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Update gib plugin max unavailable and version changes
@parulbajaj01 parulbajaj01 requested review from a team and samskillman as code owners November 13, 2025 11:29
@parulbajaj01 parulbajaj01 added the release-improvements Added to release notes under the "Improvements" heading. label Nov 13, 2025
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Summary of Changes

Hello @parulbajaj01, 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 refactors the NCCL gIB plugin installation process within the GKE A4x environment to be more configurable and adaptable. By converting the installer into a templated format and introducing new parameters, it allows for greater control over deployment specifics, such as rolling update behavior and node targeting, and explicitly supports different CPU architectures like ARM64. This change aims to improve the maintainability and versatility of the plugin's deployment.

Highlights

  • NCCL gIB Plugin Parameterization: The NCCL gIB plugin installer has been significantly parameterized, allowing for dynamic configuration of deployment settings such as maxUnavailable for rolling updates and node affinity rules.
  • Architecture-Specific Configuration: Introduced a target_architecture variable to support different gIB plugin versions for x86 and ARM64 architectures, enhancing flexibility for diverse hardware environments.
  • Installer File Renaming and Templating: The nccl-rdma-installer.yaml file has been renamed to nccl-installer.yaml.tftpl and converted into a Terraform template, enabling variable substitution for image, version, and node affinity.
  • Updated GKE A4x Configuration: The gke-a4x.yaml configuration now leverages the new templated installer, passing specific parameters for the gIB plugin, including the ARM64 target architecture, image details, and accelerator count.
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Code Review

This pull request effectively parameterizes the gIB NCCL plugin installer, transitioning from a static YAML file to a more flexible and reusable Terraform template. The changes introduce a dedicated gib configuration block within the kubectl-apply module, allowing for architecture-specific settings, as demonstrated in the gke-a4x example for arm64. My review includes a critical fix for an HCL syntax error in the new variable definition and a suggestion to further improve the module's design by reducing configuration redundancy.

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