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Warp

1 post about Warp. Every summary links to the original.

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Hugging Face
How to Use NVIDIA Warp and MjWarp to Accelerate Robotics Simulation and Learning Workflows
NVIDIA Warp is a Python framework for writing GPU-accelerated kernels that compiles statically typed Python to CUDA. MuJoCo Warp (MJWarp) implements MuJoCo physics on Warp, enabling batched simulation of hundreds to thousands of independent robot environments on NVIDIA GPUs. The core API transition is small: mjw.put_model and mjw.put_data replace mujoco.MjModel and mujoco.MjData, and mjw.step advances the entire batch. Proper throughput measurement requires GPU synchronization and warm-up to avoid timing queue latency instead of actual GPU work. The post demonstrates moving an SO-101 follower arm from a single CPU world to 2,048 parallel MJWarp environments, validating parity and measuring aggregate world-steps per second.

The best engineering reads, once a week.

Topic

1 post about Warp. Every summary links to the original.

Paid picks we use ourselves. Links carry a referral code — a subscription through one earns us a commission at no extra cost to you.

Newest first

Hugging Face
How to Use NVIDIA Warp and MjWarp to Accelerate Robotics Simulation and Learning Workflows
NVIDIA Warp is a Python framework for writing GPU-accelerated kernels that compiles statically typed Python to CUDA. MuJoCo Warp (MJWarp) implements MuJoCo physics on Warp, enabling batched simulation of hundreds to thousands of independent robot environments on NVIDIA GPUs. The core API transition is small: mjw.put_model and mjw.put_data replace mujoco.MjModel and mujoco.MjData, and mjw.step advances the entire batch. Proper throughput measurement requires GPU synchronization and warm-up to avoid timing queue latency instead of actual GPU work. The post demonstrates moving an SO-101 follower arm from a single CPU world to 2,048 parallel MJWarp environments, validating parity and measuring aggregate world-steps per second.

The best engineering reads, once a week.