Infrastructure & MLOps

Dstack

Dstack is an open-source control plane designed for GPU provisioning and orchestration. It supports deployment across GPU clouds, Kubernetes environments, and on-premises clusters, enabling AI teams to manage GPU resources efficiently. The platform facilitates container orchestration tailored specifically for AI workloads, helping teams allocate and scale GPU resources as needed. Dstack integrates with existing infrastructure setups, providing a unified interface for managing diverse GPU environments.

Updated Dec 28, 2025open-source

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Overview

Dstack is an open-source platform for GPU provisioning and orchestration across cloud, Kubernetes, and on-prem clusters.

Pricing

open-source

AI Model Training

Provision GPUs dynamically for training machine learning models across cloud and on-prem clusters.

Resource Management

Centralize GPU resource management for AI teams working in hybrid environments.

Quick Start

Install Dstack

Clone the GitHub repository and follow the installation instructions in the documentation.

Configure Environments

Set up connections to your GPU cloud accounts, Kubernetes clusters, or on-premises GPU clusters.

Deploy AI Workloads

Use Dstack commands or APIs to provision GPUs and orchestrate containerized AI workloads.

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