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A4X JBVM#4950

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LAVEEN merged 7 commits intoGoogleCloudPlatform:developfrom
LAVEEN:a4xjbvm
Feb 9, 2026
Merged

A4X JBVM#4950
LAVEEN merged 7 commits intoGoogleCloudPlatform:developfrom
LAVEEN:a4xjbvm

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@LAVEEN LAVEEN commented Dec 8, 2025

Onboarding A4X JBVM

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  • Test all changes with pre-commit in a local branch #
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@LAVEEN LAVEEN requested review from a team and samskillman as code owners December 8, 2025 04:03
@LAVEEN LAVEEN changed the title A4 JBVM A4X JBVM Dec 8, 2025
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Summary of Changes

Hello @LAVEEN, 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, comprehensive blueprint for deploying A4X JBVM instances tailored for high-performance machine learning environments on Google Cloud. It automates the provisioning of GPU-accelerated virtual machines, setting up the necessary networking infrastructure, and installing all required software components such as NVIDIA drivers, CUDA, OpenMPI, and NCCL libraries, including the Google NCCL-GIB plugin. The goal is to provide a streamlined and ready-to-use environment for demanding computational tasks.

Highlights

  • New Blueprint Introduction: A new blueprint for 'a4x-jbvm' has been added, designed for deploying A4X JBVM instances with specific configurations for machine learning workloads.
  • GPU-Accelerated VM Setup: The blueprint configures two 'a4x-highgpu-4g' virtual machines, including specialized networking (VPC and GPU RDMA VPC) and a shared high-scale SSD Filestore for the '/home' directory.
  • Automated Software Installation: A comprehensive startup script automates the installation of critical software components, including NVIDIA drivers, CUDA Toolkit 13, NVIDIA Container Toolkit, Data Center GPU Manager (DCGM), ibverbs-utils, OpenMPI 5.0.8 (compiled with CUDA support), NCCL libraries, and the Google NCCL-GIB plugin.
  • Network Configuration: The deployment includes two standard VPC networks and a GPU RDMA VPC network, all configured with GVNIC for high-performance communication, essential for distributed GPU workloads.
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Code Review

This pull request introduces a new example blueprint for deploying an A4X Just-a-Bunch-of-VMs (JBVM) setup. My review has identified several issues, including critical problems with correctness and documentation that will prevent the blueprint from deploying successfully and also violate repository guidelines. Specifically, there's an incorrect variable reference for the instance image. Furthermore, as per the repository's style guide (rule 33), it is critical to update examples/README.md with any new examples, which has not been done in this PR. I've also flagged a high-severity security issue due to an overly permissive SSH firewall rule. Other comments focus on improving the robustness and maintainability of the embedded startup scripts.

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Please fix the Github action checks

@LAVEEN LAVEEN marked this pull request as draft December 8, 2025 13:18
@LAVEEN LAVEEN changed the title A4X JBVM A4X JBVM (Do not review) Dec 9, 2025
@LAVEEN LAVEEN force-pushed the a4xjbvm branch 4 times, most recently from 9c3f4c4 to 041d252 Compare December 14, 2025 14:23
@LAVEEN LAVEEN changed the title A4X JBVM (Do not review) A4X JBVM Dec 14, 2025
@LAVEEN LAVEEN requested a review from sarthakag December 14, 2025 14:40
@LAVEEN LAVEEN added the release-key-new-features Added to release notes under the "Key New Features" heading. label Dec 14, 2025
@LAVEEN LAVEEN marked this pull request as ready for review January 20, 2026 05:21
@LAVEEN LAVEEN merged commit abbbbf7 into GoogleCloudPlatform:develop Feb 9, 2026
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3 participants