# DeepSpeed

> Deep learning optimization library

Makes distributed training and inference of large models faster and cheaper.

- Source: https://github.com/deepspeedai/DeepSpeed
- Homepage: https://www.deepspeed.ai/
- License: Apache-2.0
- Language: Python
- Stars: 43173
- Forks: 5026
- Contributors: 546
- Last commit: 2026-10-03
- Latest release: v0.19.7 (2026-09-16)
- Purpose: AI & LLM tooling
- Runs on: Library / SDK
- For: Enterprise

## Worth score: 83/100

How much DigGitHub recommends it, from activity, adoption, docs, license and security signals.

- Popularity: 23/25
- Momentum: 10/20
- Maintenance: 25/25
- Community: 14/15
- Readiness: 11/15

## Alternatives

- [Colossal-AI](https://diggithub.com/hpcaitech/ColossalAI.md): Cheaper, faster large model training
- [YOLOv5](https://diggithub.com/ultralytics/yolov5.md): YOLOv5 object detection in PyTorch
- [ncnn](https://diggithub.com/Tencent/ncnn.md): Neural network inference for mobile
- [PyTorch](https://diggithub.com/pytorch/pytorch.md): Tensors and neural networks with GPU acceleration
- [vLLM](https://diggithub.com/vllm-project/vllm.md): High-throughput LLM serving engine
- [Oumi](https://diggithub.com/oumi-ai/oumi.md): Fine-tune, evaluate and deploy open models
- [MediaPipe](https://diggithub.com/google-ai-edge/mediapipe.md): On-device ML for live media
- [OpenVINO](https://diggithub.com/openvinotoolkit/openvino.md): Optimize and deploy AI inference

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Source page: https://diggithub.com/deepspeedai/DeepSpeed
Updated: 2026-10-04