80634.53,"currency_code":"INR","in_stock":true},{"title":"Orin™ NX 16GB","offer_id":44695497113683,"sku":"ROBO33","price":96011.79,"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":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/Rectangle_58800.png?v=1778847784"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/collections\/93f7421a-c5ab-4016-89da-774a606ebd5a.png?v=1779099820","url":"https:\/\/shop.roboi.ai\/collections\/asset-pack-12322734082-example-products.oembed","provider":"Roboi","version":"1.0","type":"link"}