Fix G4#5330
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Summary of ChangesHello, 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 updates the ml-slurm-g4.yaml example to enhance its stability and flexibility. It incorporates newer versions of Slurm and NVIDIA/CUDA, transitions to Ubuntu accelerator images, and promotes user-defined configurations through the use of placeholders. Highlights
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Code Review
This pull request updates the ml-slurm-g4.yaml example configuration. It modifies several deployment variables, replacing default values with placeholders and upgrading the default g4_machine_type to g4-standard-192. The source_image_family and source_image_project are updated to use an NVIDIA accelerator-specific Ubuntu 22.04 image, and the build_slurm_from_git_ref is updated to 6.10.10. Furthermore, the NVIDIA package list is revised to upgrade the CUDA toolkit to version 12.9, removing older driver and CUDA 12.8 components. The installation process is simplified by removing a task to address conflicting NVIDIA firmware and the force-overwrite option during package installation, indicating improved compatibility. A minor formatting change also adds a newline at the end of the file.
This PR updates the ml-slurm-g4.yaml example to use more recent, stable versions of Slurm and NVIDIA/CUDA components, and shifts towards using ubuntu accelerator images. It also converts several environment-specific variables into placeholders to encourage user configuration during deployment.
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