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AKS-Arc/deploy-ai-model.md

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title: Deploy an AI model on AKS Arc with the Kubernetes AI toolchain operator
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title: Deploy an AI model on AKS Arc with the Kubernetes AI toolchain operator (preview)
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description: Learn how to deploy an AI model on AKS Arc with the Kubernetes AI toolchain operator (KAITO).
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author: sethmanheim
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ms.author: sethm
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# Deploy an AI model on AKS Arc with the Kubernetes AI toolchain operator
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# Deploy an AI model on AKS Arc with the Kubernetes AI toolchain operator (preview)
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[!INCLUDE [hci-applies-to-23h2](includes/hci-applies-to-23h2.md)]
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To create a GPU node pool using Azure CLI, run the following command.
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To create a GPU node pool using Azure CLI, run the following command. The GPU VM SKU used in the following example is for the **A16** model; for the full list of VM SKUs, see [Supported VM sizes](deploy-gpu-node-pool.md#supported-gpu-vm-sizes).
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```azurecli
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az aksarc nodepool add --resource-group <Resource_Group_name> --cluster-name <Cluster_Name> --name <Node_Pool_Name> --node-vm-size <GPU_VM_SKU> --node-count 1
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az aksarc nodepool add --name "samplenodepool" --cluster-name "samplecluster" --resource-group "sample-rg" --node-vm-size "Standard_NC16_A16" --os-type "Linux"
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```
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To create a GPU node pool using Azure CLI, run the following command. The GPU VM SKU used in the following example is for the **A16** model; for the full list of VM SKUs, see [Supported VM sizes](deploy-gpu-node-pool.md#supported-gpu-vm-sizes).
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