Deploying a Deep Learning VM in VMware Private AI Foundation with NVIDIA

VMware Private AI Foundation with NVIDIA supports provisioning pre-configured deep learning VMs that data scientists can use for AI development or MLOps engineers - for validation of ML models.

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.

As a data scientist or MLOps engineer, you have the following options to start using a deep learning VM:

• Deploy a deep learning VM by using a self-service catalog item in VMware Aria Automation.
• Request your DevOps engineer to deploy a deep learning VM on a Tanzu Kubernetes Grid cluster by using the kubectl command.
• Request your cloud administrator to deploy a deep learning VM on a vSphere cluster to quickly explore the deep learning VM templates.