{"product_id":"nvidia-jetson-agx-thor-t5000-ai-module-2070-tflops-blackwell-gpu","title":"NVIDIA Jetson AGX Thor T5000 AI Module 2070 TFLOPS Blackwell GPU","description":"\u003cdiv\u003e\n\u003ch1\u003eNVIDIA Jetson AGX Thor T5000 AI Computing Module for Physical AI and Robotics\u003c\/h1\u003e\n\u003cp\u003eThe \u003cstrong\u003eNVIDIA Jetson T5000 module\u003c\/strong\u003e is the most powerful edge AI computing platform ever created, delivering \u003cstrong\u003e2070 FP4 TFLOPS of AI compute\u003c\/strong\u003e and \u003cstrong\u003e128 GB of LPDDR5X memory\u003c\/strong\u003e in a compact system-on-module (SoM) form factor. Powered by the groundbreaking \u003cstrong\u003eBlackwell GPU architecture\u003c\/strong\u003e with 2560 CUDA cores and 96 fifth-generation Tensor Cores, this module is designed for the next generation of \u003cstrong\u003ephysical AI applications\u003c\/strong\u003e, including humanoid robotics, autonomous machines, advanced medical systems, and intelligent edge devices. With configurable power between \u003cstrong\u003e40W and 130W\u003c\/strong\u003e, the T5000 delivers \u003cstrong\u003e7.5 times the AI performance\u003c\/strong\u003e and \u003cstrong\u003e3.5 times better energy efficiency\u003c\/strong\u003e than the previous-generation Jetson AGX Orin, making it the ultimate platform for real-time generative AI at the edge.\u003c\/p\u003e\n\n\u003ch2\u003eWhy Choose the NVIDIA Jetson T5000?\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eUnmatched AI Performance\u003c\/strong\u003e: 2070 FP4 TFLOPS powered by NVIDIA Blackwell architecture GPU with Multi-Instance GPU (MIG) support and Transformer Engine for running the latest generative AI models including Vision Language Action (VLA) models, LLMs, and VLMs\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMassive Memory Bandwidth\u003c\/strong\u003e: 128 GB of 256-bit LPDDR5X memory with 273 GB\/s bandwidth for handling complex multimodal sensor processing and large AI models\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHigh-Performance CPU\u003c\/strong\u003e: 14-core Arm Neoverse V3AE 64-bit CPU at up to 2.6 GHz, delivering 2.6 times the performance of previous-generation cores\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAdvanced Networking\u003c\/strong\u003e: 4x 25 GbE and 1x 5 GbE connectivity for high-speed sensor fusion and real-time data processing in robotics applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eExtensive I\/O Options\u003c\/strong\u003e: PCIe Gen5 support (12 lanes at 32 GT\/s per lane), third-generation Programmable Vision Accelerator (PVA v3.0), dual video encoders\/decoders, and optical flow accelerator\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProduction-Ready\u003c\/strong\u003e: Compact 100mm x 87mm form factor compatible with existing AGX carrier boards, 5-year operating lifetime (24x7), and support from NVIDIA's comprehensive AI software stack\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eBlackwell GPU Architecture for Physical AI\u003c\/h2\u003e\n\u003cp\u003eThe \u003cstrong\u003eNVIDIA Blackwell GPU\u003c\/strong\u003e at the heart of the Jetson T5000 represents a generational leap in edge AI computing. With \u003cstrong\u003e2560 CUDA cores\u003c\/strong\u003e and \u003cstrong\u003e96 fifth-generation Tensor Cores\u003c\/strong\u003e, this GPU delivers up to \u003cstrong\u003e7.8 FP32 TFLOPS\u003c\/strong\u003e and introduces native \u003cstrong\u003eFP4 quantization\u003c\/strong\u003e with a next-generation Transformer Engine. The Multi-Instance GPU (MIG) technology enables predictable performance in mixed-criticality robotics applications, allowing you to partition GPU resources for simultaneous workloads. This makes the T5000 ideal for running sophisticated AI models like \u003cstrong\u003eNVIDIA Isaac GR00T\u003c\/strong\u003e for humanoid robots, large language models for natural language interaction, and vision language models for real-time scene understanding.\u003c\/p\u003e\n\n\u003ch2\u003e14-Core Arm Neoverse CPU for Real-Time Processing\u003c\/h2\u003e\n\u003cp\u003eThe Jetson T5000 features a powerful \u003cstrong\u003e14-core Arm Neoverse V3AE CPU\u003c\/strong\u003e running at up to \u003cstrong\u003e2.6 GHz\u003c\/strong\u003e, providing 2.6 times the performance of the 12-core Orin CPU. Each core includes \u003cstrong\u003e64KB + 64KB L1 cache\u003c\/strong\u003e, \u003cstrong\u003e1MB L2 cache\u003c\/strong\u003e, and shares a \u003cstrong\u003e16MB L3 cache\u003c\/strong\u003e for efficient data access. This high-performance CPU architecture is optimised for real-time control, sensor processing, and running complex robotics software stacks alongside the GPU workloads.\u003c\/p\u003e\n\n\u003ch2\u003eMulti-Sensor Fusion and High-Speed Networking\u003c\/h2\u003e\n\u003cp\u003eDesigned for advanced robotics and autonomous systems, the T5000 excels at processing data from multiple sensors simultaneously. The module supports \u003cstrong\u003e4x 25 GbE networking\u003c\/strong\u003e plus \u003cstrong\u003e1x 5 GbE\u003c\/strong\u003e, enabling high-bandwidth connectivity for lidar, radar, cameras, and other sensors. The third-generation \u003cstrong\u003eProgrammable Vision Accelerator (PVA)\u003c\/strong\u003e handles image signal processing for up to 24-megapixel sensors, while dual \u003cstrong\u003evideo encoders and decoders\u003c\/strong\u003e support H.265 (HEVC), H.264, VP9, AV1, and more. An integrated \u003cstrong\u003eoptical flow accelerator\u003c\/strong\u003e and \u003cstrong\u003eHoloscan Sensor Bridge\u003c\/strong\u003e further enhance real-time multi-sensor processing capabilities.\u003c\/p\u003e\n\n\u003ch2\u003eComprehensive AI Software Stack\u003c\/h2\u003e\n\u003cp\u003eThe Jetson T5000 runs \u003cstrong\u003eJetPack 7\u003c\/strong\u003e with \u003cstrong\u003eUbuntu 24.04 LTS\u003c\/strong\u003e and \u003cstrong\u003eCUDA 13.0\u003c\/strong\u003e, providing a unified development experience from cloud to edge. It supports the complete \u003cstrong\u003eNVIDIA AI software stack\u003c\/strong\u003e for physical AI applications, including:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA Isaac\u003c\/strong\u003e for robotics development and deployment\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA Metropolis\u003c\/strong\u003e for visual agentic AI and intelligent video analytics\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA Holoscan\u003c\/strong\u003e for high-performance sensor processing\u003c\/li\u003e\n\u003cli\u003eSupport for popular AI frameworks and models through \u003cstrong\u003eJetson AI Lab\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003eAgentic AI workflows like Video Search and Summarisation (VSS) for edge deployment\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eApplications Across Industries\u003c\/h2\u003e\n\u003cp\u003eThe NVIDIA Jetson T5000 module is trusted by leading organisations across multiple sectors:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eHumanoid Robotics\u003c\/strong\u003e: Powers next-generation humanoid robots from companies like Figure, Agility Robotics, and Boston Dynamics\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eManufacturing \u0026amp; Logistics\u003c\/strong\u003e: Enables intelligent automation and warehouse robotics for Amazon Robotics and others\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAutonomous Machines\u003c\/strong\u003e: Drives autonomous vehicles and heavy equipment for Caterpillar and agricultural applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMedical Devices\u003c\/strong\u003e: Supports advanced medical imaging and surgical robotics systems from Medtronic\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSmart Spaces\u003c\/strong\u003e: Powers intelligent building systems, retail analytics, and visual AI applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eResearch \u0026amp; Development\u003c\/strong\u003e: Used by Stanford, Carnegie Mellon, and other leading universities for robotics research\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eCompact Form Factor with Production-Grade Reliability\u003c\/h2\u003e\n\u003cp\u003eDespite its enormous computing power, the Jetson T5000 maintains a \u003cstrong\u003ecompact 100mm x 87mm\u003c\/strong\u003e form factor, identical to the existing AGX modules. This ensures compatibility with a wide ecosystem of carrier boards and enclosures from partners like Connect Tech, Aetina, and others. The module is designed for \u003cstrong\u003e5-year operating lifetime (24x7)\u003c\/strong\u003e with an operating temperature range of \u003cstrong\u003e-25°C to 115°C (Tj)\u003c\/strong\u003e and thermal throttling protection. The module weighs just \u003cstrong\u003e0.28 kg\u003c\/strong\u003e without packaging, making it ideal for space-constrained robotics and edge AI deployments.\u003c\/p\u003e\n\n\u003ch2\u003eConfigurable Power for Every Application\u003c\/h2\u003e\n\u003cp\u003eThe Jetson T5000 offers flexible power configurations from \u003cstrong\u003e40W to 130W\u003c\/strong\u003e, with a default power mode of \u003cstrong\u003e120W\u003c\/strong\u003e. Custom power modes can be created using the Jetson Power Estimator to optimise performance and efficiency for your specific application. The module operates from a \u003cstrong\u003e7V-20V input voltage range\u003c\/strong\u003e, making it suitable for battery-powered autonomous systems and industrial deployments.\u003c\/p\u003e\n\n\u003ch2\u003eWhat's in the Box\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson T5000 Module (P\/N: 900-13834-0080-000)\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\u003eCUDA Cores\u003c\/td\u003e\n\u003ctd\u003e2560\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTensor Cores\u003c\/td\u003e\n\u003ctd\u003e96 (5th generation)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003e2070 FP4 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