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11 changes: 11 additions & 0 deletions gpu-operator/install-gpu-operator-vgpu.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -38,6 +38,15 @@ Also replace ``kubectl`` in the following commands with ``oc`` when running on R

NVIDIA vGPU is only supported with the NVIDIA License System.

The procedure on this page builds a driver container image from the vGPU guest driver that you download from the NVIDIA Licensing Portal.
The procedure is for NVIDIA vGPU customers who do not have an NVIDIA AI Enterprise entitlement.

.. note::

If you have an NVIDIA AI Enterprise entitlement, you do not need to build a driver container image.
A prebuilt vGPU guest driver image is available from NVIDIA NGC.
Refer to the `NVIDIA AI Enterprise documentation <https://docs.nvidia.com/ai-enterprise/>`_ for the image and the installation procedure.

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Platform Support
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Expand All @@ -64,6 +73,8 @@ Before installing the GPU Operator on NVIDIA vGPU, ensure the following:

For vGPU 18.0 and later, ensure that you use DLS 3.4 or later.

* You do not have an NVIDIA AI Enterprise entitlement.
NVIDIA AI Enterprise customers use the prebuilt vGPU guest driver image from NVIDIA NGC instead of building an image.
* You have access to a private registry such as NVIDIA NGC Private Registry and can push container images to the registry.
* Git and Docker are required to build the vGPU driver image from source repository and push to the private registry.
* Each Kubernetes worker node in the cluster has access to the private registry.
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