deepspeed
https://github.com/microsoft/deepspeed
Python
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
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- Issues
- [REQUEST] New Integration - NeptuneMonitor
- [BUG] Deepspeed-Inference: support AutoTP for Llama-4 models
- Test hangs when world_size=4 and reuse_dist_env=True on PyTorch >= 2.7.0
- [HELP] Perform backpropagation separately for the two losses and extract the corresponding gradients.
- [Roadmap] DeepSpeed Roadmap Q1 2026
- Introduce Megatron-style parallel state management
- [BUG] Bug while using deepspeed with TRL with vLLM
- [REQUEST] Expose TP/DP/PP Rank as Environment Variable for integration with low Level Profiling Tools
- [REQUEST] Add support for non-__dict__ outputs such as MinkowskiEngine SparseTensor in ZeRO Stage 3 (DeepSpeed v0.9.2)
- Add EXAONE 4.0 model support for DeepSpeed inference v2 @
- Docs
- Python not yet supported