{"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","url":"https:\/\/shop.roboi.ai\/products\/nvidia%c2%ae-jetson-orin%e2%84%a2-nano-module-8gb","provider":"Roboi","version":"1.0","type":"link"}