by dstackai · Agent Tool · ★ 2.1k
is a unified control plane for GPU provisioning and orchestration that works with any GPU cloud, Kubernetes, or on-prem clusters. It streamlines development, training, and inference, and is compatible with any hardware, open-source tools, and frameworks. Accelerators supports , , , , and accelerators out of the box. Latest news ✨ [2025/12] dstack 0.20.0: Fleet-first UX, Events, and more [2025/11] dstack 0.19.38: Routers, SGLang Model Gateway integration [2
| Stars | 2,145 |
| Forks | 230 |
| Language | Python |
| Category | Agent Tool |
| License | MPL-2.0 |
| Quality Score | 50.268/100 |
| Open Issues | 71 |
| Last Updated | 2026-05-22 |
| Created | 2022-01-04 |
| Platforms | docker, k8s, python |
| Est. Tokens | ~8201k |
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dstack is Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.. It is categorized as a Agent Tool with 2.1k GitHub stars.
dstack is primarily written in Python. It covers topics such as agent-skills, agentic-orchestration, amd.
You can find installation instructions and usage details in the dstack GitHub repository at github.com/dstackai/dstack. The project has 2.1k stars and 230 forks, indicating an active community.
dstack is released under the MPL-2.0 license, making it free to use and modify according to the license terms.