NVIDIA T3000 and T2000 target robotics cost and power limits

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NVIDIA introduced the Thor-based T3000 and T2000 chips today, targeting mass-market robotics and edge AI deployment.

For robotics companies weighing custom silicon against off-the-shelf platforms, the calculation now includes a set of Thor-architecture modules built for the cost and power constraints that come with running foundation models outside a data centre.

NVIDIA’s Jetson AGX Thor family already sits inside humanoid and mobile robot programmes at 1X, Agile Robots, Amazon Robotics, Boston Dynamics, FANUC, Hitachi, and Techman Robot, according to the company. The T3000 and T2000 extend that lineup downward, offering smaller footprints and lower memory ceilings aimed at the point where robotics programmes transition from pilot fleets to purchasing decisions made at volume.

Compute density against a shrinking power budget

The T3000 delivers 865 FP4 teraflops of AI compute in a package NVIDIA describes as roughly half the size and power draw of its existing T5000 module. The board...

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