Hardware

GPU Computing

GPU computing is the use of graphics processing units as massively parallel processors for general computation, programmed through frameworks such as CUDA. In robotics, GPUs train and serve neural policies, accelerate perception, and run massively parallel physics simulation: Isaac Gym demonstrated training locomotion policies with thousands of simulated robots on a single GPU. Embedded GPU modules like the NVIDIA Jetson family bring inference onboard power-constrained robots.

Why it matters for physical AI

The entire modern robot learning pipeline, from parallel simulation through foundation-model training to onboard policy inference, is built on GPU throughput; available FLOPs largely set the pace of physical AI progress.