dstack

aws machine-learning docker containers

dstack is an open-source control plane for running development, training, and inference jobs on GPUs—across hyperscalers, neoclouds, or on-prem.

How to download and setup dstack

Open terminal and run command

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

git clone is used to create a copy or clone of dstack repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with dstack https://github.com/dstackai/dstack/archive/master.zip

Or simply clone dstack with SSH

[email protected]:dstackai/dstack.git

If you have some problems with dstack

You may open issue on dstack support forum (system) here: https://github.com/dstackai/dstack/issues

Similar to dstack repositories

Here you may see dstack alternatives and analogs

tensorflow keras scikit-learn TensorFlow-Examples pytorch face_recognition CNTK compose data-science-ipython-notebooks moby kubernetes gogs traefik harness Qix minikube awesome-cheatsheets saws handong1587.github.io telegram-list aws-doc-sdk-examples awesome-docker netdata generator-jhipster mlcourse.ai stats phobos docker.kitematic Winds machine-learning-curriculum