Deploy a Deep Learning VM by Using a Self-Service Catalog in VMware Aria Automation

In VMware Private AI Foundation with NVIDIA, as a data scientist or DevOps engineer, you can deploy a deep learning VM from VMware Aria Automation by using an AI workstation self-service catalog items in Automation Service Broker.

For information about deep learning VM images in VMware Private AI Foundation with NVIDIA, see About Deep Learning VM Images in VMware Private AI Foundation with NVIDIA.

Prerequisites

• Verify that your cloud administrator has set up the VMware Aria Automation catalog for private AI application deployment. See Add Private AI items to the Automation Service Broker catalog.
• Verify the your cloud administrator has assigned the user role that is required for deploying deep learning VMs.

Procedure

• ♦ Deploy a non-RAG deep learning virtual machine in VMware Aria Automation or Deploy a Deep Learning VM with a RAG Workload.
  Deploying a deep learning VM with NVIDIA RAG requires a vector database, such as a PostgreSQL database with pgvector in VMware Data Services Manager.

Results

The vGPU guest driver and the specified deep learning workload are installed the first time you start the deep learning VM.

What to do next

For details on how to access the virtual machine and the JupyterLab instance that comes with some of the deep learning VM images, in Automation Service Broker, navigate to Consume > Deployments > Deployments.