https://github.com/dstackai/dstack

dstack is an open-source alternative to Kubernetes and Slurm, designed to simplify GPU allocation and AI workload orchestration for ML teams across top clouds, on-prem clusters, and accelerators.

amd aws azure cloud docker fine-tuning gcp gpu inference k8s kubernetes llms machine-learning nvidia orchestration python slurm training

Last synced: 21 Jan 2026

https://github.com/dstackai/gpuhunt

GPU prices aggregator for cloud providers

Last synced: 13 May 2025

https://github.com/dstackai/llm-weaver

This Streamlit app helps deploy LLMs to your cloud (AWS, GCP, Azure, Lambda Cloud) via user interface and access them for inference.

Last synced: 13 May 2025

https://github.com/dstackai/benchmarks

Last synced: 13 May 2025

https://github.com/dstackai/dstack-enterprise

dstack Enterprise extends the open-source version of dstack with enterprise features.

Last synced: 08 Jan 2026

https://github.com/dstackai/gpuhunt-demo

Last synced: 13 May 2025

https://github.com/dstackai/langchain-meetup

Last synced: 13 May 2025

https://github.com/dstackai/static-assets

Last synced: 24 Jan 2026

https://github.com/dstackai/homebrew-dstack

Last synced: 13 May 2025

https://github.com/dstackai/dstack-tests-public

Last synced: 25 Sep 2025

https://github.com/dstackai/dstackai.github.io

Last synced: 20 Jan 2026

https://github.com/dstackai/ansistrip

Last synced: 02 Jul 2025

https://github.com/dstackai/tt-smi-docker

Last synced: 23 Oct 2025

https://github.com/dstackai/dstack-docs

Last synced: 13 May 2025