Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
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Free · no card · unsubscribe anytimeVendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
dstack has 2.2k stars on GitHub. It has been forked 239 times. dstack is written mainly in Python. It has been in active development since 2022. dstack is available under the MPL-2.0 license. Its main topics are agent-skills, agentic-orchestration, amd, cloud.
Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
dstack is an open-source project. It is released under the MPL-2.0 license.
Yes. dstack is free and open source — you can use, modify and self-host it. Its MPL-2.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
dstack is available under the MPL-2.0 license.
dstack is written mainly in Python.
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