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NVIDIA Jetson T5000 Module
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NVIDIA Jetson T5000 Module

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SKU: Jetson T5000 Module
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  • Delivers up to 2070 FP4 TFLOPS of AI compute power for advanced robotics.
  • Features a 14-core Arm Neoverse V3-AE CPU for high-performance real-time processing.
  • Equipped with 128 GB of high-speed LPDDR5X memory for complex AI workloads.
  • Compact, energy-efficient design with integrated thermal management for demanding environments.
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Key Points

  • Powered by the advanced NVIDIA Blackwell architecture GPU.
  • Includes 96 fifth-generation Tensor Cores for accelerated AI tasks.
  • Supports multi-instance GPU (MIG) with 10 TPCs for flexible resource allocation.
  • High-bandwidth 273 GB/s memory architecture.
  • Versatile I/O support for up to 32 cameras via virtual channels.
  • Integrated Thermal Transfer Plate (TTP) with heatpipe for reliable cooling.
  • Scalable power profile ranging from 40 W to 130 W.

The NVIDIA Jetson T5000 Module is engineered to accelerate the future of physical AI and autonomous robotics. By leveraging the cutting-edge Blackwell architecture, this module provides a massive leap in performance, delivering up to 7.5 times the AI compute capability of previous generations. It is designed to meet the rigorous demands of sophisticated robotic systems, including humanoid robots, advanced medical diagnostic equipment, and industrial autonomous machines that require real-time decision-making and complex multi-sensor processing.

Beyond its raw compute power, the T5000 offers a robust and flexible platform for developers. With 128 GB of LPDDR5X memory and a 14-core Arm Neoverse V3-AE CPU, it handles intensive multitasking and data-heavy applications with ease. The module's extensive I/O capabilities—including support for up to 32 cameras, 25 GbE networking, and multiple PCIe Gen5 lanes—ensure seamless integration into diverse hardware ecosystems. Housed in a compact 100 mm x 87 mm form factor with an integrated thermal transfer plate, it provides the reliability and efficiency needed for deployment in challenging real-world environments.

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