# microsoft/deepspeed

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## Links

- GitHub: https://github.com/microsoft/DeepSpeed
- awesome-repositories: https://awesome-repositories.com/repository/microsoft-deepspeed.md

## Tags

### Part of an Awesome List

- [Deep Learning Frameworks](https://awesome-repositories.com/f/awesome-lists/ai/deep-learning-frameworks.md) — Optimizes distributed training and inference for large models.
- [Inference Frameworks](https://awesome-repositories.com/f/awesome-lists/ai/inference-frameworks.md) — Scalable library for distributed training and high-throughput inference.
- [LLM Training and Optimization](https://awesome-repositories.com/f/awesome-lists/ai/llm-training-and-optimization.md) — Library for optimized training and RLHF implementation.
- [Model Quantization Tools](https://awesome-repositories.com/f/awesome-lists/ai/model-quantization-tools.md) — Comprehensive library for quantization and efficient inference.
- [Model Training Frameworks](https://awesome-repositories.com/f/awesome-lists/ai/model-training-frameworks.md) — Optimization library for efficient distributed training and inference.
- [Open Source Models](https://awesome-repositories.com/f/awesome-lists/ai/open-source-models.md) — Optimizes training for large-scale language models.
- [Optimization Tools](https://awesome-repositories.com/f/awesome-lists/ai/optimization-tools.md) — Optimizes distributed training for efficiency and scale.
- [Training Frameworks](https://awesome-repositories.com/f/awesome-lists/devtools/training-frameworks.md) — Framework for efficient RLHF and large-scale model training.