dstack

dstack is an AI container orchestration platform designed to ease the burden of managing machine learning workloads on both cloud and on-premise environments. It acts as an alternative to Kubernetes and Slurm, targeting the AI-specific operational needs of ML teams. By integrating seamlessly with top GPU clouds, it streamlines processes like provisioning, allocation, and utilization of cloud GPUs, providing a unified interface for enhanced development and deployment. With dstack, ML teams can efficiently orchestrate AI workloads by deploying auto-scaling model endpoints, scheduling jobs on clusters, and launching containerized development environments, all with a focus on simplifying and reducing the cost of GPU operations.