dstack is an open-source control plane for running development, training, and inference jobs on GPUs—across hyperscalers, neoclouds, or on-prem.
dstack is an open-source control plane for managing GPU-based development, training, and inference workloads across cloud providers, Kubernetes clusters, and on-prem environments. It supports multiple hardware accelerators (NVIDIA, AMD, TPU, Intel Gaudi, Tenstorrent) and provides unified orchestration for dev environments, tasks, services, and fleets. This project is ideal for ML/AI teams needing centralized GPU resource management and workload automation across heterogeneous infrastructure.
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