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deepspeedai/DeepSpeed — DeepSpeed is a deep learning optimization library that | Sourcevana

HomeML Training & InferenceDeepSpeed

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Python42.3K4.8KUpdated 1d agoFeatured

Quick Overview

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Scores

Trust Score

78

Star reputation (15%)93

Star velocity 7d (15%)0

Commit recency (15%)100

Fork ratio (10%)38

Issue ratio (10%)69

Contributor signal (10%)100

README quality (5%)100

License (5%)100

Homepage/demo (5%)100

Docs URL (5%)0

Topic count (5%)100

Maintenance

74

Commit frequency95

Issue management25

Documentation85

Popularity

67

Stars100

Forks100

Growth trend10

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README

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Latest News

[2026/03] DeepSpeed Team gave a tutorial at ASPLOS 2026 titled "Building Efficient Large-Scale Model Systems with DeepSpeed: From Open-Source Foundations to Emerging Research"
[2026/03] Our SuperOffload work received an Honorable Mention for the ASPLOS 2026 Best Paper Award
[2025/12] DeepSpeed Core API updates: PyTorch-style backward and low-precision master states
[2025/11] DeepSpeed ZeRO++ powers large-scale distillation training of LLMs for Recommendation Systems at LinkedIn
[2025/10] We hosted the Ray x DeepSpeed Meetup at Anyscale. We shared our most recent work on SuperOffload, ZenFlow, Muon Optimizer Support, Arctic Long Sequence Training and DeepCompile. Please find the meetup slides here.
[2025/10] SuperOffload: Unleashing the Power of Large-Scale LLM Training on Superchips

Trust Score

78

Sourcevana Trust · 78/100

License

Apache-2.0

Languages

Python74.1%

C++17.0%

Cuda8.0%

Other0.8%

Topics

billion-parameters compression data-parallelism deep-learning gpu inference machine-learning mixture-of-experts model-parallelism pipeline-parallelism pytorch trillion-parameters+1 more

AddedMay 4, 2026

UpdatedMay 4, 2026

Last commit1d ago

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