{"product_id":"nvidia-jetson-orin-nx-8gb-ai-computing-module-70-tops-ampere-gpu","title":"NVIDIA Jetson Orin NX 8GB AI Computing Module 70 TOPS Ampere GPU","description":"\u003cdiv\u003e\n\u003ch1\u003eNVIDIA Jetson Orin NX 8GB AI Computing Module\u003c\/h1\u003e\n\u003cp\u003eThe \u003cstrong\u003eNVIDIA Jetson Orin NX 8GB\u003c\/strong\u003e is a powerful system-on-module that brings supercomputer performance to edge AI applications in a compact form factor. Featuring a \u003cstrong\u003e1024-core NVIDIA Ampere GPU\u003c\/strong\u003e with 32 Tensor Cores, \u003cstrong\u003e6-core Arm Cortex-A78AE CPU\u003c\/strong\u003e, and \u003cstrong\u003e8GB LPDDR5 memory\u003c\/strong\u003e, this module delivers up to \u003cstrong\u003e70 TOPS of AI performance\u003c\/strong\u003e (117 TOPS in Super Mode) with configurable power modes from 10W to 25W. Perfect for robotics, autonomous machines, industrial automation, smart city infrastructure, and edge computing applications requiring high-performance AI inference in a space-constrained design.\u003c\/p\u003e\n\n\u003ch2\u003eWhy Choose the Jetson Orin NX 8GB Module\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eExceptional AI Performance\u003c\/strong\u003e: Up to 70 TOPS standard (117 TOPS in Super Mode) for running multiple concurrent AI inference pipelines\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnergy Efficient\u003c\/strong\u003e: Configurable power profiles between 10W and 25W to balance performance and thermal requirements\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCompact Form Factor\u003c\/strong\u003e: Ultra-small 69.6mm × 45mm module size, smaller than a credit card, with 260-pin SO-DIMM connector\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAdvanced GPU Architecture\u003c\/strong\u003e: 1024 CUDA cores and 32 Tensor Cores based on NVIDIA Ampere architecture for accelerated AI workloads\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHigh-Speed Memory\u003c\/strong\u003e: 8GB LPDDR5 with 102.4GB\/s bandwidth for fast data processing and neural network inference\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComprehensive Software Support\u003c\/strong\u003e: Full NVIDIA JetPack SDK, Isaac ROS packages, and 7+ years of software support through 2030\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003ePowerful AI and Machine Learning Capabilities\u003c\/h2\u003e\n\u003cp\u003eThe Jetson Orin NX 8GB is built around NVIDIA's Orin SoC, combining \u003cstrong\u003eNVIDIA Ampere GPU architecture\u003c\/strong\u003e with 64-bit ARM processing capability. It delivers compute performance up to 100 sparse INT8 TOPS and 50 dense INT8 TOPS, enabling the module to run \u003cstrong\u003emultiple neural networks in parallel\u003c\/strong\u003e and process data from multiple high-resolution sensors simultaneously. This makes it ideal for applications requiring real-time computer vision, natural language processing, sensor fusion, and complex AI decision-making at the edge.\u003c\/p\u003e\n\n\u003ch2\u003eFlexible Power Modes for Every Application\u003c\/h2\u003e\n\u003cp\u003eThe module ships with configurable power profiles optimized for different use cases. Power modes include \u003cstrong\u003e10W, 15W, 20W, and 25W\u003c\/strong\u003e settings that can be switched at runtime, allowing developers to customize performance based on thermal constraints and application requirements. The Super Mode software upgrade boosts performance by up to 70%, reaching 117 TOPS for demanding workloads.\u003c\/p\u003e\n\n\u003ch2\u003eRich Connectivity and I\/O Interfaces\u003c\/h2\u003e\n\u003cp\u003eDespite its compact size, the Jetson Orin NX 8GB offers extensive connectivity options including:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePCIe 4.0 x4\u003c\/strong\u003e for high-speed storage and peripheral expansion\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHigh-speed CSI camera interfaces\u003c\/strong\u003e for multi-sensor computer vision applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUSB, UART, I2C, SPI, and GPIO\u003c\/strong\u003e for diverse sensor and actuator connectivity\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGigabit Ethernet\u003c\/strong\u003e and optional Wi-Fi\/Bluetooth support for network connectivity\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDisplay outputs\u003c\/strong\u003e supporting HDMI and DisplayPort for visualization and monitoring\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eApplications and Use Cases\u003c\/h2\u003e\n\u003cp\u003eThe Jetson Orin NX 8GB module is designed for production deployment in demanding edge AI applications including:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAutonomous Mobile Robots (AMR)\u003c\/strong\u003e: Navigation, obstacle avoidance, and manipulation tasks with ROS 2 support\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIndustrial Automation\u003c\/strong\u003e: Real-time defect detection, quality inspection, and predictive maintenance\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSmart Cities\u003c\/strong\u003e: Intelligent traffic management, surveillance analytics, and infrastructure monitoring\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMedical Instruments\u003c\/strong\u003e: AI-assisted diagnostics and image analysis for healthcare applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRetail and Logistics\u003c\/strong\u003e: Automated checkout, inventory management, and warehouse optimization\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAgriculture\u003c\/strong\u003e: Precision farming, crop monitoring, and autonomous agricultural vehicles\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eComplete Software Ecosystem\u003c\/h2\u003e\n\u003cp\u003eAll NVIDIA Jetson modules are supported by the same comprehensive software stack, enabling developers to \u003cstrong\u003edevelop once and deploy everywhere\u003c\/strong\u003e. The platform includes \u003cstrong\u003eNVIDIA JetPack SDK\u003c\/strong\u003e with optimized libraries for AI, computer vision, and GPU computing, \u003cstrong\u003eIsaac ROS packages\u003c\/strong\u003e for robotics perception and navigation, support for popular AI frameworks (TensorFlow, PyTorch, ONNX), and compatibility with \u003cstrong\u003eUbuntu 22.04 and ROS 2 Humble\u003c\/strong\u003e. NVIDIA provides at least 7 years of software support from the 2023 release date.\u003c\/p\u003e\n\n\u003ch2\u003eWhat's in the Box\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson Orin NX 8GB System-on-Module\u003c\/li\u003e\n\u003cli\u003eProduct documentation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cem\u003eNote: This is a module only. A carrier board is required for operation and is sold separately.\u003c\/em\u003e\u003c\/p\u003e\n\n\u003ch2\u003eFull Specifications\u003c\/h2\u003e\n\n\u003ch3\u003eProcessing\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Architecture\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Ampere with 1024 CUDA cores and 32 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003eUp to 70 TOPS (117 TOPS in Super Mode)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e6-core Arm Cortex-A78AE (64-bit ARMv8.2)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5 DRAM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd\u003e102.4 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Frequency\u003c\/td\u003e\n\u003ctd\u003e3200 MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eVideo and Multimedia\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Encode\u003c\/td\u003e\n\u003ctd\u003eH.265 (HEVC), H.264\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Decode\u003c\/td\u003e\n\u003ctd\u003eH.265 (HEVC), H.264, VP9, AV1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eConnectivity\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePCIe\u003c\/td\u003e\n\u003ctd\u003ePCIe 4.0 x4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetwork\u003c\/td\u003e\n\u003ctd\u003eGigabit Ethernet support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003eUSB 3.2, USB 2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003eHDMI, DisplayPort\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003ePower and Environment\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Modes\u003c\/td\u003e\n\u003ctd\u003e10W, 15W, 20W, 25W (configurable)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTDP\u003c\/td\u003e\n\u003ctd\u003e10W to 25W depending on mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003ePhysical\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eForm Factor\u003c\/td\u003e\n\u003ctd\u003e260-pin SO-DIMM module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e69.6mm × 45mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003eNot specified by manufacturer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eSoftware\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSoftware Support\u003c\/td\u003e\n\u003ctd\u003eNVIDIA JetPack SDK, Isaac ROS, Ubuntu 22.04\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCUDA Support\u003c\/td\u003e\n\u003ctd\u003eCUDA 11.4+\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGraphics API\u003c\/td\u003e\n\u003ctd\u003eOpenGL 4.6, OpenGL ES 3.2, Vulkan 1.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Frameworks\u003c\/td\u003e\n\u003ctd\u003eTensorFlow, PyTorch, ONNX Runtime, TensorRT\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSupport Period\u003c\/td\u003e\n\u003ctd\u003eMinimum 7 years (through 2030)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003cp\u003e\u003cem\u003eSpecifications are sourced from the manufacturer product page and may be updated.\u003c\/em\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44324779229262,"sku":"PA-NVIDIAJETSONORINN-3","price":1290.0,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0676\/3134\/9838\/files\/jetson-orin-nx-16gb-module_d62b9fbb-89b9-4a99-b5d2-40e6ae11fbba.png?v=1789258210","url":"https:\/\/projectorsaustralia.com.au\/products\/nvidia-jetson-orin-nx-8gb-ai-computing-module-70-tops-ampere-gpu","provider":"Projectors Australia","version":"1.0","type":"link"}