{"product_id":"nvidia-jetson-orin-nano-8gb-ai-module-40-tops-ampere-gpu-edge-computing","title":"NVIDIA Jetson Orin Nano 8GB AI Module 40 TOPS Ampere GPU Edge Computing","description":"\u003cdiv\u003e\n\u003ch1\u003eNVIDIA Jetson Orin Nano 8GB AI Edge Computing Module\u003c\/h1\u003e\n\u003cp\u003eThe \u003cstrong\u003eNVIDIA Jetson Orin Nano 8GB Module\u003c\/strong\u003e is a powerful system-on-module (SoM) that delivers \u003cstrong\u003eup to 40 TOPS of AI performance\u003c\/strong\u003e in the smallest Jetson form factor. Featuring a \u003cstrong\u003e1024-core NVIDIA Ampere architecture GPU\u003c\/strong\u003e with 32 Tensor Cores and a \u003cstrong\u003e6-core Arm Cortex-A78AE CPU\u003c\/strong\u003e, this module brings professional-grade edge AI capabilities to robotics, vision systems, IoT devices, and industrial applications. With power consumption configurable from 7W to 15W, it offers up to \u003cstrong\u003e80× the performance\u003c\/strong\u003e of the previous-generation Jetson Nano while maintaining a compact, energy-efficient design.\u003c\/p\u003e\n\n\u003ch2\u003eWhy Choose the Jetson Orin Nano 8GB Module\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eExceptional AI Performance\u003c\/strong\u003e: Up to 40 TOPS for running multiple concurrent AI inference pipelines simultaneously\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHigh-Speed Memory\u003c\/strong\u003e: 8GB 128-bit LPDDR5 memory with 68GB\/s bandwidth for data-intensive applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFlexible Power Options\u003c\/strong\u003e: Configurable between 7W and 15W to balance performance and power efficiency\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAmpere GPU Architecture\u003c\/strong\u003e: 1024 CUDA cores and 32 Tensor Cores for accelerated deep learning and computer vision\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIndustrial-Grade Computing\u003c\/strong\u003e: 6-core ARM CPU perfect for edge robotics, vision AI, and autonomous machines\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePin-Compatible Design\u003c\/strong\u003e: 260-pin SO-DIMM connector compatible with Orin NX modules for design flexibility\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eUnmatched Edge AI Performance\u003c\/h2\u003e\n\u003cp\u003eThe Jetson Orin Nano 8GB delivers desktop-class AI performance in a module roughly the size of a laptop memory stick. The \u003cstrong\u003eNVIDIA Ampere GPU\u003c\/strong\u003e provides hardware-accelerated encoding and decoding for multiple video streams, making it ideal for multi-camera vision systems, warehouse robots, and intelligent surveillance applications. With support for modern AI frameworks including \u003cstrong\u003eTensorFlow, PyTorch, and NVIDIA Isaac ROS\u003c\/strong\u003e, developers can deploy complex neural networks for object detection, pose estimation, natural language processing, and more.\u003c\/p\u003e\n\n\u003ch2\u003eHigh-Speed Connectivity and Expandability\u003c\/h2\u003e\n\u003cp\u003eThe module supports \u003cstrong\u003ePCIe Gen3, USB 3.2, MIPI CSI-2\u003c\/strong\u003e camera interfaces, Gigabit Ethernet, and a wide range of GPIOs. Multiple high-resolution cameras can be connected simultaneously via MIPI CSI connectors supporting up to 4-lane configurations. Storage options include microSD and \u003cstrong\u003eNVMe SSD support\u003c\/strong\u003e for fast data logging and model storage. This makes the Orin Nano ideal for applications requiring multiple sensors and real-time processing.\u003c\/p\u003e\n\n\u003ch2\u003eSoftware Stack and Ecosystem\u003c\/h2\u003e\n\u003cp\u003eJetson Orin Nano runs \u003cstrong\u003eNVIDIA JetPack SDK\u003c\/strong\u003e, providing a complete Linux-based development environment with pre-configured libraries for AI, computer vision, and GPU computing. Developers gain access to \u003cstrong\u003eCUDA, cuDNN, TensorRT\u003c\/strong\u003e, and cloud-native workflows identical to those used in NVIDIA data centres, enabling seamless transition from prototype to production. The module is fully compatible with \u003cstrong\u003eNVIDIA Isaac\u003c\/strong\u003e for robotics, \u003cstrong\u003eDeepStream\u003c\/strong\u003e for vision AI, and \u003cstrong\u003eRiva\u003c\/strong\u003e for conversational AI applications.\u003c\/p\u003e\n\n\u003ch2\u003eIdeal Applications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eAutonomous mobile robots and delivery drones\u003c\/li\u003e\n\u003cli\u003eIndustrial inspection and quality control systems\u003c\/li\u003e\n\u003cli\u003eSmart cameras and vision AI appliances\u003c\/li\u003e\n\u003cli\u003eRetail analytics and people counting\u003c\/li\u003e\n\u003cli\u003eEdge AI inference for IoT gateways\u003c\/li\u003e\n\u003cli\u003eAgricultural robots and precision farming\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eWhat's in the Box\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson Orin Nano 8GB Module (System-on-Module)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eNote\u003c\/strong\u003e: This is a bare module and requires a carrier board, storage media (microSD or NVMe), power supply, and thermal solution for operation. For a complete ready-to-use system, consider the Jetson Orin Nano Developer Kit.\u003c\/p\u003e\n\n\u003ch2\u003eFull Specifications\u003c\/h2\u003e\n\n\u003ch3\u003eCompute\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e1024-core NVIDIA Ampere architecture with 32 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e6-core Arm Cortex-A78AE v8.2 64-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003e40 TOPS (INT8)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd\u003e68 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eVideo\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Encode\u003c\/td\u003e\n\u003ctd\u003e1080p30 (supported by 1-2 CPU cores)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Decode\u003c\/td\u003e\n\u003ctd\u003e1× 4K60 (H.265), 2× 4K30 (H.265), 5× 1080p60 (H.265), 11× 1080p30 (H.265)\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 Gen3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003eUSB 3.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera Interfaces\u003c\/td\u003e\n\u003ctd\u003eMIPI CSI-2 (multiple lanes supported)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage Support\u003c\/td\u003e\n\u003ctd\u003emicroSD card slot, NVMe SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetworking\u003c\/td\u003e\n\u003ctd\u003eGigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003ePower and Physical\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower\u003c\/td\u003e\n\u003ctd\u003e7W - 15W (configurable)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eForm Factor\u003c\/td\u003e\n\u003ctd\u003e260-pin SO-DIMM connector (smallest Jetson form factor)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePin Compatibility\u003c\/td\u003e\n\u003ctd\u003ePin-compatible with Jetson Orin NX modules\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\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eLinux (NVIDIA JetPack SDK)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Frameworks\u003c\/td\u003e\n\u003ctd\u003eTensorFlow, PyTorch, NVIDIA Isaac ROS, DeepStream, Riva\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSDK Support\u003c\/td\u003e\n\u003ctd\u003eCUDA, cuDNN, TensorRT, NVIDIA Metropolis, Isaac\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003cp\u003e\u003cem\u003eSpecifications are sourced from the official NVIDIA product page and may be updated.\u003c\/em\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44324785061966,"sku":"PA-NVIDIAJETSONORINN-4","price":880.0,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0676\/3134\/9838\/files\/Jetson-Orin-Nano-8GB-Module-TopDown_20_282_29.jpg?v=1789258281","url":"https:\/\/projectorsaustralia.com.au\/products\/nvidia-jetson-orin-nano-8gb-ai-module-40-tops-ampere-gpu-edge-computing","provider":"Projectors Australia","version":"1.0","type":"link"}