NVIDIA Jetson Thor T5000 Module for Next-Gen Physical AI
NVIDIA Jetson Thor T5000 Module, 128GB LPDDR5x, 14-Core ARM Neoverse V3AE, 2560 CUDA Cores, 2070 FP4 TFLOPS, Blackwell
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- From £103.45 / month (APR 16.9%) for 48 months or 0% for 4 months
- With a 10% deposit from just £91.64 / month (APR 15.9%)
A New Benchmark for Physical AI
The NVIDIA® Jetson T5000™ module offers the highest level of performance for physical AI and robotics. It delivers up to 2070 FP4 TFLOPS of AI compute and 128 GB of memory with power configurable between 40 W and 130 W. Compared to AGX Orin™, it delivers over 7.5x higher AI compute and 3.5x better energy efficiency.
Unmatched Hardware Architecture
This system-on-module features an NVIDIA Blackwell architecture GPU with a transformer engine and Multi-Instance GPU (MIG) support to effortlessly run the latest generative AI models. NVIDIA Jetson Thor accelerates low-latency, real-time multi-sensor applications with a 14-core Arm® Neoverse®-V3AE CPU, 4x 25 GbE networking, and extensive I/O options for sensor fusion. It also includes a suite of accelerators, such as a third-generation Programmable Vision Accelerator (PVA), dual encoders and decoders, an optical flow accelerator, and more.
Generative AI and Multi-Sensor Performance
Jetson Thor belongs to a new class of robotic computers, architected from the ground up to power next-generation physical AI applications. It supports a wide range of generative AI models, from Vision Language Action (VLA) models like NVIDIA Isaac™ GR00T for humanoids to all popular LLMs and VLMs. To deliver a seamless cloud-to-edge experience, Jetson Thor runs the NVIDIA AI software stack for physical AI applications, including NVIDIA Isaac for robotics, NVIDIA Metropolis for visual agentic AI, and NVIDIA Holoscan for sensor processing. You can also build AI agents at the edge using NVIDIA agentic AI workflows like Video Search and Summarization (VSS).
Ready for the Future?
Jetson Thor modules provide production-ready performance, massive AI compute, and sensor capabilities for physical AI applications in a compact form factor. This makes them the ideal platform for developers looking to unlock new possibilities for humanoid robotics and other physical AI applications. This lets you accelerate solution development in industries from robotics and smart spaces to retail, industrial, medical, and more.
Features
• 2070 FP4 TFLOPS AI compute performance in a compact module.
• NVIDIA Blackwell GPU with 2560 CUDA cores and 96 Tensor Cores.
• 14-core Arm Neoverse-V3AE 64-bit CPU for high-throughput processing.
• Dual NVDLA v3.0 + PVA v3.0 accelerators for AI inference, vision, and sensor workloads.
• 128GB LPDDR5X memory, 256-bit, 273 GB/s bandwidth.
• Expandable storage via NVMe over PCIe.
• Camera input: multi-sensor support for low-latency, real-time applications.
• Video encode/decode: dual encoders/decoders plus optical flow accelerator for high-resolution streams.
• Supported Connectivity: 4× 25 GbE, PCIe Gen4, USB, and extensive I/O for sensors.
• Power range: 40W–130W configurable for efficiency or maximum performance.
• Compact module footprint: 100mm × 87mm with 699-pin B2B connector and integrated thermal transfer plate.
• Supports MIG (Multi-Instance GPU) and transformer engine for generative AI and large models.
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| Cost of purchase: | £3,668.99 |
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| Instalment Rate: | 16.9% p.a. (fixed) |
| Cost of purchase: | £3,668.99 |
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| Instalment Rate: | 16.9% p.a. (fixed) |
| Cost of purchase: | £3,668.99 |
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| Monthly Payment: | £103.45 |
| Instalment Rate: | 16.9% p.a. (fixed) |
| Cost of purchase: | £3,668.99 |
| Total inc. interest: | £4,965.53 |
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