N-VIDIA Jetson Thor T4000 / T5000, Up To 1200 / 2070 FP4 TFLOPS Of AI Compute And 64 / 128 GB Of Memory, Delivering The Ultimate Platform For Physical AI And Humanoid Robotics

The N-VIDIA Jetson Thor series of modules gives you the ultimate platform for physical AI and robotics, delivering up to 1200 FP4 TFLOPS / 2070 FP4 TFLOPS of AI compute and 64GB / 128 GB of memory with power configurable between 40 W and 70 W, or between 40 W and 130 W. They deliver over 7.5x higher AI compute than N-VIDIA Jetson AGX Orin, with 3.5x better energy efficiency. This system-on-module (SoM) features an N-VIDIA Blackwell architecture GPU with a Transformer engine and Multi-Instance GPU (MIG) support to effortlessly run the latest generative AI models. N-VIDIA Jetson Thor accelerates low-latency, real-time multi-sensor applications with a 12-core / 14-core Arm® Neoverse®-V3AE CPU, 3x / 4x 25 GbE networking, and extensive I/O options for sensor fusion. It also includes a suite of accelerators, including a third-generation Programmable Vision Accelerator (PVA), dual encoders and decoders, an optical flow accelerator, and more. Jetson Thor series supports a wide range of generative AI models, from vision language action (VLA) models like N-VIDIA Isaac™ GR00T for humanoids to all popular large language models (LLMs) and vision language models (VLMs). To deliver a seamless cloud-to-edge experience, Jetson Thor runs the N-VIDIA AI software stack for physical AI applications, including N-VIDIA Isaac for robotics, N-VIDIA Metropolis for visual agentic AI, and N-VIDIA Holoscan for sensor processing. You can also build AI agents at the edge using N-VIDIA agentic AI workflows like Video Search and Summarization (VSS).