Dynamic plugin for the OpenShift console which adds GPU capabilities.
NVIDIA GPU plugin | OCP Console |
---|---|
latest | 4.12+ |
release-0.2.4 | 4.11 |
release-0.0.1 | 4.10 |
# add Helm repo
$ helm repo add rh-ecosystem-edge https://rh-ecosystem-edge.github.io/console-plugin-nvidia-gpu
$ helm repo update
# install the Helm chart in the default NVIDIA GPU operator namespace
$ helm install -n nvidia-gpu-operator console-plugin-nvidia-gpu rh-ecosystem-edge/console-plugin-nvidia-gpu
# view deployed resources
$ oc -n nvidia-gpu-operator get all -l app.kubernetes.io/name=console-plugin-nvidia-gpu
# check if a plugins field is specified
$ oc get consoles.operator.openshift.io cluster --output=jsonpath="{.spec.plugins}"
# if not, then run the following to enable the plugin
$ oc patch consoles.operator.openshift.io cluster --patch '{ "spec": { "plugins": ["console-plugin-nvidia-gpu"] } }' --type=merge
# if yes, then run the following to enable the plugin
$ oc patch consoles.operator.openshift.io cluster --patch '[{"op": "add", "path": "/spec/plugins/-", "value": "console-plugin-nvidia-gpu" }]' --type=json
# add the required DCGM Exporter metrics ConfigMap to the existing NVIDIA operator ClusterPolicy CR
$ oc patch clusterpolicies.nvidia.com gpu-cluster-policy --patch '{ "spec": { "dcgmExporter": { "config": { "name": "console-plugin-nvidia-gpu" } } } }' --type=merge
OpenShift Console NVIDIA GPU Plugin works as a remote bundle for OCP console. To run OpenShift Console NVIDIA GPU Plugin there should be a instance of the OCP console up and running. Follow these steps to run the OCP Console in development mode:
- Follow everything as mentioned in the console README.md to build the application.
- Run the console bridge as follows
./bin/bridge -plugins console-plugin-nvidia-gpu=http://127.0.0.1:9001/
- Run developemnt mode of console by going into
console/frontend
and runningyarn run dev
After the OCP console is set as required by the ODF Console. Perform the following steps to make it run:
- Install & setup the NVIDIA GPU Operator
- Clone this repo
- Pull all required dependencies by running
yarn install
- Run the development mode by running
yarn start