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Copy file name to clipboardExpand all lines: AKS-Arc/deploy-gpu-node-pool.md
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@@ -3,10 +3,10 @@ title: Use GPUs for compute-intensive workloads (AKS on Azure Local, version 23H
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description: Learn how to deploy GPU-enabled node pools in AKS enabled by Arc.
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author: sethmanheim
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ms.topic: how-to
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ms.date: 02/29/2024
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ms.date: 03/21/2025
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ms.author: sethm
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ms.lastreviewed: 06/05/2024
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ms.reviewer: baziwane
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ms.lastreviewed: 03/21/2025
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ms.reviewer: abha
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# Intent: As an IT Pro, I want to learn how to deploy GPU-enabled node pools
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# Keyword: Run GPU workloads on Kubernetes
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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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## Supported GPU models
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The following GPU models are supported by AKS on Azure Local, version 23H2:
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| Manufacturer | GPU model | Supported version |
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|--------------|-----------|-------------------|
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| NVidia | A2 | 2311.2 |
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| NVidia | A16 | 2402.0 |
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| NVidia | T4 | 2408.0 |
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## Supported VM sizes
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The following VM sizes for each GPU models are supported by AKS on Azure Local, version 23H2.
To use GPUs in AKS Arc, make sure you installed the necessary GPU drivers before you begin the deployment of the cluster. Follow the steps in this section.
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