AI Infrastructure · GitHub ·2,089 ★

dstack

Control plane for agents and engineers to provision compute and run training and inference across NVIDIA, AMD, TPU, and Tenstorrent GPUs—on clouds, Kubernetes, and bare-metal clusters.

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Details

Author
dstackai
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
python
Stars
2,089
First indexed
2026-05-15
Last active
2026-04-13
Directory sync
2026-05-15
@dstackai@dstackaidstack.aiDiscord

Overview

Control plane for agents and engineers to provision compute and run training and inference across NVIDIA, AMD, TPU, and Tenstorrent GPUs—on clouds, Kubernetes, and bare-metal clusters.

Quick start

git

git clone https://github.com/dstackai/dstack

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What dstack can do

llminferencefine-tun
  • Llm — llm task automation.
  • Inference — inference task automation.
  • Fine Tun — fine-tun task automation.

Frequently asked questions

What is dstack?
Control plane for agents and engineers to provision compute and run training and inference across NVIDIA, AMD, TPU, and Tenstorrent GPUs—on clouds, Kubernetes, and bare-metal clusters.
How do I install dstack?
Use git: `git clone https://github.com/dstackai/dstack`. Full setup details on the source page linked above.
Is dstack open source?
dstack is published on GitHub.
What are alternatives to dstack?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for dstack is sourced from GitHub, published by dstackai.

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