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Update virtual-machines-n-series-windows-support.md
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includes/virtual-machines-n-series-windows-support.md

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> The Azure NVads A10 v5 VMs only support vGPU 14.1(510.73) or higher driver version. The vGPU driver for the A10 SKU is a unified driver that supports both graphics and compute workloads.
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NVIDIA Tesla (CUDA) drivers for NC, NCv2, NCv3, NCasT4_v3, ND, and NDv2-series VMs (optional for NV-series) are tested on the operating systems listed in the following table. CUDA driver is generic and not Azure specific. For the latest drivers, visit the [NVIDIA](https://www.nvidia.com/) website.
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NVIDIA Tesla (CUDA) drivers for all NC* and ND*-series VMs (optional for NV*-series) are generic and not Azure specific. For the latest drivers, visit the [NVIDIA](https://www.nvidia.com/) website.
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> [!TIP]
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> As an alternative to manual CUDA driver installation on a Windows Server VM, you can deploy an Azure [Data Science Virtual Machine](../articles/machine-learning/data-science-virtual-machine/overview.md) image. The DSVM editions for Windows Server 2016 pre-install NVIDIA CUDA drivers, the CUDA Deep Neural Network Library, and other tools.
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| OS | Driver |
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| -------- |------------- |
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| Windows Server 2019 | [451.82](https://us.download.nvidia.com/tesla/451.82/451.82-tesla-desktop-winserver-2019-2016-international.exe) (.exe) |
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| Windows Server 2016 | [451.82](https://us.download.nvidia.com/tesla/451.82/451.82-tesla-desktop-winserver-2019-2016-international.exe) (.exe) |
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### NVIDIA GRID drivers
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> [!Note]
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>For Azure NVads A10 v5 VMs we recommend customers to always be on the latest driver version. The latest NVIDIA major driver branch(n) is only backward compatbile with the previous major branch(n-1). For eg, vGPU 17.x is backward compatible with vGPU 16.x only. Any VMs still runnig n-2 or lower may see driver failures when the latest drive branch is rolled out to Azure hosts.

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