NVIDIA unveils Jetson Thor modules for robotics and edge AI

NVIDIA introduced the T3000 and T2000, new modules based on its Thor architecture for mass-market robotics and edge AI applications. The company said general-purpose robots and autonomous machines are shifting from research labs toward real-world deployment, increasing demand for compact, power-efficient AI systems that can run foundation models at the edge.

Jetson AGX Thor is being adopted for humanoid and robotic systems across industries, with companies including 1X, Agile Robots, Amazon Robotics, Boston Dynamics, FANUC, Hitachi and Techman Robot building on the platform. The Jetson and IGX T3000 modules deliver 865 FP4 TeraFLOPS of AI compute in a form factor described as roughly half the size and power of the T5000.

Jetson T3000 combines an NVIDIA Blackwell GPU, an eight-core Neoverse Arm CPU, 32 GB of LPDDR5X memory, 273 GB/s of memory bandwidth and 25 GbE connectivity. IGX T3000 offers the same performance with integrated functional safety and support for NVIDIA Halos for Robotics, a full-stack safety system for robots operating alongside humans.