{"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","url":"https:\/\/shop.roboi.ai\/ar\/products\/nvidia%c2%ae-jetson-orin%e2%84%a2-nx-deployment-kit-16gb","provider":"Roboi","version":"1.0","type":"link"}