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Merge pull request #125638 from changeworld/patch-154
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articles/openshift/howto-gpu-workloads.md

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# Use GPU workloads with Azure Red Hat OpenShift
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This article shows you how to use Nvidia GPU workloads with Azure Red Hat OpenShift (ARO).
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This article shows you how to use NVIDIA GPU workloads with Azure Red Hat OpenShift (ARO).
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## Prerequisites
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If you need to install an ARO cluster, see [Tutorial: Create an Azure Red Hat OpenShift 4 cluster](create-cluster.md). ARO clusters must be version 4.10.x or higher.
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> [!NOTE]
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> As of ARO 4.10, it is no longer necessary to set up entitlements to use the Nvidia Operator. This has greatly simplified the setup of the cluster for GPU workloads.
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> As of ARO 4.10, it is no longer necessary to set up entitlements to use the NVIDIA Operator. This has greatly simplified the setup of the cluster for GPU workloads.
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Linux:
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You should see a node with the `nvidia-worker-southcentralus1` name that was created previously.
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## Install Nvidia GPU Operator
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## Install NVIDIA GPU Operator
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This section explains how to create the `nvidia-gpu-operator` namespace, set up the operator group, and install the Nvidia GPU operator.
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This section explains how to create the `nvidia-gpu-operator` namespace, set up the operator group, and install the NVIDIA GPU operator.
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1. Create Nvidia namespace.
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1. Create NVIDIA namespace.
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```yaml
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cat <<EOF | oc apply -f -
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EOF
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```
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1. Get the latest Nvidia channel using the following command:
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1. Get the latest NVIDIA channel using the following command:
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```bash
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CHANNEL=$(oc get packagemanifest gpu-operator-certified -n openshift-marketplace -o jsonpath='{.status.defaultChannel}')
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>
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> To add your Red Hat pull secret on an Azure Red Hat OpenShift cluster, [follow this guidance](howto-add-update-pull-secret.md).
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1. Get latest Nvidia package using the following command:
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1. Get latest NVIDIA package using the following command:
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```bash
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PACKAGE=$(oc get packagemanifests/gpu-operator-certified -n openshift-marketplace -ojson | jq -r '.status.channels[] | select(.name == "'$CHANNEL'") | .currentCSV')
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:::image type="content" source="media/howto-gpu-workloads/nfd-ready-for-use.png" alt-text="Screenshot of node feature discovery operator.":::
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#### Apply Nvidia Cluster Config
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#### Apply NVIDIA Cluster Config
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This section explains how to apply the Nvidia cluster config. Please read the [Nvidia documentation](https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/openshift/install-gpu-ocp.html) on customizing this if you have your own private repos or specific settings. This process may take several minutes to complete.
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This section explains how to apply the NVIDIA cluster config. Please read the [NVIDIA documentation](https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/openshift/install-gpu-ocp.html) on customizing this if you have your own private repos or specific settings. This process may take several minutes to complete.
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1. Apply cluster config.
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## Validate GPU
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It may take some time for the Nvidia Operator and NFD to completely install and self-identify the machines. Run the following commands to validate that everything is running as expected:
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It may take some time for the NVIDIA Operator and NFD to completely install and self-identify the machines. Run the following commands to validate that everything is running as expected:
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1. Verify that NFD can see your GPU(s).
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1. Verify node labels.
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You can see the node labels by logging into the OpenShift console -> Compute -> Nodes -> nvidia-worker-southcentralus1-. You should see multiple Nvidia GPU labels and the pci-10de device from above.
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You can see the node labels by logging into the OpenShift console -> Compute -> Nodes -> nvidia-worker-southcentralus1-. You should see multiple NVIDIA GPU labels and the pci-10de device from above.
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:::image type="content" source="media/howto-gpu-workloads/node-labels.png" alt-text="Screenshot of GPU labels on OpenShift console.":::
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1. Nvidia SMI tool verification.
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1. NVIDIA SMI tool verification.
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```bash
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oc project nvidia-gpu-operator

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