{"product_id":"nvidia-jetson-t5000-ai-computing-module-2070-tops-blackwell-gpu-128gb","title":"NVIDIA Jetson T5000 AI Computing Module 2070 TOPS Blackwell GPU 128GB","description":"\u003cdiv\u003e\n\u003ch1\u003eNVIDIA Jetson T5000 AI Computing Module with 2070 TOPS Performance\u003c\/h1\u003e\n\u003cp\u003eThe \u003cstrong\u003eNVIDIA Jetson T5000\u003c\/strong\u003e is the ultimate platform for \u003cstrong\u003ephysical AI and robotics\u003c\/strong\u003e, delivering up to \u003cstrong\u003e2070 FP4 TFLOPS\u003c\/strong\u003e of AI compute power and \u003cstrong\u003e128 GB of LPDDR5X memory\u003c\/strong\u003e. Powered by the advanced \u003cstrong\u003eBlackwell GPU architecture\u003c\/strong\u003e with \u003cstrong\u003e2560 CUDA cores\u003c\/strong\u003e and \u003cstrong\u003e96 fifth-generation Tensor Cores\u003c\/strong\u003e, this system-on-module (SoM) provides 7.5 times higher AI performance than the previous generation NVIDIA AGX Orin, with 3.5 times better energy efficiency. Designed for humanoid robotics, autonomous machines, edge AI deployment, and sensor-intensive applications, the Jetson T5000 runs generative AI models including vision language action (VLA) models, large language models (LLMs), and vision language models (VLMs) directly at the edge.\u003c\/p\u003e\n\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eBlackwell GPU Architecture\u003c\/strong\u003e: 2560 CUDA cores and 96 Tensor Cores deliver up to 2070 FP4 TFLOPS of AI compute, supporting the latest generative AI models with Multi-Instance GPU (MIG) capability\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHigh-Performance CPU\u003c\/strong\u003e: 14-core ARM Neoverse V3AE processor at 2.6 times the performance of previous generation cores for real-time, low-latency multi-sensor processing\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMassive Memory\u003c\/strong\u003e: 128 GB of 256-bit LPDDR5X memory with 273 GB\/s bandwidth for handling complex AI workloads\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePower Configurable\u003c\/strong\u003e: Operates between 40 W and 130 W, balancing performance with energy efficiency for diverse deployment scenarios\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAdvanced Networking\u003c\/strong\u003e: 4 × 25 GbE and 1 × 5 GbE connectivity for high-speed sensor fusion and distributed AI applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePCIe Gen5 Support\u003c\/strong\u003e: 12 lanes of PCIe Gen5 (32 GT\/s per lane) for ultra-fast storage and peripheral connectivity\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegrated Accelerators\u003c\/strong\u003e: Third-generation Programmable Vision Accelerator (PVA v3.0), dual video encoders and decoders supporting multiple 4K and 8K streams, and optical flow accelerator\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCompact Form Factor\u003c\/strong\u003e: 100 mm × 87 mm module size, compatible with existing AGX carrier board ecosystem\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eDesigned for Physical AI and Robotics\u003c\/h2\u003e\n\u003cp\u003eThe Jetson T5000 belongs to a new class of robotic computers architected from the ground up to power next-generation humanoid robots and autonomous systems. It supports the \u003cstrong\u003eNVIDIA Isaac\u003c\/strong\u003e platform for robotics, \u003cstrong\u003eNVIDIA Metropolis\u003c\/strong\u003e for visual agentic AI, and \u003cstrong\u003eNVIDIA Holoscan\u003c\/strong\u003e for sensor processing. The module effortlessly runs foundation models like \u003cstrong\u003eNVIDIA Isaac GR00T N1.5\u003c\/strong\u003e, enabling developers to build, secure, and deploy autonomous agents directly at the edge without relying on cloud connectivity.\u003c\/p\u003e\n\n\u003ch2\u003eEnterprise-Grade AI Software Stack\u003c\/h2\u003e\n\u003cp\u003eJetson T5000 runs the complete NVIDIA AI software stack for physical AI applications, providing seamless cloud-to-edge integration. The platform supports a wide range of popular open-source models through \u003cstrong\u003eJetson AI Lab\u003c\/strong\u003e, including Llama, Gemini, and Qwen. Advanced memory optimization unlocks multi-billion-parameter edge AI by reclaiming up to 12 GB of memory, powering real-time robots and physical AI on compact, energy-efficient devices.\u003c\/p\u003e\n\n\u003ch2\u003eHigh-Speed Connectivity and I\/O\u003c\/h2\u003e\n\u003cp\u003eBuilt for sensor-heavy applications, the Jetson T5000 accelerates low-latency, real-time multi-sensor processing with extensive I\/O options for sensor fusion. The module includes QSFP28 interfaces, MIPI camera inputs, HDMI 2.0b and DisplayPort 1.4a video outputs, multiple USB ports, and M.2 slots for NVMe storage expansion. WiFi 6E and Bluetooth support (when paired with appropriate carrier boards) enable wireless connectivity for modern IoT and edge AI deployments.\u003c\/p\u003e\n\n\u003ch2\u003eApplications Across Industries\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eHumanoid Robotics\u003c\/strong\u003e: Next-generation robots with real-time perception, decision-making, and motor control\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAutonomous Vehicles\u003c\/strong\u003e: Centralized computing for autonomous driving, intelligent cockpit systems, and in-vehicle infotainment\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eManufacturing and Logistics\u003c\/strong\u003e: Multiple concurrent AI inference pipelines for quality inspection, predictive maintenance, and warehouse automation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHealthcare\u003c\/strong\u003e: Medical imaging, surgical robotics, and real-time patient monitoring systems\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRetail\u003c\/strong\u003e: Visual AI for inventory management, customer analytics, and autonomous checkout systems\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSmart Cities\u003c\/strong\u003e: Edge AI for traffic management, surveillance, and infrastructure monitoring\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 T5000 Module (900-13834-0080-000)\u003c\/li\u003e\n\u003cli\u003eDocumentation and quick start guide\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cem\u003eNote: Developer kit, carrier board, cooling solution, and accessories sold separately.\u003c\/em\u003e\u003c\/p\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 TFLOPS (Sparse), 7.8 FP32 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMulti-Instance GPU\u003c\/td\u003e\n\u003ctd\u003eSupported\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTransformer Engine\u003c\/td\u003e\n\u003ctd\u003eYes\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\u003e14-core ARM Neoverse V3AE (ARMv9)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePerformance Improvement\u003c\/td\u003e\n\u003ctd\u003e2.6× vs. previous generation\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\u003eType\u003c\/td\u003e\n\u003ctd\u003eLPDDR5X\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCapacity\u003c\/td\u003e\n\u003ctd\u003e128 GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterface\u003c\/td\u003e\n\u003ctd\u003e256-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBandwidth\u003c\/td\u003e\n\u003ctd\u003e273 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eClock Speed\u003c\/td\u003e\n\u003ctd\u003e1.07 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\u003eProgrammable Vision Accelerator\u003c\/td\u003e\n\u003ctd\u003ePVA v3.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Encoders\u003c\/td\u003e\n\u003ctd\u003eDual encoders (4K\/8K multi-stream support)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Decoders\u003c\/td\u003e\n\u003ctd\u003eDual decoders (4K\/8K multi-stream support)\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\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eNetworking\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHigh-Speed Ethernet\u003c\/td\u003e\n\u003ctd\u003e4 × 25 GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStandard Ethernet\u003c\/td\u003e\n\u003ctd\u003e1 × 5 GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eI\/O Interfaces\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePCIe\u003c\/td\u003e\n\u003ctd\u003e12 lanes Gen5 (32 GT\/s per lane)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay Outputs\u003c\/td\u003e\n\u003ctd\u003eHDMI 2.0b, DisplayPort 1.4a\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera Inputs\u003c\/td\u003e\n\u003ctd\u003eMIPI CSI support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003eMultiple USB ports (configuration depends on carrier board)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage Interface\u003c\/td\u003e\n\u003ctd\u003eNVMe via PCIe, M.2 expansion 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 Range\u003c\/td\u003e\n\u003ctd\u003e40 W to 130 W (configurable)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTypical TDP\u003c\/td\u003e\n\u003ctd\u003e40 W minimum, 130 W maximum\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\u003eModule Dimensions\u003c\/td\u003e\n\u003ctd\u003e100 mm × 87 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003e0.28 kg (module only)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eManufacturing Process\u003c\/td\u003e\n\u003ctd\u003e3 nm\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\u003eAI Frameworks\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Isaac, NVIDIA Metropolis, NVIDIA Holoscan, Jetson AI Lab\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSupported Models\u003c\/td\u003e\n\u003ctd\u003eVLA (Vision Language Action), LLM (Large Language Models), VLM (Vision Language Models)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFoundation Models\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Isaac GR00T N1.5, Llama, Gemini, Qwen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Jetson Linux (based on Ubuntu)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eWhat's in the Box\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModule\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Jetson T5000 (SKU: 900-13834-0080-000)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDocumentation\u003c\/td\u003e\n\u003ctd\u003eQuick start guide and reference materials\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. For complete system integration, a compatible carrier board is required (sold separately). The NVIDIA Jetson AGX Thor Developer Kit includes the T5000 module with reference carrier board, WiFi 6E module, 1TB NVMe SSD, and complete I\/O connectivity.\u003c\/em\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44324869505102,"sku":"PA-NVIDIAJETSONT5000-2","price":9600.0,"currency_code":"AUD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0676\/3134\/9838\/files\/jetson-agx-thor-module-cassian-front-facing-003_74be606b-ccc8-49af-9ec1-e6326d016942.png?v=1789259896","url":"https:\/\/projectorsaustralia.com.au\/products\/nvidia-jetson-t5000-ai-computing-module-2070-tops-blackwell-gpu-128gb","provider":"Projectors Australia","version":"1.0","type":"link"}