The NVIDIA Jetson T5000 unlocks real-time reasoning for general robotics and physical AI with the highest level of performance. You get 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 than NVIDIA AGX Orin, with 3.5x better energy efficiency.
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.
Jetson Thor belongs to a new class of robotic computers, architected from the ground up to power next-generation physical AI applications. With the new Blackwell GPU architecture, it is built for generative reasoning and multimodal sensor processing. It also 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 like Cosmos Reason. 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 video analytics AI agents at the edge using NVIDIA Blueprints like Video Search and Summarization (VSS) with NVIDIA Cosmos Reason as the VLM.
Jetson Thor module gives you production-ready performance, massive AI compute, and sensor capabilities for physical AI applications in a compact form factor. This makes it the ideal platform for developers looking to unlock new possibilities for humanoid robotics and other physical AI applications.
Quick comparison between NVIDIA Jetson T4000 and T5000:
| Features | NVIDIA Jetson T4000 | NVIDIA Jetson T5000 |
|---|---|---|
| AI Performance | 1,200 FP4 Sparse TFLOPs | 2,070 FP4 Sparse TFLOPs |
| GPU | 1,536-core NVIDIA Blackwell architecture GPU with fifth-generation Tensor cores Multi-Instance GPU with 6 TPCs | 2,650-core NVIDIA Blackwell architecture GPU with fifth-generation Tensor cores Multi-Instance GPU with 10 TPCs |
| Memory | 64 GB 256-bit LPDDR5x | 273 GBps | 128 GB 256-bit LPDDR5x | 273 GBps |
| CPU | 12-core Arm Neoverse-V3AE 64-bit CPU | 14-core Arm Neoverse-V3AE 64-bit CPU |
| Video Encode | 1x NVENC | 2x NVENC |
| Video Decode | 1x NVDEC | 2x NVDEC |
| Networking | 3x 25GbE | 4x 25GbE |
| I/Os | Up to 8 lanes of PCIe Gen5 5x I2S | 1x Audio Hub (AHUB) | 2x DMIs 4x UART | 3x SPI | 13x I2C | 6x PWM outputs | Up to 8 lanes of PCIe Gen5 5x I2S / 2x Audio Hub (AHUB) 2x DMIs | 4x UART | 4x CAN 3x SPI | 13x I2C | 6x PWM outputs |
| Power | 40W – 70W | 40W – 130W |
Note: For detailed technical Specification go through Datasheet in attachments Sections.
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