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AKS-Arc/deploy-ai-model.md

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@@ -71,7 +71,7 @@ az aksarc update --resource-group <Resource_Group_name> --name <Cluster_Name> --
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1. After the node pool is provisioned, you can confirm whether the node is successfully provisioned using the node pool name.
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2. After the node pool is provisioned, you can confirm whether the node is successfully provisioned using the node pool name.
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```azurecli
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kubectl get nodes --show-labels | grep "msft.microsoft/nodepool-name=.*<Node_Pool_Name>" | awk '{print $1}'
@@ -83,7 +83,7 @@ az aksarc update --resource-group <Resource_Group_name> --name <Cluster_Name> --
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kubectl get nodes --show-labels | Select-String "msft.microsoft/nodepool-name=.*<Node_Pool_Name>" | ForEach-Object { ($_ -split '\s+')[0] }
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```
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1. Label the newly provisioned GPU node so the inference workspace can be deployed to the node in the next step. You can make sure the label is applied using `kubectl get nodes`.
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3. Label the newly provisioned GPU node so the inference workspace can be deployed to the node in the next step. You can make sure the label is applied using `kubectl get nodes`.
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```azurecli
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kubectl label node moc-l36c6vu97d5 apps=llm-inference

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