charts/charts/intel-gpu-plugin/README.md
2021-02-23 16:00:03 -05:00

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# intel-gpu-plugin helm chart
This is a helm chart that will deploy [intel-gpu-plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/master/cmd/gpu_plugin) as a DaemonSet.
The GPU plugin facilitates offloading the processing of computation intensive workloads to GPU hardware.
## TL;DR
```shell
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`:
```shell
helm install my-release k8s-at-home/intel-gpu-plugin
```
## Uninstalling the Chart
To uninstall/delete the `my-release` deployment:
```shell
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](https://github.com/k8s-at-home/charts/blob/master/charts/intel-gpu-plugin/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](https://hub.docker.com/r/intel/intel-gpu-plugin/tags). | `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,
```shell
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,
```shell
helm install my-release -f values.yaml k8s-at-home/intel-gpu-plugin
```
### Node Feature Discovery
If your cluster runs [Node Feature Discovery](https://github.com/k8s-at-home/charts/blob/master/charts/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):
```yaml
affinity:
nodeAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
nodeSelectorTerms:
- matchExpressions:
- key: feature.node.kubernetes.io/pci-0300_8086.present
operator: In
values:
- "true"
```