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articles/lab-services/how-to-setup-lab-gpu.md

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@@ -47,7 +47,7 @@ As shown in the preceding image, this option is enabled by default, which ensure
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- When you select a *visualization* GPU size, your lab VMs are powered by the [NVIDIA Tesla M60](https://images.nvidia.com/content/tesla/pdf/188417-Tesla-M60-DS-A4-fnl-Web.pdf) GPU and [GRID technology](https://www.nvidia.com/content/dam/en-zz/Solutions/design-visualization/solutions/resources/documents1/NVIDIA_GRID_vPC_Solution_Overview.pdf). In this case, recent GRID drivers are installed, which enables the use of graphics-intensive applications.
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> [!IMPORTANT]
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> The **Install GPU drivers** option installs the drivers when they aren't already present on the image that you select when creating the lab. For example, the GPU drivers are already installed on the Azure marketplace's [Data Science image](../machine-learning/data-science-virtual-machine/overview.md#whats-included-on-the-dsvm). If you create a lab using the Data Science image and choose to **Install GPU drivers**, the drivers won't be updated to a more recent version. To update the drivers, you will need to manually install them as explained in the next section.
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> The **Install GPU drivers** option installs the drivers when they aren't present on your lab's image. For example, the GPU drivers are already installed on the Azure marketplace's [Data Science image](../machine-learning/data-science-virtual-machine/overview.md#whats-included-on-the-dsvm). If you create a lab using the Data Science image and choose to **Install GPU drivers**, the drivers won't be updated to a more recent version. To update the drivers, you will need to manually install them as explained in the next section.
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### Install the drivers manually
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You might need to install a different version of the drivers than the version that Azure Lab Services installs for you. This section shows how to manually install the appropriate drivers, depending on whether you're using a *compute* GPU or a *visualization* GPU.

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