feat: deploy nri-device-injector and rtx vgpu CCCs#439
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- Update set_environment_variables.sh scripts to use SCRIPT_SOURCE with fallback to $0 for compatibility with Zsh and other shells. - Replace Bash-specific lowercase conversion with portable 'tr'. - Rename NVIDIA initialization to NVIDIA NGC initialization in docs. - Document missing cpu-e2-s-16 in platform resources.
- Add k6-benchmark container image with Dockerfile and entrypoint - Include metrics extraction utility and dependencies for k6 - Add Google Cloud Build trigger for k6-benchmark image - Update .gitignore to ignore k6 generated report files
Add a n4-8 custom ComputeClass running n4-standard-8 nodes. Differently from the existing n4-s-8 custom ComputeClass, n4-8 doesn't fall back to spot capacity, making it useful for workloads that don't tolerate disruptions caused by Spot VM node pre-emption.
nri-device-injector is a DaemonSet that dynamically configures GPUs in multi-instance GPU mode by attaching virtual GPUs to Pods requesting it. It has an affinity rule configured to only deploy on nodes that provide GPUs that need it: - nvidia-h100-80gb - nvidia-h100-mega-80gb - nvidia-rtx-pro-6000
ferrarimarco
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alizaidis,
fernandorubbo,
laurentgrangeau and
prev-dev
fernandorubbo
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May 22, 2026
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You can skip reviewing the RTX CCCs because they were already reviewed in #440 |
laurentgrangeau
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May 22, 2026
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Build failures are unrelated to this change. |
ferrarimarco
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Duplicate of #449 |
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Configure fractional NVIDIA RTX 6000 Pro custom ComputeClasses.
nri-device-injector is a DaemonSet that dynamically configures GPUs in multi-instance GPU mode by attaching virtual GPUs to Pods requesting it. It has an affinity rule configured to only deploy on nodes that provide GPUs that need it: