{"repo":"dstackai/dstack","free":true,"listed":false,"github":"https://github.com/dstackai/dstack","clone":"git clone https://github.com/dstackai/dstack.git","description":"Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.","language":"Python","stars":2214,"topics":["machine-learning","python","gpu","llms","cloud","orchestration","fine-tuning","training","kubernetes","k8s"],"license":"MPL-2.0","category":"deployment-docker-iac","readme_excerpt":"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 , and Tenstorrent accelerators out of the box. Latest news ✨ - [2026/08] dstack 0.21.0: Pydantic v2, Gateway replicas - [2026/07] dstack 0.20.29: Presets — agent-driven inference optimization (experimental) - [2026/07] dstack 0.20.27: Slurm backend - [2026/05] dstack 0.20.21: Kubernetes multiple clusters - [2026/05] dstack 0.20.20: NVIDIA Dynamo integration - [2026/04] dstack 0.20.17: Kubernetes volumes - [2026/02] dstack 0.20.10: PD disaggregation support - [2026/01] dstack 0.20.7: Replica groups How does it work? Launch the server Before using dstack through CLI or API, set up a dstack server. If you already have a running dstack server, you only need to install the CLI. To orchestrate compute across GPU clouds or Kubernetes clusters, you need to configure backends. When using dstack with on-prem servers, backend configuration isn’t required. Simply create SSH fleets once the server is up. The server can be installed on Linux, macOS, and Windows (via WSL 2). It requires Git and OpenSSH. For more details on server configuration options, see the Server deployment guide. Install the CLI If the CLI is not installed with the server Once the server is up, you can acces","default_branch":null,"files":null,"tree":[],"storefront":"/r/dstackai","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/dstackai/dstack/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}