{"product_id":"nvidia®-jetson-orin™-nx-module-16gb","title":"NVIDIA® Jetson Orin™ NX Module 16GB","description":"\u003cp\u003eThe NVIDIA Jetson Orin NX 16GB module delivers up to 100 TOPS of AI performance in a compact Jetson form factor, with configurable power modes ranging from 10W to 25W. Offering up to 3× higher performance than the NVIDIA Jetson AGX Xavier and 5× more than the Jetson Xavier NX, it is perfectly suited for compact, power-efficient applications such as drones, robotics, and handheld edge AI devices.\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 32 Tensor Cores\u003c\/li\u003e\n\u003cli\u003e2x NVDLA v2.0\u003c\/li\u003e\n\u003cli\u003e8-core Arm Cortex-A78AE v8.2 64-bit CPU\u003c\/li\u003e\n\u003cli\u003e\u003cspan data-font-family=\"default\"\u003e1024-core NVIDIA Ampere architecture\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan data-font-family=\"default\"\u003e16GB 128-bit LPDDR5\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan data-font-family=\"default\"\u003ePVA v2.0\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eExperience exceptional AI computing performance for autonomous and power-efficient machines with the most compact NVIDIA Jetson™ form factor yet. Delivering up to 5× higher performance and double the NVIDIA® CUDA® cores compared to the previous generation, it also supports high-speed connectivity for multiple sensors. With up to 100 TOPS of AI performance, Jetson Orin™ NX enables multiple simultaneous AI inference workloads in an ultra-compact and efficient design.\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\u003eMedical Imaging\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: 663.875px; border-collapse: collapse;\" height=\"21\" width=\"440\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"width: 29.5156%; height: 19.5938px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cstrong\u003eFeatures\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.4107%; height: 19.5938px; 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: 55.1875px;\"\u003e\n\u003ctd style=\"width: 29.5156%; height: 55.1875px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eGPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.4107%; height: 55.1875px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e\u003c\/span\u003e1024 Core Ampere, with 32 Tensor Cores\u003cspan data-font-family=\"Montserrat\"\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: 29.5156%; border: 1px solid rgb(209, 213, 219); padding: 10px; height: 35.5938px;\"\u003e\u003cspan\u003eAI Performance\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.4107%; border: 1px solid rgb(209, 213, 219); padding: 10px; height: 35.5938px;\"\u003e\n\u003cp\u003e\u003cspan\u003e100 TOPS\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: 29.5156%; height: 35.5938px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eDL Accelerator\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.4107%; height: 35.5938px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e(2x) NVDLA V2.0\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: 29.5156%; height: 35.5938px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eVision Accelerator\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.4107%; height: 35.5938px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003ePVA v2.0\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 142.375px;\"\u003e\n\u003ctd style=\"width: 29.5156%; height: 142.375px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eCPU\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.4107%; height: 142.375px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e 8-core Arm Cortex-A78AE\u003c\/p\u003e\n\u003cp\u003e2MB L2 + 4MB L3\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5938px;\"\u003e\n\u003ctd style=\"width: 29.5156%; height: 35.5938px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eStorage\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.4107%; height: 35.5938px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eSupports external NVMe\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 90.7812px;\"\u003e\n\u003ctd style=\"width: 29.5156%; height: 90.7812px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003eMemory\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.4107%; height: 90.7812px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\n\u003cp\u003e \u003cbr\u003e16GB 128-bit LPDDR5 @ 2133 HMz\u003c\/p\u003e\n\u003cp\u003e102.4 GB\/s\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 35.5938px;\"\u003e\n\u003ctd style=\"width: 29.5156%; height: 35.5938px; border: 1px solid rgb(209, 213, 219); padding: 10px;\"\u003e\u003cspan\u003ePower\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.4107%; height: 35.5938px; border: 1px solid rgb(209, 213, 219); 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border: 1px solid rgb(209, 213, 219); padding: 10px; height: 55.1875px;\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eUp to 4 cameras (8 via virtual channels*)\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003e8 lanes MIPI CSI-2\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-font-family=\"Montserrat\"\u003eD-PHY 1.2 (20 Gbps)\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 55.1875px;\"\u003e\n\u003ctd style=\"width: 29.5156%; border: 1px solid rgb(209, 213, 219); padding: 10px; height: 55.1875px;\"\u003e\u003cspan\u003ePCI Express\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 70.4107%; border: 1px solid rgb(209, 213, 219); padding: 10px; height: 55.1875px;\"\u003e\n\u003cp\u003e\u003cspan\u003e3 x1 + 1 (x4 PCIe Gen 4)\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 NX Module 16GB x1\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch4\u003eDocuments\u003c\/h4\u003e\n\u003cp\u003eNVIDIA Jetson Orin NX Series datasheet\u003c\/p\u003e","brand":"Roboi","offers":[{"title":"Default Title","offer_id":44638134206547,"sku":"ROBO01","price":70733.41,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0714\/1962\/5555\/files\/jetson-orin-nx-2.jpg?v=1779258997","url":"https:\/\/shop.roboi.ai\/ar\/products\/nvidia%c2%ae-jetson-orin%e2%84%a2-nx-module-16gb","provider":"Roboi","version":"1.0","type":"link"}