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Merge pull request #274284 from schaffererin/bug248106
Added limitation for cluster autoscaler with MIG nps
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articles/aks/gpu-multi-instance.md

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@@ -13,12 +13,13 @@ Nvidia's A100 GPU can be divided in up to seven independent instances. Each inst
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This article walks you through how to create a multi-instance GPU node pool in an Azure Kubernetes Service (AKS) cluster.
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## Prerequisites
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## Prerequisites and limitations
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* An Azure account with an active subscription. If you don't have one, you can [create an account for free](https://azure.microsoft.com/free/?WT.mc_id=A261C142F).
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* Azure CLI version 2.2.0 or later installed and configured. Run `az --version` to find the version. If you need to install or upgrade, see [Install Azure CLI][install-azure-cli].
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* The Kubernetes command-line client, [kubectl](https://kubernetes.io/docs/reference/kubectl/), installed and configured. If you use Azure Cloud Shell, `kubectl` is already installed. If you want to install it locally, you can use the [`az aks install-cli`][az-aks-install-cli] command.
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* Helm v3 installed and configured. For more information, see [Installing Helm](https://helm.sh/docs/intro/install/).
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* You can't use Cluster Autoscaler with multi-instance node pools.
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## GPU instance profiles
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