Skip to content

researchapps/azhpc-images

 
 

Repository files navigation

Build Status

OS Version Status Badge
Ubuntu 20.04 Build Status
Ubuntu 22.04 Build Status
AlmaLinux 8.7 Build Status

Azure HPC/AI VM Images

This repository houses a collection of scripts meticulously crafted for installing High-Performance Computing (HPC) and Artificial Intelligence (AI) libraries, along with tools essential for building Azure HPC/AI images. Whether you're provisioning compute-intensive workloads or crafting advanced AI models in the cloud, these scripts streamline the process, ensuring efficiency and reliability in your deployments.

Following are the current supported HPC/AI VM images that are available in Azure Marketplace:

  • Ubuntu-HPC 22.04 (microsoft-dsvm:ubuntu-hpc:2204:latest)
  • Ubuntu-HPC 20.04 (microsoft-dsvm:ubuntu-hpc:2004:latest)
  • AlmaLinux-HPC 8.7 (almalinux:almalinux-hpc:8_7-hpc-gen2:latest)

How to Use

The high level steps to create your own HPC images using our repository are:

  1. Deploy a VM (tutorial).
  2. Run install.sh (pick the corresponding install.sh in our repository for your OS, e.g., Ubuntu 22.04).
  3. Generate an image from the VM (tutorial).

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

About

Azure HPC/AI VM Images

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Shell 91.8%
  • Cuda 4.5%
  • Python 3.7%