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NVIDIA Jetson T4000 Module 1200 TFLOPS AI Compute 64GB Blackwell GPU

    Description

    NVIDIA Jetson T4000 Module - High-Performance AI Computing for Physical AI and Robotics

    The NVIDIA Jetson T4000 Module delivers exceptional performance for physical AI and robotics applications, powered by the advanced Blackwell GPU architecture. With up to 1200 FP4 TFLOPS of AI compute and 64GB of LPDDR5x memory, this compact system-on-module (SoM) provides 4× the AI performance of the previous generation Jetson AGX Orin, all within a 40W to 70W configurable power envelope. 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.

    Why Choose the NVIDIA Jetson T4000?

    • 4× AI Performance Improvement: Over 1200 FP4 TFLOPS of compute power compared to Jetson AGX Orin for advanced AI workloads
    • Energy-Efficient Design: Configurable power profiles from 40W to 70W with 3.5× better energy efficiency than previous generation
    • Blackwell GPU Architecture: Features Transformer engine and Multi-Instance GPU (MIG) support for generative AI models
    • 64GB High-Speed Memory: LPDDR5x memory provides the capacity needed for large language models (LLMs) and vision language models (VLMs)
    • 12-Core Arm Neoverse V3AE CPU: Low-latency processing for real-time multi-sensor applications and sensor fusion
    • Production-Ready Ecosystem: Supported by JetPack 7.1 software, extensive partner carrier boards, and NVIDIA Isaac robotics platform

    Advanced AI Capabilities

    The Jetson T4000 is designed for physical AI applications that require real-time reasoning, multimodal perception, and sophisticated decision-making. It supports a wide range of generative AI models, 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 TensorRT Edge-LLM SDK, enabling efficient deployment of LLMs and VLMs directly at the edge.

    High-Performance Video Processing

    Equipped with 1× NVENC and 1× NVDEC hardware video codec engines, the T4000 enables real-time 4K video encoding and decoding. 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 third-generation Programmable Vision Accelerator (PVA) and optical flow accelerator for demanding computer vision workloads.

    Comprehensive Connectivity and I/O

    The Jetson T4000 accelerates low-latency, real-time multi-sensor applications with extensive I/O capabilities:

    • 3× 25 GbE Networking: High-speed network connectivity for industrial and robotics applications
    • PCIe 5.0 Support: High-bandwidth interface for peripherals and expansion
    • MIPI CSI Camera Support: Advanced camera pipeline for multi-camera vision systems
    • GMSL Support: Automotive-grade camera connectivity for demanding real-time vision workloads
    • Extensive Low-Speed I/O: Multiple GPIO, I2C, SPI, UART interfaces for sensor integration

    Ideal Applications

    The NVIDIA Jetson T4000 is the perfect choice for developers and system integrators building:

    • Humanoid Robotics: Real-time control and perception for next-generation robots
    • Autonomous Mobile Robots (AMRs): Navigation, obstacle avoidance, and decision-making at the edge
    • Industrial Automation: Smart factories, quality inspection, and predictive maintenance
    • Smart Infrastructure: Video analytics, visual AI agents, and intelligent monitoring systems
    • Medical Robotics: Advanced surgical systems and medical imaging applications
    • Retail & Logistics: Inventory management, automated warehousing, and intelligent checkout systems

    Software Ecosystem

    The T4000 is supported by NVIDIA JetPack 7.1, the most advanced software platform for Jetson, featuring Linux Kernel 6.8 and Ubuntu 24.04 LTS. JetPack 7 aligns with Server Base System Architecture (SBSA) and includes support for CUDA 13.0, TensorRT, cuDNN, and comprehensive AI libraries. Developers gain access to:

    • NVIDIA Isaac Platform: Complete robotics development framework including Isaac GR00T foundational models
    • NVIDIA Metropolis: Visual agentic AI and intelligent video analytics
    • NVIDIA Holoscan: High-performance sensor processing and streaming
    • Jetson AI Lab: Open-source models, tutorials, and community resources
    • Partner Ecosystem: Production-ready carrier boards, cameras, sensors, and design services from established partners

    What's in the Box

    • NVIDIA Jetson T4000 Module
    • Thermal interface material (TIM)
    • Module mounting hardware
    • Quick start documentation

    Full Specifications

    GPU

    Architecture NVIDIA Blackwell
    GPU Cores 2 GPC, 6 TPC, 1536 NVIDIA CUDA cores
    Tensor Cores 5th Generation Tensor cores with Transformer engine
    AI Performance Up to 1200 FP4 TFLOPS (sparse)
    Multi-Instance GPU MIG support for workload isolation

    CPU

    CPU Cores 12-core Arm Neoverse V3AE (64-bit)
    Cache 50MB L2 cache

    Memory

    Memory 64GB LPDDR5x
    Memory Bandwidth Up to 273.2GB/s

    Video Processing

    Video Encode (NVENC) 1× encoder (H.265, H.264)
    Video Decode (NVDEC) 1× decoder (H.265, H.264, 8K/4K support)
    Vision Accelerator 3rd generation Programmable Vision Accelerator (PVA)
    Optical Flow Accelerator Hardware-accelerated optical flow and stereo disparity

    Networking & Storage

    Ethernet 3× 25 GbE
    PCIe PCIe 5.0 x16

    Camera & Sensor Interfaces

    MIPI CSI Multiple camera lanes (specifications preliminary)
    GMSL Automotive camera support

    Power

    Power Consumption Configurable 40W to 70W

    Software Support

    JetPack Version JetPack 7.1
    Operating System Ubuntu 24.04 LTS
    Linux Kernel 6.8
    CUDA CUDA 13.0+
    Graphics APIs OpenGL 4.6+, OpenGL ES 3.2, Vulkan 1.1+

    Form Factor

    Module Type System-on-Module (SoM)
    Interface Jetson Thor Series connector

    Specifications are sourced from the manufacturer product page and may be updated. Some specifications for the Jetson T4000 module encode, decode, and low-speed I/O are preliminary and subject to change.

    Product form

    NVIDIA Jetson T4000 Module 1200 TFLOPS AI Compute 64GB Blackwell GPU

      $6,999.00  $5,260.00

      In Stock - Express Post Delivery Available (1-2 Business Days)  Mid weeks
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          Description

          NVIDIA Jetson T4000 Module - High-Performance AI Computing for Physical AI and Robotics

          The NVIDIA Jetson T4000 Module delivers exceptional performance for physical AI and robotics applications, powered by the advanced Blackwell GPU architecture. With up to 1200 FP4 TFLOPS of AI compute and 64GB of LPDDR5x memory, this compact system-on-module (SoM) provides 4× the AI performance of the previous generation Jetson AGX Orin, all within a 40W to 70W configurable power envelope. 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.

          Why Choose the NVIDIA Jetson T4000?

          • 4× AI Performance Improvement: Over 1200 FP4 TFLOPS of compute power compared to Jetson AGX Orin for advanced AI workloads
          • Energy-Efficient Design: Configurable power profiles from 40W to 70W with 3.5× better energy efficiency than previous generation
          • Blackwell GPU Architecture: Features Transformer engine and Multi-Instance GPU (MIG) support for generative AI models
          • 64GB High-Speed Memory: LPDDR5x memory provides the capacity needed for large language models (LLMs) and vision language models (VLMs)
          • 12-Core Arm Neoverse V3AE CPU: Low-latency processing for real-time multi-sensor applications and sensor fusion
          • Production-Ready Ecosystem: Supported by JetPack 7.1 software, extensive partner carrier boards, and NVIDIA Isaac robotics platform

          Advanced AI Capabilities

          The Jetson T4000 is designed for physical AI applications that require real-time reasoning, multimodal perception, and sophisticated decision-making. It supports a wide range of generative AI models, 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 TensorRT Edge-LLM SDK, enabling efficient deployment of LLMs and VLMs directly at the edge.

          High-Performance Video Processing

          Equipped with 1× NVENC and 1× NVDEC hardware video codec engines, the T4000 enables real-time 4K video encoding and decoding. 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 third-generation Programmable Vision Accelerator (PVA) and optical flow accelerator for demanding computer vision workloads.

          Comprehensive Connectivity and I/O

          The Jetson T4000 accelerates low-latency, real-time multi-sensor applications with extensive I/O capabilities:

          • 3× 25 GbE Networking: High-speed network connectivity for industrial and robotics applications
          • PCIe 5.0 Support: High-bandwidth interface for peripherals and expansion
          • MIPI CSI Camera Support: Advanced camera pipeline for multi-camera vision systems
          • GMSL Support: Automotive-grade camera connectivity for demanding real-time vision workloads
          • Extensive Low-Speed I/O: Multiple GPIO, I2C, SPI, UART interfaces for sensor integration

          Ideal Applications

          The NVIDIA Jetson T4000 is the perfect choice for developers and system integrators building:

          • Humanoid Robotics: Real-time control and perception for next-generation robots
          • Autonomous Mobile Robots (AMRs): Navigation, obstacle avoidance, and decision-making at the edge
          • Industrial Automation: Smart factories, quality inspection, and predictive maintenance
          • Smart Infrastructure: Video analytics, visual AI agents, and intelligent monitoring systems
          • Medical Robotics: Advanced surgical systems and medical imaging applications
          • Retail & Logistics: Inventory management, automated warehousing, and intelligent checkout systems

          Software Ecosystem

          The T4000 is supported by NVIDIA JetPack 7.1, the most advanced software platform for Jetson, featuring Linux Kernel 6.8 and Ubuntu 24.04 LTS. JetPack 7 aligns with Server Base System Architecture (SBSA) and includes support for CUDA 13.0, TensorRT, cuDNN, and comprehensive AI libraries. Developers gain access to:

          • NVIDIA Isaac Platform: Complete robotics development framework including Isaac GR00T foundational models
          • NVIDIA Metropolis: Visual agentic AI and intelligent video analytics
          • NVIDIA Holoscan: High-performance sensor processing and streaming
          • Jetson AI Lab: Open-source models, tutorials, and community resources
          • Partner Ecosystem: Production-ready carrier boards, cameras, sensors, and design services from established partners

          What's in the Box

          • NVIDIA Jetson T4000 Module
          • Thermal interface material (TIM)
          • Module mounting hardware
          • Quick start documentation

          Full Specifications

          GPU

          Architecture NVIDIA Blackwell
          GPU Cores 2 GPC, 6 TPC, 1536 NVIDIA CUDA cores
          Tensor Cores 5th Generation Tensor cores with Transformer engine
          AI Performance Up to 1200 FP4 TFLOPS (sparse)
          Multi-Instance GPU MIG support for workload isolation

          CPU

          CPU Cores 12-core Arm Neoverse V3AE (64-bit)
          Cache 50MB L2 cache

          Memory

          Memory 64GB LPDDR5x
          Memory Bandwidth Up to 273.2GB/s

          Video Processing

          Video Encode (NVENC) 1× encoder (H.265, H.264)
          Video Decode (NVDEC) 1× decoder (H.265, H.264, 8K/4K support)
          Vision Accelerator 3rd generation Programmable Vision Accelerator (PVA)
          Optical Flow Accelerator Hardware-accelerated optical flow and stereo disparity

          Networking & Storage

          Ethernet 3× 25 GbE
          PCIe PCIe 5.0 x16

          Camera & Sensor Interfaces

          MIPI CSI Multiple camera lanes (specifications preliminary)
          GMSL Automotive camera support

          Power

          Power Consumption Configurable 40W to 70W

          Software Support

          JetPack Version JetPack 7.1
          Operating System Ubuntu 24.04 LTS
          Linux Kernel 6.8
          CUDA CUDA 13.0+
          Graphics APIs OpenGL 4.6+, OpenGL ES 3.2, Vulkan 1.1+

          Form Factor

          Module Type System-on-Module (SoM)
          Interface Jetson Thor Series connector

          Specifications are sourced from the manufacturer product page and may be updated. Some specifications for the Jetson T4000 module encode, decode, and low-speed I/O are preliminary and subject to change.

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          You’ll receive a tracking number by email once your order is shipped. If you haven’t received it within 2 business days, please contact us at admin@projectorsaustralia.com.au.

          Can I return my product?

          We accept change-of-mind returns within 28 days, as long as the item is in unused, saleable condition and in its original packaging. A 10% restocking fee applies. Return shipping is at the buyer’s expense.

          To begin a return, contact us at admin@projectorsaustralia.com.au to request a Return Authorisation Number.

          Read our full Returns Policy for more details.

          What can I do if my item (or part of it) is damaged?

          Please contact us at admin@projectorsaustralia.com.au within 24 hours of receiving your delivery. Include:

          • Your order number
          • A description of the issue
          • Clear photos of the damage or issue

          We’ll work quickly to resolve it through a refund, replacement, or repair in accordance with our policy and Australian Consumer Law.

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