Announcing the integration between Nebius and dstack

Traditional orchestration tools such as Kubernetes and Slurm pose challenges for machine learning (ML) teams due to their limitations in handling diverse ML workflows beyond training and inference. Kubernetes offers a low-level interface that can complicate development and training processes, while Slurm is optimized for training but lacks support for tasks like development environment management and inference deployment. dstack is an open-source container orchestration platform designed to address these gaps, enabling ML teams to efficiently manage GPU workloads across both cloud and on-premises environments. The platform facilitates the setup and management of development environments, tasks, services, and clusters, providing a more streamlined approach for handling various ML operations. By leveraging dstack, users can configure environments with tools like Nebius, create development environments accessible via desktop IDEs, and execute multi-node tasks with ease. Additionally, dstack's features extend to running services, managing fleets, and handling volumes, making it a comprehensive solution for ML orchestration needs.

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