W
warp
NVIDIA/warp
A Python framework for GPU-accelerated simulation, robotics, and machine learning.
★7.0kstars
Python
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?Data & Infrastructure project leveraging cuda and differentiable-programming, built with Python, open-source
Who made it?Maintained by NVIDIA team, 7K⭐ on GitHub, #273 out of 3133 in Data & Infrastructure
Why does it exist?The NVIDIA team recognized that existing cuda tools in Data & Infrastructure were hard to use. warp was designed to make differentiable-programming more accessible.
What can it do?Key use cases: gpu, gpu-acceleration, nvidia
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/NVIDIA/warp | 官网 https://nvidia.github.io/warp/stable/
🔗 github.com/NVIDIA/warp | 官网 https://nvidia.github.io/warp/stable/
Topics
cudadifferentiable-programminggpugpu-accelerationnvidianvidia-warppython