Overview
Research summary
DeepSpeed provides infrastructure for scaling model training and inference across accelerator resources. Its documented features include ZeRO optimizer-state partitioning, offloading, mixed precision and parallel execution strategies. Developers integrate it into a training program and configure the execution behavior to fit model size and available hardware. The repository also contains examples and research implementations for efficiency improvements. Its primary value is reducing the memory and systems overhead of large-model workloads rather than defining a particular model architecture.
Repository summary
- Stars
- 43,172
- Open issues
- Unavailable
- Last push
- 2026-10-02
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services unknown
Whether the provider offers paid products or services has not been established.
Licence scope
Implementation
Recorded implementation details and interfaces for DeepSpeed.
Implementation details
Python library and supporting tools
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- 43,172
- Open issues
- Unavailable
- Last push
- 2026-10-02
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
- Stars source
- Recorded fallback
- Last push source
- Recorded fallback
Documentation
Recorded references and research provenance for this entry.
Recorded sources 5
- https://www.deepspeed.ai/ Project page
- https://github.com/deepspeedai/DeepSpeed Linked repository · Research reference
- https://api.github.com/repos/deepspeedai/DeepSpeed Research reference
- https://github.com/deepspeedai/DeepSpeed/blob/master/README.md Research reference
- https://github.com/deepspeedai/DeepSpeed/blob/master/LICENSE Research reference
Research metadata
- Research date
- 2026-10-02
- Catalogue snapshot
- 2026-10-06
Community & social 1 channels
Communities
- GitHub Discussionsgithub.com/deepspeedai/DeepSpeed/discussionsOfficial
Link details for GitHub Discussions
- Last checked