GPU Device Plugin Configuration¶
Intel GPU plugin enables Kubernetes clusters to utilize Intel GPUs for hardware acceleration of various workloads.
This section describes how to enable and use the Intel GPU device plugin in StarlingX.
Prerequisites
The host should have Intel GPU hardware. For supported GPU devices, refer to Intel GPU plugin documentation for more details: Intel GPU device plugin for Kubernetes.
Node Feature Discovery application must be installed using the following commands:
~(keystone_admin)]$ system application-upload /usr/local/share/applications/helm/node-feature-discovery-<version>.tgz ~(keystone_admin)]$ system application-apply node-feature-discovery
Replace
<version>
with the latest version number.
Enable Intel GPU Device Plugin¶
Locate the application tarball in the
/usr/local/share/applications/helm
directory. For example:/usr/local/share/applications/helm/intel-device-plugins-operator-<version>.tgz
Upload the application using the following command.
~(keystone_admin)]$ system application-upload intel-device-plugins-operator-<version>.tgz
Replace
<version>
with the latest version number.Verify that the application has been uploaded successfully.
~(keystone_admin)]$ system application-list
Check the helm chart status using the following command:
~(keystone_admin)]$ system helm-override-list intel-device-plugins-operator --long
Enable GPU Helm chart using the following command:
~(keystone_admin)]$ system helm-chart-attribute-modify --enabled true intel-device-plugins-operator intel-device-plugins-gpu intel-device-plugins-operator
Apply the application using the following command:
~(keystone_admin)]$ system application-apply intel-device-plugins-operator
Monitor the status of the application using one of the following commands.
~(keystone_admin)]$ watch -n 5 system application-list
OR
~(keystone_admin)]$ watch kubectl get pods -n intel-device-plugins-operator
Pods can be checked using the following command:
$ kubectl get pods -n intel-device-plugins-operator
Use Intel GPU Device Plugin¶
For information related to using GPU device plugin, see Testing and Demos.