{"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 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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); 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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","url":"https:\/\/shop.roboi.ai\/products\/nvidia%c2%ae-jetson-orin%e2%84%a2-nano-module-4gb","provider":"Roboi","version":"1.0","type":"link"}