Create a Content Library with Deep Learning VM Images for VMware Private AI Foundation with NVIDIA

Deep learning VM images in VMware Private AI Foundation with NVIDIA are distributed in a shared content library published by VMware. As a cloud administrator, you use a content library to pull specific VM images in your VI workload domain during VM deployment.

If you plan to deploy deep learning VMs directly on a vSphere cluster, you can also create a content library from the Content Libraries page in the vSphere Client side panel.

Note: This documentation is based on VMware Cloud Foundation 5.2.1. For information on the VMware Private AI Foundation with NVIDIA functionality in VMware Cloud Foundation 5.2, see VMware Private AI Foundation with NVIDIA Guide for VMware Cloud Foundation 5.2.

Prerequisites

• Verify that VMware Private AI Foundation with NVIDIA is configured up to this step of the deployment workflow. See Preparing VMware Cloud Foundation for Private AI Workload Deployment.

Procedure

1. Log in to the vCenter Server instance for the management domain at https://<vcenter_server_fqdn>/ui as [email protected].
2. From the vSphere Client side panel, select Private AI Foundation.
3. In the Private AI Foundation workflow, click the Set up Workload Management section.
4. Create a content library for the deep learning VM images on the vCenter Server instance for the GPU-accelerated VI workload domain.
   • For a connected environment, create a subscribed content library that is connected to https://packages.vmware.com/dl-vm/lib.json. Authentication is not required.
   • For a disconnected environment, download the deep learning VM images from https://packages.vmware.com/dl-vm/ and import them in to a local content library.

     For each image, download the relevant .ovf, .vmdk, .mf, and .cert files.