charts/charts/intel-gpu-plugin
2020-10-02 08:39:38 -04:00
..
templates [intel-gpu-plugin] New chart (#76) 2020-10-02 08:39:38 -04:00
.helmignore [intel-gpu-plugin] New chart (#76) 2020-10-02 08:39:38 -04:00
Chart.yaml [intel-gpu-plugin] New chart (#76) 2020-10-02 08:39:38 -04:00
README.md [intel-gpu-plugin] New chart (#76) 2020-10-02 08:39:38 -04:00
values.yaml [intel-gpu-plugin] New chart (#76) 2020-10-02 08:39:38 -04:00

intel-gpu-plugin helm chart

This is a helm chart that will deploy intel-gpu-plugin as a DaemonSet.

The GPU plugin facilitates offloading the processing of computation intensive workloads to GPU hardware.

TL;DR

helm repo add k8s-at-home https://k8s-at-home.com/charts/
helm install k8s-at-home/intel-gpu-plugin

Installing the Chart

To install the chart with the release name my-release:

helm install my-release k8s-at-home/intel-gpu-plugin

Uninstalling the Chart

To uninstall/delete the my-release deployment:

helm delete my-release --purge

The command removes all the Kubernetes components associated with the chart and deletes the release.

Configuration

The following tables lists the configurable parameters of the Sentry chart and their default values. Read through the values.yaml file. It has several commented out suggested values.

Parameter Description Default
image.repository Image repository intel/intel-gpu-plugin
image.tag Image tag. Possible values listed here. 0.18.1
image.pullPolicy Image pull policy IfNotPresent
strategyType Specifies the strategy used to replace old Pods by new ones Recreate
podAnnotations Key-value pairs to add as pod annotations {}

Specify each parameter using the --set key=value[,key=value] argument to helm install. For example,

helm install my-release \
  --set image.pullPolicy="Always" \
    k8s-at-home/intel-gpu-plugin

Alternatively, a YAML file that specifies the values for the above parameters can be provided while installing the chart. For example,

helm install my-release -f values.yaml k8s-at-home/intel-gpu-plugin

Node Feature Discovery

If your cluster runs Node Feature Discovery, you can deploy the device plugin only on nodes with Intel GPU by specifying the desired nodeSelector or affinity in your values. For example (make sure to update to your exact feature label):

affinity:
  nodeAffinity:
    requiredDuringSchedulingIgnoredDuringExecution:
      nodeSelectorTerms:
        - matchExpressions:
            - key: feature.node.kubernetes.io/pci-0300_8086.present
              operator: In
              values:
                - "true"