{"product_id":"nvidia-jetson-agx-orin-32gb-ai-computing-module-with-200-tops-performance","title":"NVIDIA Jetson AGX Orin 32GB AI Computing Module with 200 TOPS Performance","description":"\u003cdiv\u003e\n\u003ch1\u003eNVIDIA Jetson AGX Orin 32GB AI Computing Module\u003c\/h1\u003e\n\u003cp\u003eThe \u003cstrong\u003eNVIDIA Jetson AGX Orin 32GB module\u003c\/strong\u003e delivers \u003cstrong\u003eup to 200 TOPS of AI performance\u003c\/strong\u003e with power configurable between \u003cstrong\u003e15W and 40W\u003c\/strong\u003e, providing more than 6X the performance of Jetson AGX Xavier in the same compact form factor. This powerful system-on-module (SOM) is designed for \u003cstrong\u003erobotics, autonomous machines, edge AI applications, computer vision, and natural language processing\u003c\/strong\u003e across industries including manufacturing, logistics, healthcare, retail, and smart cities.\u003c\/p\u003e\n\n\u003ch2\u003eNext-Generation AI Performance for Edge Computing\u003c\/h2\u003e\n\u003cp\u003eBuilt on the \u003cstrong\u003eNVIDIA Ampere architecture\u003c\/strong\u003e, the Jetson AGX Orin 32GB module features a \u003cstrong\u003e1792-core GPU with 56 tensor cores\u003c\/strong\u003e, an \u003cstrong\u003e8-core Arm Cortex-A78AE CPU\u003c\/strong\u003e, and \u003cstrong\u003e32GB of 256-bit LPDDR5 memory\u003c\/strong\u003e with 204.8 GB\/s bandwidth. 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. 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