DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
DeepSpeed is a software library that helps machine-learning systems train and run deep-learning models across multiple GPUs or machines. It is used by researchers and engineers who need distributed training and inference for large models. The catalogue entries provide instructions for using DeepSpeed.
Latest release v0.19.8 — v0.19.8 Patch Release · 20 Oct 2026
2 files for Codex, OpenCode and Claude Code: DeepSpeed AGENTS.md, pr-checklist — 1,385 tokens loaded in every session.
AGENTS.md A 1,385 tok .agents/skills/pr-checklist/SKILL.md A 54 tok These files are deepspeedai/DeepSpeed's own configuration — they tell Codex, OpenCode and Claude Code how to work on this repository, so they are not mods to install elsewhere. Copy one as a starting point and replace the parts that are about this project.