{"product_id":"nvidia®-jetson-agx-orin™-module-64gb","title":"NVIDIA® Jetson AGX Orin™ Module 64GB","description":"\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" class=\"\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-32\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cdiv class=\"qMYqUG_convSearchResultHighlightRoot\"\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" class=\"\"\u003e\n\u003cdiv class=\"relative w-full overflow-visible\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-32\" data-turn-id-container=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" data-turn-id=\"request-6a059b72-8bfc-8323-a7a5-5ee81d7d1ee4-1\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"653e0a5b-5045-42e0-91fb-1ad2950e8f42\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003cp\u003eThe NVIDIA Jetson AGX Orin 64GB module delivers up to 275 TOPS of AI performance with configurable power modes ranging from 15W to 60W. Offering more than 8× the performance of the Jetson AGX Xavier in the same compact form factor, it is engineered for advanced robotics, autonomous machines, and high-performance edge AI deployments.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch4\u003eFeatures\u003c\/h4\u003e\n\u003cp\u003eHigh-performance GPU with advanced architecture:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eGPU with 64 tensor cores\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e2x NVDLA v2.0\u003c\/li\u003e\n\u003cli\u003e2048-core NVIDIA Ampere architecture\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e12-core Arm Cortex-A78AE v8.2\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e64-bit CPU\u003c\/li\u003e\n\u003cli\u003e64GB 256-bit LPDDR5\u003c\/li\u003e\n\u003cli\u003e64GB eMMC 5.1\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan data-font-family=\"default\"\u003ePVA v2.0\u003c\/span\u003e\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eThe NVIDIA® Jetson AGX Orin™ 64GB module delivers up to 275 TOPS of AI performance with configurable power settings ranging from 15W to 60W. Providing over 8× the performance of the Jetson AGX Xavier™ in the same compact form factor, it is purpose-built for advanced robotics, autonomous systems, and demanding edge AI applications.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch4\u003eApplication\u003cbr\u003e\n\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eAutonomous Vehicles\u003c\/li\u003e\n\u003cli\u003eSmart Retail\u003c\/li\u003e\n\u003cli\u003eIndustrial Automation\u003c\/li\u003e\n\u003cli\u003eDrones and Robots\u003c\/li\u003e\n\u003cli\u003eMachine Vision\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv id=\"shopify-block-text_iRhCFD\" class=\"product-text\"\u003e\n\u003cdiv class=\"product-text__content\"\u003e\n\u003cdiv class=\"prose-tight prose max-md:prose-sm\"\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eSpecification\u003c\/h4\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ctable width=\"440\" height=\"21\" style=\"width: 100.331%; height: 395.125px; border-collapse: collapse;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 19.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cstrong\u003eFeatures\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 19.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cstrong\u003e\u003cspan data-font-family=\"Montserrat\"\u003eDetails\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 55.1875px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 55.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003eGPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 55.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003c\/span\u003e2048 Core Ampere, with 64 Tensor Cores\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 55.1875px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 55.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003eAI Performance\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 55.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003c\/span\u003e\u003cspan\u003e200 TOPS (Sp) |100 TOPS (De)\u003c\/span\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5938px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003eDL Accelerator\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e(2x) NVDLA V2.0\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5938px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003eVision Accelerator\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003cspan\u003e(2x) 7-way VLIW Processor\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.1875px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003eCPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e12 core Arm Cortex-A78AE\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e3MB L2 + 6MB L3\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5938px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003eStorage\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e64GB eMMC\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5938px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003eMemory\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e64GB 256-bit LPDDR5 @ 2133MHz\u003c\/p\u003e\n\u003cp\u003e205 GB\/s\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5938px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003ePower\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 35.5938px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e15W - 60W\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.1875px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003eMechanical\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e100mm x 87mm\u003c\/p\u003e\n\u003cp\u003e699 pin connector\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.1875px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003eVideo Encode\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\n\u003cp\u003e2x 4K60 | 4x 4K30 | 8x 1080p60 | 16x 1080p30 (H.265) H.264, AV1\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 71.1875px;\"\u003e\n\u003ctd style=\"width: 29.5047%; height: 71.1875px; border: 1px solid #d1d5db; padding: 10px;\"\u003e\u003cspan\u003eVideo Decode\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.1636%; 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