# Hugging Face — How to Use NVIDIA Warp and MjWarp to Accelerate Robotics Simulation and Learning Workflows

- Company: Hugging Face (huggingface.co)
- Announced: 2026-09-23T18:41:40+00:00
- Category: developer-tool-release
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://huggingface.co/blog/nvidia/how-to-use-nvidia-warp-and-mjwarp
- Record: https://forck.live/items/13455-how-to-use-nvidia-warp-and-mjwarp-to-accelerate-robotics-simulation-and
- Subject: Platform

Hugging Face and NVIDIA published a guide on using NVIDIA Warp and MuJoCo Warp (MJWarp) to accelerate robotics simulation on GPUs. The article demonstrates how to scale robot simulation from single CPU-based environments to up to 2,048 parallel GPU-accelerated environments, enabling faster batch processing for reinforcement learning and large-scale sampling workflows.

## Evidence

Verbatim from https://huggingface.co/blog/nvidia/how-to-use-nvidia-warp-and-mjwarp:

> MuJoCo Warp (MJWarp), built on NVIDIA Warp, takes compatible MuJoCo models into that GPU-scale regime. In this article, we will move an SO-101 follower arm from a familiar MuJoCo workflow to as many as 2,048 parallel MJWarp environments and examine the technology and validation steps that make the transition possible.

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Record: https://forck.live/items/13455-how-to-use-nvidia-warp-and-mjwarp-to-accelerate-robotics-simulation-and
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