Jetson T3000, NVIDIA Embedded AI Module with Future Jetson Thor module for physical AI and edge robotics

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    Vue d’ensemble

    NVIDIA Mellanox Jetson T3000 Vue d’ensemble

    NVIDIA Jetson T3000 is a planned compact Jetson Thor module for scaled physical AI and mainstream robotics. The supplied planning file lists a Blackwell GPU, 865 FP4 TFLOPS, 32GB LPDDR5X and an 8-core Neoverse Arm CPU, with availability indicated for 2027 Q1; final NVIDIA ordering specifications should be confirmed before publication.

    Key Specifications

    Planned AI Performance

    865 FP4 TFLOPS according to the supplied planning data

    Architecture

    Planned NVIDIA Blackwell GPU for the Jetson Thor family

    CPU and Memory

    8-core Neoverse Arm CPU with 32GB LPDDR5X in the planning data

    Deployment Position

    Compact Thor configuration intended to support scaled robotics deployments

    Availability

    The supplied planning file indicates 2027 Q1; confirm launch timing and ordering data

    Configuration Check

    Final power, core, MIG and carrier-board details must be confirmed from NVIDIA ordering information

    Best Fit Applications

    Scaled Humanoid Robotics

    Scaled Humanoid Robotics

    The planning profile positions T3000 for robotics programs that need Thor-class physical AI across a larger product volume.

    Mainstream Physical AI

    Mainstream Physical AI

    The planned 865 FP4 TFLOPS tier targets real-time AI workloads below the T5000 performance ceiling.

    Embedded Vision Systems

    Embedded Vision Systems

    The Blackwell-based platform is intended for advanced vision and sensor-processing products, subject to final specifications.

    Edge AI Scale-Out

    Edge AI Scale-Out

    The compact positioning is suitable for teams planning to scale AI-enabled devices beyond prototype deployments.

    Why Jetson T3000

    Planned Mid-Tier Thor Position

    Planned Mid-Tier Thor Position

    The supplied 865 FP4 TFLOPS figure places T3000 between the high-end T5000/T4000 modules and lower-power edge platforms.

    Designed for Scale

    Designed for Scale

    The planning profile focuses on a compact module for mainstream robotics and larger-volume physical-AI deployments.

    Requires Pre-Launch Verification

    Requires Pre-Launch Verification

    Because the planning file indicates a future 2027 Q1 product, confirm final power, memory, core and ordering details before publication.

    Compare Related Models

     
    NVIDIA Jetson T3000NVIDIA Jetson T3000
    AI Performance865 FP4 TFLOPS, according to supplied planning dataUp to 1,200 FP4 TFLOPS, sparseUp to 2,070 FP4 TFLOPS, sparseUp to 157 INT8 TOPS in MAXN_SUPER mode
    GPUBlackwell GPU; final core count to be confirmed1,536 CUDA cores; 5th-generation Tensor Cores2,560 CUDA cores; 5th-generation Tensor Cores1,024 CUDA / 32 Tensor Cores
    CPU8-core Neoverse Arm CPU12-core Arm Neoverse V3AE14-core Arm Neoverse V3AE8-core Arm Cortex-A78AE
    Memory32GB LPDDR5X64GB LPDDR5X128GB LPDDR5X16GB LPDDR5
    PowerApproximately half of the T5000 power profile; confirm final value40–70W40–130W10–25W
    MIGThor module feature set to be confirmed6 TPC MIG10 TPC MIGJetson Orin platform; not a Thor MIG module
    Best Fit ScenarioScaled humanoid robotics, mainstream robots and edge AI deploymentsProduction robots, industrial vision and edge servers with a balanced Thor profileProduction humanoid robots, physical AI and real-time edge reasoningCompact robotics, smart cameras, drones and industrial edge boxes
    Target CustomerRobot mass-production teams and embedded device manufacturersRobot makers, industrial automation teams and edge-compute integratorsRobotics OEMs, physical-AI product teams and edge AI system integratorsEmbedded device vendors and developers with tight power budgets
    Not Recommended ForFully specified production deployments before final NVIDIA ordering data is availableLarge physical-AI workloads that need the T5000 memory and compute tierEntry-level robots or thermally constrained products that do not need the T5000 performance tierThor-class physical-AI workloads or large multimodal models

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    spécification

    NVIDIA Mellanox Jetson T3000 spécification

    General
    BrandNVIDIA
    Product CategoryEmbedded AI Module
    ModelJetson T3000
    Module FamilyJetson Thor
    AvailabilityPlanned 2027 Q1 according to the supplied planning file; confirm before publication
    Planned Compute
    GPU ArchitectureNVIDIA Blackwell
    AI Performance865 FP4 TFLOPS according to the supplied planning data
    CPU8-core Neoverse Arm CPU
    Memory32GB LPDDR5X
    Configuration Notes
    PowerPlanning data describes a profile approximately half that of T5000; confirm the final numeric range
    MIG and Core DetailsFinal values to be confirmed from NVIDIA ordering information
    IntegrationCarrier-board and final production configuration must be confirmed
    Still unsure about your configuration? Talk to an engineer for assistance.

    Certificats de qualité

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