Skip to content

Add Fractional G4 Slurm Blueprint#5535

Merged
LAVEEN merged 7 commits into
GoogleCloudPlatform:developfrom
LAVEEN:addfractionalgpu
Apr 20, 2026
Merged

Add Fractional G4 Slurm Blueprint#5535
LAVEEN merged 7 commits into
GoogleCloudPlatform:developfrom
LAVEEN:addfractionalgpu

Conversation

@LAVEEN

@LAVEEN LAVEEN commented Apr 20, 2026

Copy link
Copy Markdown
Collaborator

This PR adds a fractional G4 Slurm support

Submission Checklist

NOTE: Community submissions can take up to 2 weeks to be reviewed.

Please take the following actions before submitting this pull request.

  • Fork your PR branch from the Toolkit "develop" branch (not main)
  • Test all changes with pre-commit in a local branch #
  • Confirm that "make tests" passes all tests
  • Add or modify unit tests to cover code changes
  • Ensure that unit test coverage remains above 80%
  • Update all applicable documentation
  • Follow Cluster Toolkit Contribution guidelines #

@LAVEEN LAVEEN added the release-improvements Added to release notes under the "Improvements" heading. label Apr 20, 2026
@gemini-code-assist

gemini-code-assist Bot commented Apr 20, 2026

Copy link
Copy Markdown
Contributor

Summary of Changes

Hello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a new configuration blueprint for the Cluster Toolkit to support Slurm clusters utilizing fractional G4 vGPU instances. The changes provide the necessary infrastructure definitions and automation scripts to build custom images and configure compute nodes with the required NVIDIA drivers and management services, enabling efficient GPU resource utilization in a Slurm environment.

Highlights

  • New Blueprint Added: Introduced a new blueprint for deploying Slurm clusters with fractional G4 vGPU support.
  • Automated Driver Installation: Added startup scripts to automate the installation of NVIDIA vGPU drivers and the Data Center GPU Manager (DCGM) on compute nodes.
  • Service Configuration: Included Ansible tasks to configure and enable the NVIDIA persistence daemon and DCGM service.
Using Gemini Code Assist

The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

Invoking Gemini

You can request assistance from Gemini at any point by creating a comment using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands on the current page.

Feature Command Description
Code Review /gemini review Performs a code review for the current pull request in its current state.
Pull Request Summary /gemini summary Provides a summary of the current pull request in its current state.
Comment @gemini-code-assist Responds in comments when explicitly tagged, both in pull request comments and review comments.
Help /gemini help Displays a list of available commands.

Customization

To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.

Limitations & Feedback

Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for GitHub and other Google products, sign up here.

Footnotes

  1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution. ↩

gemini-code-assist[bot]
gemini-code-assist Bot reviewed Apr 20, 2026
View reviewed changes

@gemini-code-assist gemini-code-assist Bot left a comment

Copy link
Copy Markdown
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Code Review

This pull request introduces a new blueprint for a Slurm cluster utilizing NVIDIA G4 vGPUs. The feedback focuses on adhering to the repository's documentation standards by updating the examples index, improving security by avoiding predictable temporary file paths, and enhancing maintainability by extracting inline scripts into separate files. Additionally, it is recommended to use a stable version of CMake for better environment reliability.

Comment thread examples/ml-slurm-g4-vgpu.yaml
Comment thread examples/ml-slurm-g4-vgpu.yaml Outdated
Comment thread examples/ml-slurm-g4-vgpu.yaml
Comment thread examples/ml-slurm-g4-vgpu.yaml Outdated
Comment thread examples/ml-slurm-g4-vgpu.yaml
@LAVEEN LAVEEN marked this pull request as ready for review April 20, 2026 16:03
@LAVEEN LAVEEN requested a review from a team as a code owner April 20, 2026 16:03
@LAVEEN LAVEEN changed the title Add Fractional G4 Blueprint Add Fractional G4 Slurm Blueprint Apr 20, 2026
@LAVEEN LAVEEN merged commit 8757591 into GoogleCloudPlatform:develop Apr 20, 2026
19 of 86 checks passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Reviewers

@AdarshK15 AdarshK15 AdarshK15 approved these changes

@kvenkatachala333 kvenkatachala333 kvenkatachala333 approved these changes

+1 more reviewer

@gemini-code-assist gemini-code-assist[bot] gemini-code-assist[bot] left review comments

Reviewers whose approvals may not affect merge requirements

Assignees

No one assigned

Labels

release-improvements Added to release notes under the "Improvements" heading.

Projects

None yet

Milestone

No milestone

Development

Successfully merging this pull request may close these issues.

3 participants

@LAVEEN @AdarshK15 @kvenkatachala333