dstack provides a unified control plane for GPU provisioning and orchestration that supports NVIDIA, AMD, Google TPU, and Tenstorrent accelerators. It streamlines ML model development by managing GPU infrastructure across clouds, Kubernetes clusters, and on-premises environments. The platform handles the operational complexity of running distributed training jobs and serving inference workloads at scale.