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AKS-Arc/deploy-gpu-node-pool-22h2.md

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title: Use GPUs for compute-intensive workloads
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title: Use GPUs for compute-intensive workloads in AKS on Windows Server
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description: Learn how to deploy GPU-enabled node pools in AKS on Windows Server.
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author: sethmanheim
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ms.topic: how-to
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# Keyword: Run GPU workloads on Kubernetes
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# Use GPUs for compute-intensive workloads
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# Use GPUs for compute-intensive workloads in AKS on Windows Server
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[!INCLUDE [aks-hybrid-applies-to-azure-stack-hci-windows-server-sku](includes/aks-hci-applies-to-skus/aks-hybrid-applies-to-azure-stack-hci-windows-server-sku.md)]
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AKS-Arc/deploy-gpu-node-pool.md

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[!INCLUDE [hci-applies-to-23h2](includes/hci-applies-to-23h2.md)]
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> [!NOTE]
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> For information about GPUs in AKS on Windows Server, see [Use GPUs for compute-intensive workloads](deploy-gpu-node-pool-22h2.md).
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> For information about GPUs in AKS on Windows Server, see [Use GPUs in AKS on Windows Server](deploy-gpu-node-pool-22h2.md).
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Graphical Processing Units (GPU) are used for compute-intensive workloads such as machine learning, deep learning, and more. This article describes how to use GPUs for compute-intensive workloads in AKS enabled by Azure Arc.
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