NVIDIA Jetson Thor T3000 Module

Mainstream robotics and edge AI are moving from research labs to mass-market deployment. This is driving the demand for compact, power-efficient AI supercomputers capable of running foundation models at the edge.

T3000 module based on the NVIDIA Thor™ architecture that enable mass-market robotics and edge AI applications at scale. With the newly released Jetson Agent Skills, developers can optimize the entire software stack and achieve significant memory savings in days instead of weeks. These skills support the entire NVIDIA Jetson™ portfolio, letting you run more capable workloads on lower-memory configurations.

The NVIDIA Jetson Thor T3000 is a streamlined version of the flagship Thor T5000 solution. It packs 865 TFLOPs of FP4 (AI) compute in a form factor that is roughly half the size and power of the T5000. Just like the higher-end solutions, the Thor T3000 packs an NVIDIA Blackwell GPU, up to eight Arm Neoverse CPU cores, 32 GB of LPDDR5X memory with 273 GB/s of bandwidth, 25 GbE connectivity, and the same safety features when running the NVIDIA Halos Robotics stack.

Coming soon!  Shipping in Q1 2027