Overview
Research summary
Colossal-AI assembles parallel computing and memory-management components for large AI model workloads. Its documented techniques include data, tensor, pipeline and sequence parallelism, mixed precision and ZeRO-related optimizations. The project supplies training examples and utilities for adapting large models, with configuration-based control over execution strategies. Engineers can use these components to distribute workloads across multiple accelerators rather than implementing each parallelism layer themselves. Commercial GPU infrastructure linked by the project is a separate offering from the open-source framework.
Repository summary
- Stars
- 41,442
- Open issues
- Unavailable
- Last push
- 2026-09-30
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services available
The provider offers paid products or services. Free options may also be available.
Commercial offering checked 2026-10-02.
Licence scope
Implementation
Recorded implementation details and interfaces for Colossal-AI.
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
- 41,442
- Open issues
- Unavailable
- Last push
- 2026-09-30
- 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.colossalai.org Project page
- https://github.com/hpcaitech/ColossalAI Linked repository · Research reference · Commercial offering evidence
- https://api.github.com/repos/hpcaitech/ColossalAI Research reference
- https://github.com/hpcaitech/ColossalAI/blob/main/README.md Research reference
- https://github.com/hpcaitech/ColossalAI/blob/main/LICENSE Research reference
Research metadata
- Research date
- 2026-10-02
- Catalogue snapshot
- 2026-10-06
Community & social 1 channels
Communities
- GitHub Discussionsgithub.com/hpcaitech/ColossalAI/discussionsOfficial
Link details for GitHub Discussions
- Last checked