dstack
by dstackai
dstack is an open-source control plane for running development, training, and inference jobs on GPUs—across hyperscalers, neoclouds, or on-prem.
2,067stars
219forks
Python
Added 3/18/2026
AI Agentsamdcloudcontainersdockerfine-tuning
Installation
# Add to your Claude Code skills
git clone https://github.com/dstackai/dstack<div style="text-align: center;">
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<img alt="dstack" src="https://raw.githubusercontent.com/dstackai/dstack/master/docs/assets/images/dstack-logo.svg" width="350px"/>
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dstack 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
dstack supports NVIDIA, AMD, Google TPU, Intel Gaudi, and Tenstorrent 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
- [2025/10] dstack 0.19.31: Kubernetes, GCP A4 spot
- [2025/08] dstack 0.19.26: Repos
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