7badc1dad1
This commit adds nvidia gpu-operator helm charts use case for custom container runtime feature. To load nvidia-gpu-operator on starlingx: system service-parameter-add platform container_runtime \ custom_container_runtime=\ nvidia:/usr/local/nvidia/toolkit/nvidia-container-runtime And define runtimeClass for nvidia gpu pods: kind: RuntimeClass apiVersion: node.k8s.io/v1beta1 metadata: name: nvidia handler: nvidia The above will direct all containerd creations of pods with nvidia runtimeClass to nvidia-container-runtime -- where the nvidia-conta iner-runtime is installed by the operator onto a hostMount. Story: 2008434 Task: 41978 Signed-off-by: Babak Sarashki <babak.sarashki@windriver.com> Change-Id: Ifea8cdf6eb89a159f446c53566279e72fcf0e45e |
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| build_srpm.data | ||
| gpu-operator.spec | ||