{"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 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[.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%; 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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","url":"https:\/\/shop.roboi.ai\/products\/nvidia-jetson-agx-thor-deployment-kit","provider":"Roboi","version":"1.0","type":"link"}