---
title: "Warp"
description: "1 posts about Warp, summarised, each linking to the original."
---

# Warp
> 1 posts about Warp, summarised, each linking to the original.

## Articles

### [How to Use NVIDIA Warp and MjWarp to Accelerate Robotics Simulation and Learning Workflows](https://yomu.fyi/post/how-to-use-nvidia-warp-and-mjwarp-to-accelerate-robotics-simulation-an.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: Johnny Nuñez Cano, Asier Arranz, Rishabh Chadha, Ben Oliveri
- Published: Sep 23, 2026
- Type: Tutorial

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.