{"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; 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