{"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. 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