D
DeepSpeed
deepspeedai/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
★42.9kstars
Python
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?A open-source Data & Infrastructure project, built with Python, focusing on billion-parameters and compression
Who made it?Maintained by deepspeedai team, 42.9K⭐ on GitHub, #35 out of 3133 in Data & Infrastructure
Why does it exist?As the Data & Infrastructure landscape evolved, the deepspeedai team identified the need for better billion-parameters solutions. DeepSpeed was created to simplify compression workflows.
What can it do?Key use cases: data-parallelism, deep-learning, gpu
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/deepspeedai/DeepSpeed | 官网 https://www.deepspeed.ai/
🔗 github.com/deepspeedai/DeepSpeed | 官网 https://www.deepspeed.ai/
Topics
billion-parameterscompressiondata-parallelismdeep-learninggpuinferencemachine-learningmixture-of-expertsmodel-parallelismpipeline-parallelismpytorchtrillion-parameterszero