dstackai / dstack
A unified orchestration layer for heterogeneous AI compute. It standardizes how to manage compute and run training and inference on GPU clouds, Kubernetes, VMs, or bare-metal clusters.
Why this job: topics: fine-tuning, training
What it does
It streamlines development, training, and inference, and is compatible with any hardware, open-source tools, and frameworks.
Get started
$ uv tool install dstack -U- Maintenance
- Active
- Last commit 3 days ago
- Stars
- 2,308
- +8 this week
- Licence
- MPL-2.0
- Share-alike for changes
- Downloads for
- None listed
- No release files
- Latest version
- 0.22.7
- Released 5 days ago
- Built with
- Python
- 78% of the code
Is it looked after?
- Contributors
- 7
- Last 90 days
- Issues
- 97% closed
- 58 still open
- Pull requests
- 2,435 merged
- 7 waiting
- Releases
- 168
- 30+ in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Python 78%
- TypeScript 12%
- Go 5%
- CSS 3%
Topics
- machine-learning
- python
- gpu
- llms
- cloud
- orchestration
- fine-tuning
- training
- kubernetes
- k8s
- amd
- docker
Project record
- JobFine-tuning
- StatusFeatured
- Commits3,965
- Forks274
- Watching14
- Stars in 28 days+33
- CreatedJan 4, 2022
- First seen by usNov 7, 2026
- CheckedNov 9, 2026