{"product_id":"nvidia-jetson-orin-nx-8gb-som","title":"NVIDIA Jetson Orin NX 8GB SOM | Ampere Architecture GPU, 6-Core Arm Cortex-A78AE CPU, 8GB LPDDR5, Up to 70 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 an entry-to-mid-tier embedded AI compute engine designed to deliver high-density computer vision, real-time sensor processing, and edge AI inferencing. Powered by the NVIDIA Ampere GPU architecture and a 6-core Arm Cortex-A78AE CPU, it provides up to 70 INT8 TOPS (and up to 117 TOPS in software-optimized Super Mode) of AI compute within a compact 69.6mm x 45mm 260-pin SODIMM form factor. Operating across an energy-efficient 10W to 20W power envelope, it offers a cost-effective, high-performance compute platform for autonomous mobile robotics, smart vision systems, and edge AI gateways.\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 Architecture GPU with 70+ TOPS:\u003c\/strong\u003e Features a 1024-core NVIDIA Ampere GPU with 32 3rd-Gen Tensor Cores delivering up to 70 INT8 TOPS (up to 117 TOPS in Super Mode) for low-latency deep learning 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 execute application logic, ROS 2 nodes, and control algorithms.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003e8GB Unified LPDDR5 Memory:\u003c\/strong\u003e Features a 128-bit memory subsystem providing 102.4 GB\/s bandwidth across a shared unified pool, eliminating CPU-to-GPU memory transfer bottlenecks during multi-stream video processing.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eHardware Deep Learning Acceleration:\u003c\/strong\u003e Built-in Deep Learning Accelerator (NVDLA v2.0) engine offloads neural network execution from the primary GPU to optimize system-wide energy efficiency.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eCompact 260-Pin SODIMM Form Factor:\u003c\/strong\u003e Standardized 69.6mm x 45mm module dimensions allow seamless integration into custom carrier boards and space-constrained chassis designs.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eConfigurable Power Envelope (10W–20W):\u003c\/strong\u003e Software-configurable operational power profiles (10W, 15W, and 20W TDP) enable deployment in fanless, battery-operated, or thermally constrained enclosures.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eMulti-Camera \u0026amp; Peripheral Connectivity:\u003c\/strong\u003e Native support for up to 4 direct MIPI CSI-2 camera streams (8-lane), PCIe Gen 4 interconnects, USB 3.2 Gen 2, Gigabit Ethernet, and CAN bus controllers.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eEnterprise Software \u0026amp; NVIDIA JetPack SDK:\u003c\/strong\u003e Fully compatible with NVIDIA JetPack SDK, Isaac robotics framework, Metropolis vision platform, 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 vehicles, and agricultural inspection robotics 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 tracking platforms.\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 controllers 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 unmanned aerial vehicles (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 solution (heatsink\/heat spreader), 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 up to 70–117 TOPS AI performance at 10W–20W. The 16GB variant features 16GB LPDDR5, an 8-core CPU, 2x NVDLA engines, and up to 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. Operating 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":47734821781593,"sku":"Jetson-Orin-NX-8GB","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-8GB-SOM-by-PCBuildz.webp?v=1793777040","url":"https:\/\/pcbuildz.in\/products\/nvidia-jetson-orin-nx-8gb-som","provider":"PCBuildz","version":"1.0","type":"link"}