{"title":"AI \u0026 Developer Kits","description":null,"products":[{"product_id":"nvidia-jetson-orin-nx-16gb-ai-module-100-tops-edge-computing-som","title":"NVIDIA Jetson Orin NX 16GB AI Module 100 TOPS Edge Computing SOM","description":"\u003cdiv\u003e\n\u003ch1\u003eNVIDIA Jetson Orin NX 16GB AI Computing Module\u003c\/h1\u003e\n\u003cp\u003eThe \u003cstrong\u003eNVIDIA Jetson Orin NX 16GB\u003c\/strong\u003e is a powerful system-on-module (SOM) designed for next-generation edge AI and robotics applications. Smaller than a credit card at just \u003cstrong\u003e69.6 × 45mm\u003c\/strong\u003e, this compact module delivers up to \u003cstrong\u003e100 TOPS of AI performance\u003c\/strong\u003e with power configurable between \u003cstrong\u003e10W and 25W\u003c\/strong\u003e. 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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. 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This system-on-module supports multiple concurrent AI application pipelines with next-generation deep learning accelerators (2x NVDLA v2.0), vision accelerators (PVA v2.0), high-speed I\/O, and fast memory bandwidth for running the most complex AI models.\u003c\/p\u003e\n\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e200 TOPS AI Performance\u003c\/strong\u003e: Up to 108 INT8 Sparse TOPS or 54 FP16 TFLOPS for demanding AI inference workloads\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA Ampere GPU\u003c\/strong\u003e: 1792 CUDA cores and 56 3rd-generation tensor cores for accelerated computing\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e8-Core ARM CPU\u003c\/strong\u003e: Arm Cortex-A78AE v8.2 64-bit processor with 2MB L2 + 4MB L3 cache, up to 2.2 GHz\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e32GB LPDDR5 Memory\u003c\/strong\u003e: High-speed 256-bit memory with 204.8 GB\/s bandwidth\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e64GB eMMC 5.1 Storage\u003c\/strong\u003e: Onboard storage for operating system and applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFlexible Power Options\u003c\/strong\u003e: Configurable between 15W and 40W for optimal performance per watt\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCompact Form Factor\u003c\/strong\u003e: 100mm × 87mm module with 699-pin connector and integrated thermal transfer plate\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMultiple AI Accelerators\u003c\/strong\u003e: 2x NVDLA v2.0 deep learning accelerators and PVA v2.0 vision accelerator\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eAdvanced AI Software Stack\u003c\/h2\u003e\n\u003cp\u003eJetson AGX Orin runs the comprehensive \u003cstrong\u003eNVIDIA AI software stack\u003c\/strong\u003e and supports industry-leading frameworks. Use-case specific application frameworks include \u003cstrong\u003eNVIDIA Isaac for robotics\u003c\/strong\u003e, \u003cstrong\u003eDeepStream for vision AI\u003c\/strong\u003e, and \u003cstrong\u003eRiva for conversational AI\u003c\/strong\u003e. The module is compatible with \u003cstrong\u003eJetPack SDK\u003c\/strong\u003e, which includes a complete Linux-based board support package, CUDA toolkit, cuDNN, TensorRT, and development tools for accelerated AI development.\u003c\/p\u003e\n\n\u003ch2\u003eIdeal Applications\u003c\/h2\u003e\n\u003cp\u003eThe Jetson AGX Orin 32GB module excels in:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobotics\u003c\/strong\u003e: Autonomous mobile robots (AMRs), collaborative robots, and warehouse automation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComputer Vision\u003c\/strong\u003e: Multi-camera processing, object detection, and real-time video analytics\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNatural Language Processing\u003c\/strong\u003e: Conversational AI and speech recognition at the edge\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e3D Perception\u003c\/strong\u003e: Depth sensing and spatial AI for autonomous navigation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMulti-Sensor Fusion\u003c\/strong\u003e: Combining data from cameras, LiDAR, radar, and other sensors\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIndustrial AI\u003c\/strong\u003e: Quality inspection, predictive maintenance, and process optimization\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHealthcare\u003c\/strong\u003e: Medical imaging analysis and diagnostic AI systems\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSmart Cities\u003c\/strong\u003e: Traffic management and intelligent infrastructure\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eHigh-Speed Connectivity\u003c\/h2\u003e\n\u003cp\u003eThe module provides extensive connectivity options through its 699-pin Molex Mirror Mezz connector, including:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ePCIe Gen4 interfaces (up to 8 lanes)\u003c\/li\u003e\n\u003cli\u003eUSB 3.2 Gen2 (10 Gbps)\u003c\/li\u003e\n\u003cli\u003eMulti-Gigabit Ethernet (MGBE) up to 10 Gbps\u003c\/li\u003e\n\u003cli\u003eMIPI CSI-2 camera interfaces supporting up to 6 cameras (16 via virtual channels)\u003c\/li\u003e\n\u003cli\u003eDisplay outputs (HDMI 2.1, DisplayPort 1.4a)\u003c\/li\u003e\n\u003cli\u003eGPIO, I2C, SPI, UART, and CAN interfaces\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eDeveloper Ecosystem and Support\u003c\/h2\u003e\n\u003cp\u003eAccess a broad ecosystem of partners offering AI and system software, developer tools, cameras, sensors, carrier boards, and custom development services. Accelerate development with \u003cstrong\u003eNVIDIA Omniverse Replicator\u003c\/strong\u003e for synthetic data generation and \u003cstrong\u003eNVIDIA TAO Toolkit\u003c\/strong\u003e for fine-tuning pre-trained AI models from the NGC catalog.\u003c\/p\u003e\n\n\u003ch2\u003eTechnical Advantages\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eForm-Factor Compatible\u003c\/strong\u003e: Pin-compatible with Jetson AGX Xavier for easy upgrades\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEfficient SOM Design\u003c\/strong\u003e: Integrated power management, memory, and thermal interface\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProduction Ready\u003c\/strong\u003e: Designed for deployment in commercial products\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eScalable Platform\u003c\/strong\u003e: Part of the Jetson Orin family with multiple performance tiers\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eWhat's Included\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson AGX Orin 32GB production module\u003c\/li\u003e\n\u003cli\u003eIntegrated thermal transfer plate\u003c\/li\u003e\n\u003cli\u003e699-pin board-to-board connector\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eFull Specifications\u003c\/h2\u003e\n\n\u003ch3\u003eAI Performance\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003e200 TOPS (INT8)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Performance\u003c\/td\u003e\n\u003ctd\u003eUp to 108 INT8 Sparse TOPS or 54 FP16 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCUDA Performance\u003c\/td\u003e\n\u003ctd\u003eUp to 3.365 FP32 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eGPU\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eArchitecture\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Ampere\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCUDA Cores\u003c\/td\u003e\n\u003ctd\u003e1792\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTensor Cores\u003c\/td\u003e\n\u003ctd\u003e56 (3rd Generation)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMax GPU Frequency\u003c\/td\u003e\n\u003ctd\u003e930 MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eCPU\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eProcessor\u003c\/td\u003e\n\u003ctd\u003e8-core Arm Cortex-A78AE v8.2 64-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCache\u003c\/td\u003e\n\u003ctd\u003e2MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMax CPU Frequency\u003c\/td\u003e\n\u003ctd\u003e2.2 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eAI Accelerators\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eDeep Learning Accelerator\u003c\/td\u003e\n\u003ctd\u003e2x NVDLA v2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDLA Max Frequency\u003c\/td\u003e\n\u003ctd\u003e1.4 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVision Accelerator\u003c\/td\u003e\n\u003ctd\u003ePVA v2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eMemory\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem Memory\u003c\/td\u003e\n\u003ctd\u003e32GB 256-bit LPDDR5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd\u003e204.8 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e64GB eMMC 5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eVideo Processing\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Encode\u003c\/td\u003e\n\u003ctd\u003e2x 4K60 | 4x 4K30 | 8x 1080p60 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Decode\u003c\/td\u003e\n\u003ctd\u003e2x 8K30 | 8x 4K30 | 18x 1080p60 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eJPEG Acceleration\u003c\/td\u003e\n\u003ctd\u003eNVJPG for hardware-accelerated JPEG encoding\/decoding\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eCamera Support\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMIPI CSI-2\u003c\/td\u003e\n\u003ctd\u003eUp to 6 cameras (16 via virtual channels)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaximum Bandwidth\u003c\/td\u003e\n\u003ctd\u003e16 lanes MIPI CSI-2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003ePower\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Modes\u003c\/td\u003e\n\u003ctd\u003e15W to 40W (configurable)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInput Voltage\u003c\/td\u003e\n\u003ctd\u003e5V, 7V-20V\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\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e100mm × 87mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eConnector\u003c\/td\u003e\n\u003ctd\u003e699-pin Molex Mirror Mezz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eThermal Solution\u003c\/td\u003e\n\u003ctd\u003eIntegrated thermal transfer plate\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eSoftware Support\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eNVIDIA JetPack SDK (Linux-based)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Frameworks\u003c\/td\u003e\n\u003ctd\u003eTensorRT, cuDNN, CUDA Toolkit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eApplication Frameworks\u003c\/td\u003e\n\u003ctd\u003eIsaac (robotics), DeepStream (vision AI), Riva (conversational AI)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDevelopment Tools\u003c\/td\u003e\n\u003ctd\u003eOmniverse Replicator, TAO Toolkit, NGC Model Catalog\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 documentation and may be updated. Please refer to the NVIDIA Jetson Download Center for the latest datasheets and technical documentation.\u003c\/em\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44324791058510,"sku":"PA-NVIDIA90013701004","price":3310.0,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0676\/3134\/9838\/files\/900-13701-0040-000_1.jpg?v=1789258366"},{"product_id":"nvidia-jetson-agx-orin-64gb-ai-module-275-tops-ampere-gpu-12-core-cpu","title":"NVIDIA Jetson AGX Orin 64GB AI Module 275 TOPS Ampere GPU 12-Core CPU","description":"\u003cdiv\u003e\n\u003ch1\u003eNVIDIA Jetson AGX Orin 64GB AI Computing Module\u003c\/h1\u003e\n\u003cp\u003eThe \u003cstrong\u003eNVIDIA Jetson AGX Orin 64GB module\u003c\/strong\u003e delivers groundbreaking AI performance for next-generation robotics, autonomous machines, and edge AI applications. With \u003cstrong\u003eup to 275 TOPS of AI performance\u003c\/strong\u003e and power configurable between \u003cstrong\u003e15W and 60W\u003c\/strong\u003e, this system-on-module provides more than 8X the performance of Jetson AGX Xavier in the same compact form-factor. Powered by the \u003cstrong\u003eNVIDIA Ampere architecture\u003c\/strong\u003e, it features a \u003cstrong\u003e2048-core GPU with 64 Tensor cores\u003c\/strong\u003e, a \u003cstrong\u003e12-core Arm Cortex-A78AE 64-bit CPU\u003c\/strong\u003e, and \u003cstrong\u003e64GB of LPDDR5 memory\u003c\/strong\u003e with 204.8GB\/s bandwidth, enabling multiple concurrent AI pipelines and complex model deployment.\u003c\/p\u003e\n\n\u003ch2\u003eUnmatched AI Performance for Robotics and Edge Computing\u003c\/h2\u003e\n\u003cp\u003eBuilt for developers and engineers working on advanced autonomous systems, the Jetson AGX Orin 64GB module supports demanding tasks including \u003cstrong\u003enatural language understanding, 3D perception, multi-sensor fusion, and real-time vision AI\u003c\/strong\u003e. With \u003cstrong\u003e2x NVDLA v2.0 deep learning accelerators\u003c\/strong\u003e and \u003cstrong\u003ePVA v2.0 vision accelerators\u003c\/strong\u003e, it delivers the compute power needed for industrial robotics, smart cities, autonomous vehicles, drones, healthcare devices, and more.\u003c\/p\u003e\n\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e275 TOPS AI performance\u003c\/strong\u003e: Up to 170 Sparse TOPS of INT8 Tensor compute and 5.3 FP32 TFLOPS of CUDA compute\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e2048 CUDA cores \u0026amp; 64 Tensor cores\u003c\/strong\u003e: NVIDIA Ampere architecture GPU with next-generation AI acceleration\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e12-core Arm Cortex-A78AE CPU\u003c\/strong\u003e: 64-bit processing with 3MB L2 and 6MB L3 cache, up to 2.2GHz\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e64GB LPDDR5 memory\u003c\/strong\u003e: 256-bit interface with 204.8GB\/s bandwidth for high-throughput AI workloads\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e64GB eMMC 5.1 storage\u003c\/strong\u003e: Fast onboard storage for operating systems and applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eConfigurable power modes\u003c\/strong\u003e: 15W to 60W for flexibility across deployment scenarios\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCompact system-on-module design\u003c\/strong\u003e: 100mm × 87mm form-factor, pin-compatible with Jetson AGX Xavier\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAdvanced accelerators\u003c\/strong\u003e: 2x NVDLA v2.0 deep learning engines and PVA v2.0 vision processor\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eComprehensive Software Ecosystem\u003c\/h2\u003e\n\u003cp\u003eThe Jetson AGX Orin runs the complete \u003cstrong\u003eNVIDIA AI software stack\u003c\/strong\u003e, including \u003cstrong\u003eJetPack SDK, Isaac for robotics, DeepStream for vision AI, and Riva for conversational AI\u003c\/strong\u003e. Developers can leverage NVIDIA Omniverse Replicator for synthetic data generation, TAO toolkit for fine-tuning pretrained models from the NGC catalog, and full CUDA, TensorRT, and cuDNN support for accelerated inferencing. An extensive ecosystem of partners provides additional AI software, cameras, sensors, carrier boards, and custom development services.\u003c\/p\u003e\n\n\u003ch2\u003eIdeal Applications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eAutonomous mobile robots (AMRs) and collaborative robots\u003c\/li\u003e\n\u003cli\u003eIndustrial automation and machine vision systems\u003c\/li\u003e\n\u003cli\u003eSmart city infrastructure and edge analytics\u003c\/li\u003e\n\u003cli\u003eAutonomous vehicles and drones\u003c\/li\u003e\n\u003cli\u003eHealthcare imaging and diagnostic devices\u003c\/li\u003e\n\u003cli\u003eRetail automation and service robots\u003c\/li\u003e\n\u003cli\u003eAgriculture and precision farming equipment\u003c\/li\u003e\n\u003cli\u003eMulti-camera surveillance and video analytics\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eDesigned for Production Deployment\u003c\/h2\u003e\n\u003cp\u003eThe Jetson AGX Orin 64GB module is a production-ready system-on-module engineered for integration into commercial products. Its compact form-factor, flexible power modes, and compatibility with carrier boards make it ideal for developing and deploying advanced AI solutions at scale. With support for high-speed PCIe, USB 3.2, MGBE Ethernet, MIPI CSI camera interfaces, and more, it provides the connectivity needed for real-world edge AI applications.\u003c\/p\u003e\n\n\u003ch2\u003eWhat's in the Box\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson AGX Orin 64GB Module\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eFull Specifications\u003c\/h2\u003e\n\u003ch3\u003eAI \u0026amp; GPU\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003e275 TOPS (INT8)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Architecture\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Ampere\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCUDA Cores\u003c\/td\u003e\n\u003ctd\u003e2048\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTensor Cores\u003c\/td\u003e\n\u003ctd\u003e64 (3rd generation)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Max Frequency\u003c\/td\u003e\n\u003ctd\u003e1.3 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFP32 Performance\u003c\/td\u003e\n\u003ctd\u003e5.3 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eCPU\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e12-core Arm Cortex-A78AE v8.2 64-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU Max Frequency\u003c\/td\u003e\n\u003ctd\u003e2.2 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU Cache\u003c\/td\u003e\n\u003ctd\u003e3MB L2 + 6MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eMemory \u0026amp; Storage\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e64GB 256-bit LPDDR5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd\u003e204.8 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e64GB eMMC 5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eAccelerators\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eDL Accelerator\u003c\/td\u003e\n\u003ctd\u003e2x NVDLA v2.0 (1.6 GHz max frequency)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVision Accelerator\u003c\/td\u003e\n\u003ctd\u003ePVA v2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003ePower\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModule Power\u003c\/td\u003e\n\u003ctd\u003e15W - 60W (configurable)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVoltage Input\u003c\/td\u003e\n\u003ctd\u003e5V, 7V-20V\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\u003e100mm × 87mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModule Type\u003c\/td\u003e\n\u003ctd\u003eSystem-on-Module (SOM)\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":44324795023438,"sku":"PA-NVIDIAJETSONAGXOR","price":5160.0,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0676\/3134\/9838\/files\/Jetson-AGX-Orin-Module-Front_20_282_29.png?v=1789258430"},{"product_id":"nvidia-jetson-agx-orin-64gb-ai-computing-module-275-tops-performance","title":"NVIDIA Jetson AGX Orin 64GB AI Computing Module 275 TOPS Performance","description":"\u003cdiv\u003e\n\u003ch1\u003eNVIDIA Jetson AGX Orin 64GB AI Computing Module 275 TOPS Performance\u003c\/h1\u003e\n\u003cp\u003eThe \u003cstrong\u003eNVIDIA Jetson AGX Orin 64GB module\u003c\/strong\u003e delivers up to \u003cstrong\u003e275 TOPS of AI performance\u003c\/strong\u003e with power configurable between \u003cstrong\u003e15W and 60W\u003c\/strong\u003e, giving you more than 8X the performance of Jetson AGX Xavier in the same compact form factor. Designed for \u003cstrong\u003erobotics, autonomous machines, edge AI, and vision AI applications\u003c\/strong\u003e, this advanced system-on-module (SOM) is the powerhouse behind next-generation intelligent systems across industries from manufacturing to smart cities, drones, and autonomous vehicles.\u003c\/p\u003e\n\n\u003ch2\u003eWhy You'll Love the Jetson AGX Orin 64GB\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eExceptional AI Performance\u003c\/strong\u003e: Up to 275 TOPS enables deployment of large, complex AI models for natural language understanding, 3D perception, and multi-sensor fusion\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA Ampere GPU Architecture\u003c\/strong\u003e: 2048 CUDA cores and 64 Tensor cores deliver advanced parallel computing with ray-tracing and TensorRT support\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHigh-Speed Memory \u0026amp; Bandwidth\u003c\/strong\u003e: 64GB LPDDR5 unified memory with 204.8 GB\/s bandwidth feeds multiple concurrent AI application pipelines seamlessly\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFlexible Power Configuration\u003c\/strong\u003e: Scale performance between 15W and 60W to match your application's requirements\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCompact, Credit-Card-Sized Form Factor\u003c\/strong\u003e: 100mm × 87mm module enables integration into space-constrained robotics and embedded designs\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComprehensive AI Software Stack\u003c\/strong\u003e: Runs JetPack SDK, NVIDIA Isaac for robotics, DeepStream for vision AI, and Riva for conversational AI\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eUnmatched AI Computing Power\u003c\/h2\u003e\n\u003cp\u003eAt the heart of the Jetson AGX Orin 64GB is the \u003cstrong\u003eNVIDIA Ampere architecture GPU\u003c\/strong\u003e with \u003cstrong\u003e2048 CUDA cores\u003c\/strong\u003e and \u003cstrong\u003e64 third-generation Tensor cores\u003c\/strong\u003e. This delivers up to \u003cstrong\u003e170 INT8 Sparse TOPS\u003c\/strong\u003e of Tensor compute and up to \u003cstrong\u003e5.3 FP32 TFLOPS\u003c\/strong\u003e of CUDA compute. The module also features \u003cstrong\u003edual NVDLA v2.0 deep learning accelerators\u003c\/strong\u003e and a \u003cstrong\u003eProgrammable Vision Accelerator (PVA) v2.0\u003c\/strong\u003e, enabling dedicated hardware acceleration for computer vision tasks like warping, image pyramids, filtering, and feature detection.\u003c\/p\u003e\n\n\u003ch2\u003eHigh-Performance CPU \u0026amp; Memory\u003c\/h2\u003e\n\u003cp\u003eThe \u003cstrong\u003e12-core Arm Cortex-A78AE v8.2 64-bit CPU\u003c\/strong\u003e is arranged in three clusters of four cores each, with 2MB L3 cache per cluster and a 4MB system cache. Combined with \u003cstrong\u003e64GB of 256-bit LPDDR5 memory\u003c\/strong\u003e running at 204.8 GB\/s bandwidth, the Jetson AGX Orin effortlessly handles demanding AI inference workloads, real-time vision processing, and multi-stream video analytics.\u003c\/p\u003e\n\n\u003ch2\u003eBuilt for Real-World AI Applications\u003c\/h2\u003e\n\u003cp\u003eWhether you're building \u003cstrong\u003eautonomous mobile robots (AMR)\u003c\/strong\u003e, \u003cstrong\u003eindustrial inspection systems\u003c\/strong\u003e, \u003cstrong\u003eintelligent video analytics\u003c\/strong\u003e, \u003cstrong\u003edrones\u003c\/strong\u003e, or \u003cstrong\u003emedical imaging devices\u003c\/strong\u003e, the Jetson AGX Orin 64GB delivers the compute power and flexibility you need. It supports multiple concurrent AI pipelines for tasks like object detection, pose estimation, semantic segmentation, speech recognition, and natural language processing – all running simultaneously on a single device.\u003c\/p\u003e\n\n\u003ch2\u003eDeveloper-Friendly Ecosystem\u003c\/h2\u003e\n\u003cp\u003eThe Jetson platform is supported by \u003cstrong\u003eNVIDIA JetPack SDK\u003c\/strong\u003e, which includes a Linux-based board support package, CUDA toolkit, cuDNN, TensorRT, and a comprehensive set of computer vision and AI libraries. Use \u003cstrong\u003eNVIDIA TAO Toolkit\u003c\/strong\u003e to fine-tune pretrained AI models from the NGC catalog, and leverage \u003cstrong\u003eOmniverse Replicator\u003c\/strong\u003e for synthetic data generation. Ecosystem partners provide additional software, cameras, sensors, carrier boards, and custom design services to accelerate your product development.\u003c\/p\u003e\n\n\u003ch2\u003eHigh-Speed I\/O \u0026amp; Connectivity\u003c\/h2\u003e\n\u003cp\u003eThe module exposes a rich set of interfaces through a \u003cstrong\u003e699-pin board-to-board connector\u003c\/strong\u003e, including:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePCIe Gen 4\u003c\/strong\u003e: 7 controllers with 22 shared lanes, up to 16 Gbps per lane\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUSB 3.2 Gen 2\u003c\/strong\u003e: Up to 3 ports at 10 Gbps, plus USB 2.0 support\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHigh-speed Ethernet\u003c\/strong\u003e: Multi-gigabit Ethernet (MGBE) support\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCamera Interfaces\u003c\/strong\u003e: Multiple MIPI CSI-2 camera inputs for vision AI applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDisplay Outputs\u003c\/strong\u003e: DisplayPort and HDMI support for visualization and debugging\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSerial Interfaces\u003c\/strong\u003e: UART, SPI, I2C, I2S for sensors and peripherals\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eForm Factor \u0026amp; Pin Compatibility\u003c\/h2\u003e\n\u003cp\u003eThe \u003cstrong\u003eJetson AGX Orin 64GB SOM\u003c\/strong\u003e measures \u003cstrong\u003e100mm × 87mm\u003c\/strong\u003e and is \u003cstrong\u003eform-factor and pin-compatible\u003c\/strong\u003e with Jetson AGX Xavier, enabling easy migration and reuse of existing carrier board designs. The standardized thermal and mechanical interfaces simplify integration and protect the module from external mechanical forces.\u003c\/p\u003e\n\n\u003ch2\u003eWhat's in the Box\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson AGX Orin 64GB System-on-Module (SOM)\u003c\/li\u003e\n\u003cli\u003eQuick start documentation (digital)\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eFull Specifications\u003c\/h2\u003e\n\n\u003ch3\u003eGPU\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eArchitecture\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Ampere with ray-tracing cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCUDA Cores\u003c\/td\u003e\n\u003ctd\u003e2048\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTensor Cores\u003c\/td\u003e\n\u003ctd\u003e64 (3rd generation)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Max Frequency\u003c\/td\u003e\n\u003ctd\u003eVariable based on power mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003eUp to 275 TOPS (INT8 Sparse with all accelerators), up to 170 INT8 Sparse TOPS (Tensor cores), up to 5.3 FP32 TFLOPS (CUDA)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eCPU\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e12-core Arm Cortex-A78AE v8.2 64-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU Clusters\u003c\/td\u003e\n\u003ctd\u003e3 clusters of 4 cores each\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eL3 Cache\u003c\/td\u003e\n\u003ctd\u003e2MB per cluster\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem Cache\u003c\/td\u003e\n\u003ctd\u003e4MB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eMemory\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e64GB 256-bit LPDDR5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd\u003e204.8 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e64GB eMMC 5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eAI Accelerators\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eDeep Learning Accelerator\u003c\/td\u003e\n\u003ctd\u003e2x NVDLA v2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVision Accelerator\u003c\/td\u003e\n\u003ctd\u003ePVA v2.0 (Programmable Vision Accelerator)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eVideo Encode\/Decode\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Encoder\u003c\/td\u003e\n\u003ctd\u003e2x 4K60 (H.265) | 6x 4K30 (H.265) | 14x 1080p60 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Decoder\u003c\/td\u003e\n\u003ctd\u003e2x 8K30 (H.265) | 6x 4K60 (H.265) | 16x 1080p60 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eConnectivity \u0026amp; I\/O\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePCIe\u003c\/td\u003e\n\u003ctd\u003e7 controllers, 22 shared lanes, PCIe Gen 4 (up to 16 Gbps\/lane)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003eUp to 3x USB 3.2 Gen 2 (10 Gbps), up to 4x USB 2.0, 1x USB 3.2 Gen 1 device mode (5 Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003eMulti-gigabit Ethernet (MGBE) support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera Interfaces\u003c\/td\u003e\n\u003ctd\u003eMultiple MIPI CSI-2 (Virtual channels supported)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003eDisplayPort, HDMI (via carrier board implementation)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSerial\/Other\u003c\/td\u003e\n\u003ctd\u003e4x UART, 3x SPI, 8x I2C, 4x I2S\/DAP audio ports, 2x PDM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003ePower\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Modes\u003c\/td\u003e\n\u003ctd\u003eConfigurable between 15W and 60W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaximum Performance Mode\u003c\/td\u003e\n\u003ctd\u003eMAXN mode up to 60W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Inputs\u003c\/td\u003e\n\u003ctd\u003eThree power inputs via module connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eMechanical\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eForm Factor\u003c\/td\u003e\n\u003ctd\u003eSystem-on-Module (SOM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e100mm × 87mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eConnector\u003c\/td\u003e\n\u003ctd\u003e699-pin board-to-board connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCompatibility\u003c\/td\u003e\n\u003ctd\u003eForm-factor and pin-compatible with Jetson AGX Xavier\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\u003eSDK\u003c\/td\u003e\n\u003ctd\u003eNVIDIA JetPack SDK (includes Linux BSP, CUDA, cuDNN, TensorRT)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOS\u003c\/td\u003e\n\u003ctd\u003eLinux (Ubuntu-based)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Frameworks\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Isaac (robotics), DeepStream (vision AI), Riva (conversational AI), TAO Toolkit, Omniverse Replicator\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":44324825432142,"sku":"PA-NVIDIA90013701005","price":5670.0,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0676\/3134\/9838\/files\/Jetson-AGX-Orin-Module-Front_20_282_29_f6beaf96-880b-49e2-ad84-34ca6d7d867f.png?v=1789258807"},{"product_id":"nvidia-jetson-t4000-module-1200-tflops-ai-compute-64gb-blackwell-gpu","title":"NVIDIA Jetson T4000 Module 1200 TFLOPS AI Compute 64GB Blackwell GPU","description":"\u003cdiv\u003e\n\u003ch1\u003eNVIDIA Jetson T4000 Module - High-Performance AI Computing for Physical AI and Robotics\u003c\/h1\u003e\n\u003cp\u003eThe \u003cstrong\u003eNVIDIA Jetson T4000 Module\u003c\/strong\u003e delivers exceptional performance for \u003cstrong\u003ephysical AI and robotics applications\u003c\/strong\u003e, powered by the advanced \u003cstrong\u003eBlackwell GPU architecture\u003c\/strong\u003e. With up to \u003cstrong\u003e1200 FP4 TFLOPS of AI compute\u003c\/strong\u003e and \u003cstrong\u003e64GB of LPDDR5x memory\u003c\/strong\u003e, this compact system-on-module (SoM) provides 4× the AI performance of the previous generation Jetson AGX Orin, all within a \u003cstrong\u003e40W to 70W configurable power envelope\u003c\/strong\u003e. The T4000 is optimised for tighter power and thermal requirements while delivering the real-time reasoning and multi-sensor processing capabilities essential for next-generation autonomous machines, humanoid robotics, and edge AI deployments.\u003c\/p\u003e\n\n\u003ch2\u003eWhy Choose the NVIDIA Jetson T4000?\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e4× AI Performance Improvement\u003c\/strong\u003e: Over 1200 FP4 TFLOPS of compute power compared to Jetson AGX Orin for advanced AI workloads\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnergy-Efficient Design\u003c\/strong\u003e: Configurable power profiles from 40W to 70W with 3.5× better energy efficiency than previous generation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBlackwell GPU Architecture\u003c\/strong\u003e: Features Transformer engine and Multi-Instance GPU (MIG) support for generative AI models\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e64GB High-Speed Memory\u003c\/strong\u003e: LPDDR5x memory provides the capacity needed for large language models (LLMs) and vision language models (VLMs)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e12-Core Arm Neoverse V3AE CPU\u003c\/strong\u003e: Low-latency processing for real-time multi-sensor applications and sensor fusion\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProduction-Ready Ecosystem\u003c\/strong\u003e: Supported by JetPack 7.1 software, extensive partner carrier boards, and NVIDIA Isaac robotics platform\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eAdvanced AI Capabilities\u003c\/h2\u003e\n\u003cp\u003eThe Jetson T4000 is designed for \u003cstrong\u003ephysical AI applications\u003c\/strong\u003e that require real-time reasoning, multimodal perception, and sophisticated decision-making. It supports a wide range of \u003cstrong\u003egenerative AI models\u003c\/strong\u003e, including Vision Language Action (VLA) models like NVIDIA Isaac GR00T for humanoid robots, as well as popular large language models and vision language models such as Cosmos Reason. The module features hardware acceleration for AI inference with \u003cstrong\u003eTensorRT Edge-LLM SDK\u003c\/strong\u003e, enabling efficient deployment of LLMs and VLMs directly at the edge.\u003c\/p\u003e\n\n\u003ch2\u003eHigh-Performance Video Processing\u003c\/h2\u003e\n\u003cp\u003eEquipped with \u003cstrong\u003e1× NVENC and 1× NVDEC hardware video codec engines\u003c\/strong\u003e, the T4000 enables \u003cstrong\u003ereal-time 4K video encoding and decoding\u003c\/strong\u003e. It supports H.265 (HEVC) and H.264 video standards, making it ideal for applications requiring advanced vision processing, video analytics, and multi-camera sensor fusion. The module also includes a \u003cstrong\u003ethird-generation Programmable Vision Accelerator (PVA)\u003c\/strong\u003e and optical flow accelerator for demanding computer vision workloads.\u003c\/p\u003e\n\n\u003ch2\u003eComprehensive Connectivity and I\/O\u003c\/h2\u003e\n\u003cp\u003eThe Jetson T4000 accelerates low-latency, real-time multi-sensor applications with extensive I\/O capabilities:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e3× 25 GbE Networking\u003c\/strong\u003e: High-speed network connectivity for industrial and robotics applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePCIe 5.0 Support\u003c\/strong\u003e: High-bandwidth interface for peripherals and expansion\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMIPI CSI Camera Support\u003c\/strong\u003e: Advanced camera pipeline for multi-camera vision systems\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGMSL Support\u003c\/strong\u003e: Automotive-grade camera connectivity for demanding real-time vision workloads\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eExtensive Low-Speed I\/O\u003c\/strong\u003e: Multiple GPIO, I2C, SPI, UART interfaces for sensor integration\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eIdeal Applications\u003c\/h2\u003e\n\u003cp\u003eThe NVIDIA Jetson T4000 is the perfect choice for developers and system integrators building:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eHumanoid Robotics\u003c\/strong\u003e: Real-time control and perception for next-generation robots\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAutonomous Mobile Robots (AMRs)\u003c\/strong\u003e: Navigation, obstacle avoidance, and decision-making at the edge\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIndustrial Automation\u003c\/strong\u003e: Smart factories, quality inspection, and predictive maintenance\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSmart Infrastructure\u003c\/strong\u003e: Video analytics, visual AI agents, and intelligent monitoring systems\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMedical Robotics\u003c\/strong\u003e: Advanced surgical systems and medical imaging applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRetail \u0026amp; Logistics\u003c\/strong\u003e: Inventory management, automated warehousing, and intelligent checkout systems\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eSoftware Ecosystem\u003c\/h2\u003e\n\u003cp\u003eThe T4000 is supported by \u003cstrong\u003eNVIDIA JetPack 7.1\u003c\/strong\u003e, the most advanced software platform for Jetson, featuring \u003cstrong\u003eLinux Kernel 6.8 and Ubuntu 24.04 LTS\u003c\/strong\u003e. JetPack 7 aligns with Server Base System Architecture (SBSA) and includes support for \u003cstrong\u003eCUDA 13.0\u003c\/strong\u003e, TensorRT, cuDNN, and comprehensive AI libraries. Developers gain access to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA Isaac Platform\u003c\/strong\u003e: Complete robotics development framework including Isaac GR00T foundational models\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA Metropolis\u003c\/strong\u003e: Visual agentic AI and intelligent video analytics\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA Holoscan\u003c\/strong\u003e: High-performance sensor processing and streaming\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eJetson AI Lab\u003c\/strong\u003e: Open-source models, tutorials, and community resources\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePartner Ecosystem\u003c\/strong\u003e: Production-ready carrier boards, cameras, sensors, and design services from established partners\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 T4000 Module\u003c\/li\u003e\n\u003cli\u003eThermal interface material (TIM)\u003c\/li\u003e\n\u003cli\u003eModule mounting hardware\u003c\/li\u003e\n\u003cli\u003eQuick start documentation\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eFull Specifications\u003c\/h2\u003e\n\n\u003ch3\u003eGPU\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eArchitecture\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU Cores\u003c\/td\u003e\n\u003ctd\u003e2 GPC, 6 TPC, 1536 NVIDIA CUDA cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTensor Cores\u003c\/td\u003e\n\u003ctd\u003e5th Generation Tensor cores with Transformer engine\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003eUp to 1200 FP4 TFLOPS (sparse)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMulti-Instance GPU\u003c\/td\u003e\n\u003ctd\u003eMIG support for workload isolation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eCPU\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU Cores\u003c\/td\u003e\n\u003ctd\u003e12-core Arm Neoverse V3AE (64-bit)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCache\u003c\/td\u003e\n\u003ctd\u003e50MB L2 cache\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eMemory\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e64GB LPDDR5x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd\u003eUp to 273.2GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eVideo Processing\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Encode (NVENC)\u003c\/td\u003e\n\u003ctd\u003e1× encoder (H.265, H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Decode (NVDEC)\u003c\/td\u003e\n\u003ctd\u003e1× decoder (H.265, H.264, 8K\/4K support)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVision Accelerator\u003c\/td\u003e\n\u003ctd\u003e3rd generation Programmable Vision Accelerator (PVA)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOptical Flow Accelerator\u003c\/td\u003e\n\u003ctd\u003eHardware-accelerated optical flow and stereo disparity\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eNetworking \u0026amp; Storage\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003e3× 25 GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePCIe\u003c\/td\u003e\n\u003ctd\u003ePCIe 5.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eCamera \u0026amp; Sensor Interfaces\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMIPI CSI\u003c\/td\u003e\n\u003ctd\u003eMultiple camera lanes (specifications preliminary)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGMSL\u003c\/td\u003e\n\u003ctd\u003eAutomotive camera support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003ePower\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Consumption\u003c\/td\u003e\n\u003ctd\u003eConfigurable 40W to 70W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eSoftware Support\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eJetPack Version\u003c\/td\u003e\n\u003ctd\u003eJetPack 7.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eUbuntu 24.04 LTS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLinux Kernel\u003c\/td\u003e\n\u003ctd\u003e6.8\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCUDA\u003c\/td\u003e\n\u003ctd\u003eCUDA 13.0+\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGraphics APIs\u003c\/td\u003e\n\u003ctd\u003eOpenGL 4.6+, OpenGL ES 3.2, Vulkan 1.1+\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eForm Factor\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModule Type\u003c\/td\u003e\n\u003ctd\u003eSystem-on-Module (SoM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterface\u003c\/td\u003e\n\u003ctd\u003eJetson Thor Series connector\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. Some specifications for the Jetson T4000 module encode, decode, and low-speed I\/O are preliminary and subject to change.\u003c\/em\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44324850630734,"sku":"PA-NVIDIAJETSONT4000","price":5230.0,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0676\/3134\/9838\/files\/Screenshot_202026-07-27_20100152.jpg?v=1789259619"},{"product_id":"nvidia-igx-thor-developer-kit-mini-ai-platform-for-robotics-edge","title":"NVIDIA IGX Thor Developer Kit Mini AI Platform for Robotics \u0026 Edge","description":"\u003cdiv\u003e\n\u003ch1\u003eNVIDIA IGX Thor Developer Kit Mini\u003c\/h1\u003e\n\u003cp\u003eThe \u003cstrong\u003eNVIDIA IGX Thor Developer Kit Mini\u003c\/strong\u003e is a compact, high-performance AI development platform designed for industrial robotics, medical systems, and physical AI applications. Built on the \u003cstrong\u003eIGX T5000 module with NVIDIA Blackwell GPU architecture\u003c\/strong\u003e, it delivers up to \u003cstrong\u003e2070 FP4 TFLOPS of AI compute performance\u003c\/strong\u003e within a \u003cstrong\u003e130W power envelope\u003c\/strong\u003e, making it ideal for running the latest generative AI models at the edge with enterprise-grade reliability and functional safety.\u003c\/p\u003e\n\n\u003ch2\u003eWhy Choose the IGX Thor Developer Kit Mini\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eBlackwell Architecture GPU\u003c\/strong\u003e: 2560-core NVIDIA Blackwell iGPU with fifth-generation Tensor Cores for exceptional AI inference\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePowerful 14-Core CPU\u003c\/strong\u003e: Arm Neoverse V3AE 64-bit processor with Multi-Instance GPU (MIG) technology for low-latency, real-time applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e128GB Memory\u003c\/strong\u003e: 256-bit LPDDR5X memory with 273GB\/s bandwidth for demanding AI workloads\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFunctional Safety\u003c\/strong\u003e: Integrated Functional Safety Island (FSI) and onboard safety microcontroller (MCU) for industrial and medical certification support\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccelerator Suite\u003c\/strong\u003e: Third-generation Programmable Vision Accelerator (PVA), dual encoders\/decoders, optical flow accelerator, and more\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e10-Year Enterprise Support\u003c\/strong\u003e: NVIDIA AI Enterprise software with long-term lifecycle support for mission-critical deployments\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eHigh-Speed Connectivity for Sensor Fusion\u003c\/h2\u003e\n\u003cp\u003eThe developer kit provides extensive I\/O options for high-speed sensor fusion and edge applications. Features include a \u003cstrong\u003eQSFP28+ connector supporting 4×25GbE\u003c\/strong\u003e, \u003cstrong\u003eGigabit Ethernet RJ45\u003c\/strong\u003e, \u003cstrong\u003eHDMI and DisplayPort\u003c\/strong\u003e outputs, \u003cstrong\u003edual USB-A 3.2 ports\u003c\/strong\u003e, \u003cstrong\u003edual USB-C 3.1 ports\u003c\/strong\u003e with Power Delivery support up to 140W, and additional connectivity interfaces including CAN headers for industrial communication.\u003c\/p\u003e\n\n\u003ch2\u003eEnterprise AI Software Stack\u003c\/h2\u003e\n\u003cp\u003eRun the complete NVIDIA AI Enterprise software stack at the edge, including \u003cstrong\u003eNVIDIA Isaac\u003c\/strong\u003e for robotics, \u003cstrong\u003eMetropolis\u003c\/strong\u003e for visual AI agents, \u003cstrong\u003eHoloscan\u003c\/strong\u003e for sensor processing, and \u003cstrong\u003eNVIDIA Halos\u003c\/strong\u003e safety AI agents. The platform supports generative AI models from Vision-Language-Action (VLA) models like NVIDIA Isaac GR00T N to popular LLMs and VLMs such as NVIDIA Cosmos Reason, with seamless cloud-to-edge deployment via NVIDIA NIM.\u003c\/p\u003e\n\n\u003ch2\u003eIndustrial \u0026amp; Medical Applications\u003c\/h2\u003e\n\u003cp\u003ePurpose-built for industrial and medical environments, the IGX Thor Developer Kit Mini delivers enterprise-grade performance, security, and functional safety with a 10-year lifecycle. Ideal for autonomous robots, physical AI agents, smart hospitals, manufacturing automation, and edge AI applications requiring real-time sensor processing and AI inference with functional safety certification pathways including ISO 26262, IEC 61508, IEC 60601, and IEC 62304.\u003c\/p\u003e\n\n\u003ch2\u003eWhat's in the Box\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eNVIDIA IGX T5000 module with heat sink and reference carrier board\u003c\/li\u003e\n\u003cli\u003e140W DC power supply with USB-C connector\u003c\/li\u003e\n\u003cli\u003e802.11ax wireless network interface controller (Wi-Fi 6)\u003c\/li\u003e\n\u003cli\u003e1TB NVMe storage populated in M.2 Key-M slot\u003c\/li\u003e\n\u003cli\u003eSafety microcontroller (MCU)\u003c\/li\u003e\n\u003cli\u003eQuick Start Guide\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eFull Specifications\u003c\/h2\u003e\n\n\u003ch3\u003eProcessor \u0026amp; Graphics\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e2560-core NVIDIA Blackwell architecture iGPU with fifth-gen Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e14-core Arm Neoverse V3AE 64-bit processor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003eUp to 2070 FP4 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e128GB 256-bit LPDDR5X, 273GB\/s bandwidth\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eStorage \u0026amp; 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With up to \u003cstrong\u003e275 TOPS of AI performance\u003c\/strong\u003e and power configurable between 15W and 60W, this compact developer kit provides more than 8 times the performance of Jetson AGX Xavier in the same form factor. Perfect for prototyping advanced AI-powered robots, autonomous machines, and intelligent vision systems.\u003c\/p\u003e\n\n\u003ch2\u003eWhy You'll Love the Jetson AGX Orin Developer Kit\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMassive AI Performance\u003c\/strong\u003e: Up to 275 TOPS enables deployment of large, complex AI models for natural language understanding, 3D perception, and multi-sensor fusion\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA Ampere GPU Architecture\u003c\/strong\u003e: 2048 CUDA cores and 64 Tensor cores deliver professional-grade AI compute at the edge\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVersatile Development Platform\u003c\/strong\u003e: Emulates all Jetson Orin modules including Orin NX and Orin Nano, letting you prototype multiple product configurations with one kit\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComprehensive Connectivity\u003c\/strong\u003e: PCIe Gen 4, 10GbE Ethernet, USB 3.2, M.2 NVMe, DisplayPort, and MIPI camera inputs provide extensive peripheral support\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e64GB Unified Memory\u003c\/strong\u003e: LPDDR5 memory with 204.8GB\/s bandwidth feeds multiple concurrent AI pipelines\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComplete Software Stack\u003c\/strong\u003e: Includes JetPack SDK with support for Isaac for robotics, DeepStream for vision AI, and Riva for conversational AI\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003ePowerful AI Architecture for Edge Computing\u003c\/h2\u003e\n\u003cp\u003eAt the heart of the developer kit is the \u003cstrong\u003eJetson AGX Orin 64GB module\u003c\/strong\u003e, featuring a 12-core Arm Cortex-A78AE CPU running at up to 2.2GHz, combined with the NVIDIA Ampere architecture GPU. The module includes \u003cstrong\u003edual NVIDIA Deep Learning Accelerators (NVDLA v2.0)\u003c\/strong\u003e and a Programmable Vision Accelerator (PVA v2.0) for hardware-accelerated AI inferencing. This powerful combination supports multiple concurrent AI application pipelines for computer vision, natural language processing, and sensor fusion applications.\u003c\/p\u003e\n\n\u003ch2\u003eCompact Form Factor, Maximum Connectivity\u003c\/h2\u003e\n\u003cp\u003eDespite its powerful specifications, the Jetson AGX Orin Developer Kit measures just \u003cstrong\u003e110mm × 110mm × 72mm\u003c\/strong\u003e, making it incredibly compact for desktop prototyping. 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It delivers up to \u003cstrong\u003e67 TOPS of AI performance\u003c\/strong\u003e—a massive \u003cstrong\u003e1.7X improvement\u003c\/strong\u003e over its predecessor—to seamlessly run modern generative AI models including \u003cstrong\u003evision transformers, large language models (LLMs), vision-language models (VLMs)\u003c\/strong\u003e, and more. At an accessible price point, this kit democratises generative AI at the edge, making cutting-edge AI development available to everyone in Australia.\u003c\/p\u003e\n\n\u003ch2\u003eWhy Choose the Jetson Orin Nano Super Developer Kit?\u003c\/h2\u003e\n\u003cp\u003eThis developer kit combines exceptional AI performance with affordability and flexibility. 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Powered by the \u003cstrong\u003eNVIDIA Blackwell GPU architecture and 128GB of high-speed LPDDR5X memory\u003c\/strong\u003e, this developer kit delivers an astonishing \u003cstrong\u003e2070 FP4 TFLOPS of AI compute performance\u003c\/strong\u003e within a compact \u003cstrong\u003e130W power envelope\u003c\/strong\u003e. 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It supports a wide range of \u003cstrong\u003egenerative AI models\u003c\/strong\u003e, including Vision Language Action (VLA) models like \u003cstrong\u003eNVIDIA Isaac GR00T N\u003c\/strong\u003e, popular large language models (LLMs), and vision-language models (VLMs). Whether you're developing intelligent robots, autonomous vehicles, or advanced edge AI systems, Jetson Thor accelerates your innovation with cutting-edge compute performance and real-time responsiveness.\u003c\/p\u003e\n\n\u003ch2\u003eAdvanced AI and Accelerators\u003c\/h2\u003e\n\u003cp\u003eBeyond the Blackwell GPU, the Jetson AGX Thor includes a comprehensive \u003cstrong\u003esuite of hardware accelerators\u003c\/strong\u003e designed for demanding robotics workloads:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eThird-Generation Programmable Vision Accelerator (PVA)\u003c\/strong\u003e: Offload complex vision processing tasks\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual Video Encoders and Decoders\u003c\/strong\u003e: High-throughput video processing for surveillance, streaming, and multi-camera systems\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOptical Flow Accelerator\u003c\/strong\u003e: Real-time motion tracking and scene understanding\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCamera Offload Engine\u003c\/strong\u003e: High-speed sensor ingestion for multi-modal perception pipelines\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eSeamless Cloud-to-Edge AI Workflows\u003c\/h2\u003e\n\u003cp\u003eThe Jetson Thor runs the full \u003cstrong\u003eNVIDIA AI software stack\u003c\/strong\u003e for physical AI, delivering a seamless cloud-to-edge experience. Develop and deploy applications using \u003cstrong\u003eNVIDIA Isaac for robotics\u003c\/strong\u003e, \u003cstrong\u003eNVIDIA Metropolis for visual AI\u003c\/strong\u003e, and \u003cstrong\u003eNVIDIA Holoscan for sensor processing\u003c\/strong\u003e. Build agentic AI workflows like Video Search and Summarization (VSS) directly at the edge. 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This enables developers to optimize for performance when plugged in or energy efficiency for battery-operated robotic platforms. The included \u003cstrong\u003e140W power supply\u003c\/strong\u003e ensures you have headroom for full-throttle AI workloads and multi-sensor processing.\u003c\/p\u003e\n\n\u003ch2\u003eIdeal Applications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eHumanoid Robotics\u003c\/strong\u003e: Real-time perception, decision-making, and motor control for advanced humanoid platforms\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAutonomous Machines\u003c\/strong\u003e: AMRs, drones, and self-driving vehicles requiring multi-modal AI\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePhysical AI Research\u003c\/strong\u003e: Frontier research on VLA models, embodied AI, and generalist robotics\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIndustrial Automation\u003c\/strong\u003e: Vision-guided robotics, quality inspection, and intelligent manufacturing\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSmart Spaces and Surveillance\u003c\/strong\u003e: Agentic AI for video analytics, search, summarization, and edge intelligence\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMedical Robotics\u003c\/strong\u003e: Surgical assistants, patient care robots, and medical imaging at the edge\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 AGX Thor Developer Kit (with Jetson T5000 module pre-mounted on reference carrier board)\u003c\/li\u003e\n\u003cli\u003e1TB NVMe SSD (pre-loaded with Ubuntu 24.04 LTS and JetPack 7)\u003c\/li\u003e\n\u003cli\u003e140W Power Supply\u003c\/li\u003e\n\u003cli\u003eWi-Fi 6E Module (pre-installed)\u003c\/li\u003e\n\u003cli\u003eQuick Start Guide\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eFull Specifications\u003c\/h2\u003e\n\u003ch3\u003eAI Performance\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Compute (FP4)\u003c\/td\u003e\n\u003ctd\u003e2070 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePerformance vs. AGX Orin\u003c\/td\u003e\n\u003ctd\u003e7.5× higher AI compute\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEnergy Efficiency vs. AGX Orin\u003c\/td\u003e\n\u003ctd\u003e3.5× better efficiency\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eProcessing\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Blackwell GPU with Multi-Instance GPU (MIG) support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e14-core Arm Neoverse-V3AE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e128GB LPDDR5X\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem-on-Module\u003c\/td\u003e\n\u003ctd\u003eNVIDIA T5000 (Jetson Thor series)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eStorage and Media\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e1TB NVMe SSD (included, pre-loaded)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Encode\u003c\/td\u003e\n\u003ctd\u003eDual hardware encoders\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Decode\u003c\/td\u003e\n\u003ctd\u003eDual hardware decoders\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOptical Flow Accelerator\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProgrammable Vision Accelerator\u003c\/td\u003e\n\u003ctd\u003e3rd-generation PVA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eNetworking and Connectivity\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHigh-Speed Networking\u003c\/td\u003e\n\u003ctd\u003eQSFP slot with 4 × 25GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003eMulti-GbE RJ45 connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWi-Fi\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 6E module (included)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003eMultiple USB 3.2 Gen 2 ports, USB-C with DP Alt Mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay Outputs\u003c\/td\u003e\n\u003ctd\u003eHDMI 2.1, DisplayPort 1.4a\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCAN Bus\u003c\/td\u003e\n\u003ctd\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eM.2 Expansion\u003c\/td\u003e\n\u003ctd\u003eM.2 Key M (NVMe) and M.2 Key E (Wi-Fi)\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 Consumption\u003c\/td\u003e\n\u003ctd\u003e40W to 130W (configurable)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Supply Included\u003c\/td\u003e\n\u003ctd\u003e140W AC adapter\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003eApproximately 1.94 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCooling\u003c\/td\u003e\n\u003ctd\u003eHeatsink and active fan\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eSoftware and Ecosystem\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eUbuntu 24.04 LTS (pre-loaded)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSoftware Stack\u003c\/td\u003e\n\u003ctd\u003eJetPack 7 SDK (includes CUDA, TensorRT, cuDNN, VPI, OpenCV)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Frameworks\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Isaac (robotics), Metropolis (visual AI), Holoscan (sensor processing)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModel Support\u003c\/td\u003e\n\u003ctd\u003eIsaac GR00T N (VLA models), LLMs, VLMs, generative AI models\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eContainer Support\u003c\/td\u003e\n\u003ctd\u003eDocker with NGC container registry integration\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 developer page and may be updated. The NVIDIA Jetson AGX Thor Developer Kit is designed for developers, researchers, and professionals building advanced AI and robotics solutions. For Australian power requirements, ensure you select the ANZ region-specific model (945-14070-0085-000 or 945-14070-0086-000).\u003c\/em\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44324926128206,"sku":"PA-NVIDJETSONAGXTHOR","price":8420.0,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0676\/3134\/9838\/files\/380761_large_954d60cf-8bf4-4a0b-a85f-a904006aef04.png?v=1789260624"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0676\/3134\/9838\/collections\/380761_large_954d60cf-8bf4-4a0b-a85f-a904006aef04.png?v=1792241329","url":"https:\/\/projectorsaustralia.com.au\/collections\/ai-developer-kits.oembed","provider":"Projectors Australia","version":"1.0","type":"link"}