dstack

AI container orchestration for AI teams

dstack is designed for AI teams to efficiently manage and orchestrate AI workloads across various environments including clouds, Kubernetes, and bare-metal setups. It enhances GPU utilization and reduces dependency on specific vendors. An example use case involves AI researchers using dstack to manage GPU resources for machine learning model training and deployment, ensuring scalable and reproducible results.