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
9 lines
163 B
Plaintext
9 lines
163 B
Plaintext
VERSION=1.6.0
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TAR_NAME=gpu-operator
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TAR="$TAR_NAME-$VERSION.tar.gz"
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COPY_LIST=" \
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$PKG_BASE/files/* \
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$STX_BASE/downloads/$TAR"
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TIS_PATCH_VER=PKG_GITREVCOUNT
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