feat: deploy nri-device-injector and rtx cccs#449
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fernandorubbo
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My only concern is that the daemonset deploys on the following hardware
- key: cloud.google.com/gke-accelerator
operator: In
values:
- nvidia-rtx-pro-6000
- nvidia-h100-80gb
- nvidia-h100-mega-80gb
That means, it will install in all A3 and all G4 in the cluster. Even those that do not have vGPU
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Correct, although it's a no-op on nodes that don't have a vGPU. |
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: - nvidia-h100-80gb - nvidia-h100-mega-80gb - nvidia-rtx-pro-6000 feat: deploy nvidia rtx pro 6000 cccs (#440)
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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:
feat: deploy nvidia rtx pro 6000 cccs (#440)