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Summary of ChangesHello @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
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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.
sarthakag
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Onboarding A4X JBVM
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