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

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@@ -107,7 +107,7 @@ This section describes how to validate that your GPU drivers are properly instal
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> [!IMPORTANT]
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> The NVIDIA Control Panel settings can be accessed only for *visualization* GPUs. If you attempt to open the NVIDIA Control Panel for a compute GPU, you'll get the following error: "NVIDIA Display settings are not available. You are not currently using a display attached to an NVIDIA GPU." Similarly, the GPU performance information in Task Manager is provided only for visualization GPUs.
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Depending on your scenario, you may also need to do additional validation to ensure the GPU is properly configured. For example, for Data Science frameworks and libraries, there may be a specific version of the the drivers that is needed. Read the class type about [Python and Jupyter Notebooks](./class-type-jupyter-notebook.md#template-virtual-machine) that explains this further.
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Depending on your scenario, you may also need to do additional validation to ensure the GPU is properly configured. Read the class type about [Python and Jupyter Notebooks](./class-type-jupyter-notebook.md#template-virtual-machine) that explains an example where specific versions of drivers are needed.
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#### Linux images
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Follow the instructions in the "Verify driver installation" section of [Install NVIDIA GPU drivers on N-series VMs running Linux](../virtual-machines/linux/n-series-driver-setup.md#verify-driver-installation).

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