C
ColossalAI
hpcaitech/ColossalAI
Making large AI models cheaper, faster and more accessible
★41.4kstars
Python
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?A , built with Python open-source project in the Data & Infrastructure category, core strengths: big-model/data-parallelism
Who made it?Maintained by hpcaitech team, 41.4K⭐ on GitHub, #36 out of 3133 in Data & Infrastructure
Why does it exist?In the Data & Infrastructure space, big-model workflows faced efficiency bottlenecks. ColossalAI was built by hpcaitech to address these data-parallelism challenges.
What can it do?Key use cases: deep-learning, distributed-computing, foundation-models
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/hpcaitech/ColossalAI | 官网 https://www.colossalai.org
🔗 github.com/hpcaitech/ColossalAI | 官网 https://www.colossalai.org
Topics
aibig-modeldata-parallelismdeep-learningdistributed-computingfoundation-modelsheterogeneous-traininghpcinferencelarge-scalemodel-parallelismpipeline-parallelism