Intel Gaudi Base Operator is used to provision Intel Gaudi Accelerator with OpenShift. The steps and yaml files mentioned in this document to provision the Gaudi accelerator are based on Intel Gaudi Base Operator for OpenShift.
If you are familiar with the steps here to manually provision the accelerator, the Red Hat certified Operator and Ansible based One-Click solution can be used as a reference to provision the accelerator automatically.
- To Provision RHOCP cluster, follow steps here.
- To Install NFD Operator, follow steps here.
- To Install KMM Operator, follow steps here.
Note: This step will reboot the nodes, it is recommended to do this in the first step.
The default kernel firmware search path /lib/firmware
in RHCOS is not writable. Command below can be used to add path /var/lib/fimware
into the firmware search path list.
oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/gaudi/gaudi_firmware_path.yaml
NFD operator can be used to configure NFD to automatically detect the Gaudi accelerators and label the nodes for the following provisioning steps.
oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/gaudi/gaudi_nfd_instance_openshift.yaml
Verify NFD has labelled the node correctly:
oc get no -o json | jq '.items[].metadata.labels' | grep pci-1da3
"feature.node.kubernetes.io/pci-1da3.present": "true",
NFD detects underlying Gaudi Accelerator using its PCI device class and the vendor ID.
Follow the steps below to install Intel Gaudi Base Operator using OpenShift web console:
- In the OpenShift web console, navigate to Operator -> OperatorHub.
- Search for Intel Gaudi Base Operator in all items field -> Click Install.
- Go to Operator -> Installed Operators.
- Verify that the status of the operator is Succeeded.
oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/gaudi/gaudi_install_operator.yaml
Verify that the operator controller manager pod is up and running:
oc get pods -n habana-ai-operator
NAME READY STATUS RESTARTS AGE
controller-manager-6c8459d9cb-fqs8h 2/2 Running 0 25m
To create a Habana Gaudi device plugin CR, follow the steps below.
- Go to Operator -> Installed Operators.
- Open Intel Gaudi Base Operator.
- Navigate to tab Device Config.
- Click Create DeviceConfig -> set correct parameters -> Click Create. To set correct parameters please refer Using RedHat OpenShift Console.
- Verify CR by checking the status of Workloads -> DaemonSet -> habana-ai-module-device-plugin-xxxxx.
- Now
DeviceConfig
is created.
Apply the CR yaml file:
oc apply -f https://raw.githubusercontent.com/intel/intel-technology-enabling-for-openshift/main/gaudi/gaudi_device_config.yaml
You can use command below to verify that the DeviceConfig
CR has been created:
oc get pod -n habana-ai-operator
NAME READY STATUS RESTARTS AGE
controller-manager-6586758d54-qw644 2/2 Running 0 5d5h
habana-ai-habana-runtime-bqpvp 1/1 Running 0 5d6h
habana-ai-module-device-plugin-pljkf-kxgdj 1/1 Running 0 5d6h
habana-ai-node-metrics-rghlr 1/1 Running 0 5d6h
Alternatively, you can also check the status of the DeviceConfig
CR like below:
oc describe deviceconfig habana-ai -n habana-ai-operator
Name: habana-ai
Namespace: habana-ai-operator
.
.
Status:
Conditions:
Last Transition Time: 2024-07-24T14:05:11Z
Message: All resources have been successfully reconciled
Reason: Reconciled
Status: True
After the DeviceConfig
instance CR is created, it will take some time for the operator to download the Gaudi OOT driver source code and build it on-premise with the help of the KMM operator. The OOT driver module binaries will be loaded into the RHCOS kernel on each node with Gaudi cards labelled by NFD. Then, the Gaudi device plugin can advertise the Gaudi resources listed in the table for the pods on OpenShit to use. Run the command below to check the availability of Gaudi resources:
oc describe node | grep habana.ai/gaudi
habana.ai/gaudi: 8 -> Gaudi cards number on the cluster
habana.ai/gaudi: 8 -> Gaudi cards number allocatble on the cluster
habana.ai/gaudi 4 4 -> number of Gaudi cards allocated and number of Gardi cards available
To view the metrics on a node with Gaudi card, refer Collecting Metrics.
The resources provided are the user interface for customers to claim and consume the hardware features from the user pods. See below table for the details:
Feature | Resources | Description |
---|---|---|
Habana Gaudi | habana.ai/gaudi |
Number of Habana Gaudi Card resources ready to claim |