dstack
Self-hosted container management tool that provides container orchestrator designed for AI teams. Manage GPU workloads.
Overview
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 GPU provisioning and orchestration across GPU clouds, Kubernetes, and on-prem clusters. dstack is a unified control plane for GPU provisioning and orchestration that works with any GPU cloud, Kubernetes, or on-prem clusters. The project has 2K+ GitHub stars and is licensed under MPL-2.0.
Getting Started
Source: GitHub README
$ uv tool install "dstack[all]" -U$ pip install "dstack[all]" -UNormalized Features
Source: tool-features-normalized.json
kubernetes, pip, rest api.
Deploy
Features
Integrations & APIs
- REST API
Replaces
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