Jetson T5000, NVIDIA Embedded AI Module with High-performance Jetson Thor module for physical AI and edge computing

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    オーバービュー

    NVIDIA Mellanox Jetson T5000 オーバービュー

    NVIDIA Jetson T5000 is a production Jetson Thor module built on the NVIDIA Blackwell architecture, with 2,560 CUDA cores, 128GB LPDDR5X memory and up to 2,070 FP4 TFLOPS of sparse AI performance. Its 40–130W range targets high-performance physical AI and robotics systems.

    Key Specifications

    AI Performance

    Up to 2,070 FP4 TFLOPS with sparsity

    GPU and MIG

    2,560 CUDA cores, 5th-generation Tensor Cores and 10 TPC MIG

    CPU and Memory

    14-core Arm Neoverse V3AE and 128GB LPDDR5X

    Power Range

    40–130W operating range

    Production Module

    Designed for OEM integration into production robotics and physical-AI products

    Connectivity

    Supports high-speed edge-system designs with up to four 25GbE networking interfaces

    Best Fit Applications

    Humanoid and General Robotics

    Humanoid and General Robotics

    The T5000 performance tier is designed for advanced robots that require real-time perception, planning and model inference.

    Physical AI Inference

    Physical AI Inference

    Blackwell Tensor Cores and large memory support local VLA and agentic AI workloads at the edge.

    Multi-Sensor Perception

    Multi-Sensor Perception

    High compute headroom and MIG support help integrate multi-camera, lidar and other sensor workloads in production systems.

    High-End Edge Servers

    High-End Edge Servers

    The production module can anchor compact edge servers and industrial systems that need data-center-like AI capability near the workload.

    Why Jetson T5000

    Highest Thor Production Tier

    Highest Thor Production Tier

    The T5000 combines up to 2,070 FP4 TFLOPS, 128GB memory and 10 TPC MIG for the most demanding Jetson Thor deployments.

    Built for Physical AI Products

    Built for Physical AI Products

    The production-module form supports OEM designs for humanoid robotics, autonomous machines and advanced automation.

    Multi-Tenant Edge Compute

    Multi-Tenant Edge Compute

    MIG support helps partition GPU resources for concurrent workloads when the system architecture requires isolation or workload separation.

    Compare Related Models

     
    NVIDIA Jetson T5000NVIDIA Jetson T5000
    AI PerformanceUp to 2,070 FP4 TFLOPS, sparseUp to 2,070 FP4 TFLOPS, sparseUp to 1,200 FP4 TFLOPS, sparseUp to 275 TOPS
    GPU2,560 CUDA cores; 5th-generation Tensor Cores2,560 CUDA cores; 5th-generation Tensor Cores1,536 CUDA cores; 5th-generation Tensor Cores2,048 CUDA / 64 Tensor Cores
    CPU14-core Arm Neoverse V3AE14-core Arm Neoverse V3AE12-core Arm Neoverse V3AE12-core Arm Cortex-A78AE
    Memory128GB LPDDR5X128GB LPDDR5X64GB LPDDR5X64GB LPDDR5
    Power40–130W40–130W40–70W15–60W
    MIG10 TPC MIG10 TPC MIG6 TPC MIGJetson Orin platform; not a Thor MIG module
    Best Fit ScenarioProduction humanoid robots, physical AI and real-time edge reasoningHumanoid robots, physical AI, real-time VLA inference and advanced industrial roboticsProduction robots, industrial vision and edge servers with a balanced Thor profileMature robotics, autonomous-machine development and multimodal edge AI
    Target CustomerRobotics OEMs, physical-AI product teams and edge AI system integratorsHumanoid-robot OEMs, physical-AI developers and advanced automation teamsRobot makers, industrial automation teams and edge-compute integratorsRobotics OEMs and edge AI integrators building on the Orin ecosystem
    Not Recommended ForEntry-level robots or thermally constrained products that do not need the T5000 performance tierLow-power edge devices or projects that do not need Thor-class computeLarge physical-AI workloads that need the T5000 memory and compute tierNew designs that specifically require Blackwell-based physical-AI performance

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    仕様

    NVIDIA Mellanox Jetson T5000 仕様

    General
    BrandNVIDIA
    Product CategoryEmbedded AI Module
    ModelJetson T5000
    Module FamilyJetson Thor
    Compute
    GPU ArchitectureNVIDIA Blackwell
    CUDA Cores2,560
    Tensor Cores5th Generation
    CPU14-core Arm Neoverse V3AE
    AI PerformanceUp to 2,070 FP4 TFLOPS with sparsity
    MIG10 TPC MIG
    Memory and Power
    Memory128GB LPDDR5X, 256-bit, up to 273GB/s
    Power Range40–130W
    Integration
    NetworkingUp to 4 × 25GbE
    Form FactorJetson Thor production module; carrier-board and system design must be confirmed
    Still unsure about your configuration? Talk to an engineer for assistance.

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