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NVIDIA Warp and MjWarp let you run 2,048 robot simulations in parallel on GPU

How to Use NVIDIA Warp and MjWarp to Accelerate Robotics Simulation and Learning Workflows

NVIDIA released MjWarp, a GPU-accelerated version of MuJoCo built on Warp. Classic MuJoCo runs on CPU and parallelizes across cores; MjWarp runs on GPU and can simulate up to 2,048 worlds at once. This matters for learning workloads like RL that need massive sampling—data stays on the GPU. The post walks through migrating an SO-101 arm, but doesn't give exact speedup numbers.

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