deepspeedai/DeepSpeed
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Builder
deepspeedai
deepspeedai • individual
Stars
41,975
Using upstream star count
Forks
4,772
Using upstream fork count
Open Issues
0
Activity Score
0/100
0 commits in 30d
Created
Jan 23, 2020
Project creation date
README Summary
DeepSpeed is a deep learning optimization library developed by Microsoft that enables efficient distributed training and inference for large-scale models. It provides memory optimization techniques, model parallelism, and gradient compression to make training billion-parameter models accessible on limited hardware. The library integrates with popular frameworks like PyTorch and Transformers to accelerate deep learning workflows.
AI Dev Skills
Unmapped
Tags
Taxonomy
AI Trends
Deployment Context
Modalities
Skill Areas
Recent Activity
Updated 22 days ago
7 Days
0
30 Days
0
90 Days
0
Quality
production- Quality
- high
- Maturity
- production
Categories
PM Skills
Languages
Timeline
- Project created
- Jan 23, 2020
- Forked
- Mar 22, 2026
- Your last push
- 22 days ago
- Upstream last push
- 7 days ago
- Tracked since
- Mar 22, 2026
Similar Repos
pgvector cosine similarity · $0
Loading…