{"product_id":"nvidia-jetson-orin-nx-16gb-som","title":"NVIDIA Jetson Orin NX 16GB SOM | Ampere Architecture GPU, 8-Core Arm Cortex-A78AE CPU, 16GB LPDDR5, Up to 100 TOPS AI Performance","description":"\u003ch3 style=\"text-align: left;\"\u003eNVIDIA Jetson Orin NX 8GB System-on-Module (SOM)\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eOverview \u0026amp; Value Proposition\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe NVIDIA Jetson Orin NX 8GB System-on-Module (SOM) is a high-efficiency embedded AI compute module designed to power entry-to-mid-tier autonomous machinery, smart vision cameras, and edge AI gateways. Powered by the NVIDIA Ampere GPU architecture and a 6-core Arm Cortex-A78AE CPU, it delivers up to 70 TOPS (and up to 117 TOPS in Super Mode) of AI compute within a compact 69.6mm x 45mm SODIMM form factor. Operating across a low-power 10W to 20W profile, the module provides an economical, industrial-grade compute platform for high-density computer vision and edge AI workloads.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4 style=\"text-align: left;\"\u003eKey Features \u0026amp; Business Benefits\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eAmpere GPU Architecture with 70+ TOPS:\u003c\/strong\u003e Features a 1024-core NVIDIA Ampere GPU with 32 3rd-Gen Tensor Cores delivering up to 70 TOPS (up to 117 TOPS in Super Mode) for real-time neural network inference.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e6-Core Arm Cortex-A78AE CPU:\u003c\/strong\u003e Driven by a 64-bit 6-core Arm CPU cluster with 1.5MB L2 and 4MB L3 cache to process control logic, ROS 2 nodes, and application tasks in parallel with GPU workloads.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e8GB Unified LPDDR5 Memory:\u003c\/strong\u003e Includes a 128-bit memory bus offering high memory bandwidth across a shared pool, eliminating CPU-to-GPU data transfer overheads during multi-stream camera analytics.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eDedicated Deep Learning Acceleration:\u003c\/strong\u003e Built-in NVDLA v2.0 engine offloads deep learning inference from the main GPU to maximize overall energy efficiency.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eUltra-Compact 260-Pin SODIMM Form Factor:\u003c\/strong\u003e Standardized 69.6mm x 45mm module dimensions enable direct integration into custom OEM carrier boards and compact chassis designs.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eConfigurable Low-Power Envelope (10W–20W):\u003c\/strong\u003e Software-configurable operational power profiles (10W, 15W, and 20W TDP) allow deployment in fanless, battery-operated, or thermally constrained systems.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eMulti-Camera \u0026amp; Peripheral Connectivity:\u003c\/strong\u003e Supports up to 4 direct MIPI CSI-2 camera streams, PCIe Gen 4 lanes, USB 3.2 Gen 2 ports, Gigabit Ethernet, and CAN bus controllers.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eNVIDIA JetPack Software Support:\u003c\/strong\u003e Compatible with NVIDIA JetPack SDK, Isaac robotics tools, Metropolis vision framework, and CUDA-X acceleration libraries.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4\u003e\u003cstrong\u003eWho Is This For?\u003c\/strong\u003e\u003c\/h4\u003e\n\u003cp\u003e\u003cstrong\u003eAutonomous Mobile Robot (AMR) \u0026amp; AGV Developers\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFor engineering teams designing entry-level AMRs, warehouse automation robots, and agricultural inspect platforms requiring compact AI processing.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSmart Camera \u0026amp; Vision Systems Integrators\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFor developers building multi-stream video analytics nodes, automated traffic management cameras, and smart retail monitoring devices.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIndustrial Automation \u0026amp; Quality Control OEMs\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFor manufacturers installing compact optical inspection units, robotic guidance modules, and edge AI gateways on factory floors.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePortable \u0026amp; Drone System Builders\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFor teams engineering light UAVs, wearable edge devices, and field instrumentation requiring high TOPS-per-watt efficiency.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4 style=\"text-align: left;\"\u003eFrequently Asked Questions (FAQ)\u003c\/h4\u003e\n\u003cp\u003e\u003cstrong\u003eQ: Does the NVIDIA Jetson Orin NX 8GB SOM include a carrier board or heat sink?\u003c\/strong\u003e\u003cbr\u003eA: No. The Jetson Orin NX 8GB is a bare System-on-Module (SOM) designed for production integration. It requires a compatible 260-pin carrier board, a thermal transfer plate\/heatsink, and external NVMe SSD storage to operate.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ: How does the Jetson Orin NX 8GB differ from the Jetson Orin NX 16GB model?\u003c\/strong\u003e\u003cbr\u003eA: The Orin NX 8GB includes 8GB LPDDR5 memory, a 6-core CPU, 1x NVDLA engine, and 70–117 TOPS AI performance at 10W–20W. The 16GB variant features 16GB LPDDR5, an 8-core CPU, 2x NVDLA engines, and 100–157 TOPS AI compute at 10W–25W.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ: Does the Jetson Orin NX 8GB SOM contain onboard eMMC storage?\u003c\/strong\u003e\u003cbr\u003eA: No. The Jetson Orin NX series does not feature onboard eMMC flash storage. System boot and storage expansion are managed via NVMe SSDs connected through PCIe Gen 4 lanes on the host carrier board.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ: Is the Orin NX 8GB SOM pin-compatible with Jetson Orin Nano modules?\u003c\/strong\u003e\u003cbr\u003eA: Yes. The Jetson Orin NX 8GB shares the identical 260-pin SODIMM connector layout and form factor as Jetson Orin Nano modules, enabling drop-in performance scaling on a shared carrier board architecture.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ: Can I request a formal quotation for procurement?\u003c\/strong\u003e\u003cbr\u003eA: Yes, we issue formal quotation documents with complete pricing, tax breakdowns, and payment terms for corporate or institutional procurement processes.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ: Do you provide GST invoices?\u003c\/strong\u003e\u003cbr\u003eA: Yes, we provide valid GST invoices for all orders. You can enter your GSTIN during checkout or provide it with your order details to claim input tax credit.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ: Do you deliver across India?\u003c\/strong\u003e\u003cbr\u003eA: Yes, we deliver to pincodes across all states and union territories in India through our logistics partners.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eQ: Can I request availability and lead time before ordering?\u003c\/strong\u003e\u003cbr\u003eA: Yes, you can contact us with your product requirements and quantity to confirm current stock availability and estimated delivery timelines before placing your order.\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":47734716432473,"sku":"Jetson-Orin-NX-16GB","price":0.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0653\/4060\/4505\/files\/NVIDIA-Jetson-Orin-NX-16GB-SOM-by-PCBuildz.webp?v=1793775052","url":"https:\/\/pcbuildz.in\/products\/nvidia-jetson-orin-nx-16gb-som","provider":"PCBuildz","version":"1.0","type":"link"}