Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
dstack is a control plane that provisions and coordinates GPU computing for machine-learning development, training, inference, and agent workloads across cloud providers, Kubernetes, and on-premises clusters. It is used by teams running workloads on NVIDIA, AMD, Google TPU, or Tenstorrent hardware. The catalogue add-ons operate dstack through its CLI, API, or server workflow.
Latest release 0.21.5 · 3 Sept 2026
These files are dstackai/dstack's own configuration. They tell Codex and OpenCode how to work on this repository, so they are not mods to install elsewhere. Copy one as a starting point and replace the parts that are about this project.
AGENTS.md A 1,242 tok