The Private AI Ready Infrastructure for VMware Cloud Foundation solution has objectives to deliver prescriptive content about the solution so that it is fast to deploy and is suitable for use in production environments.

Objective Description

Main objective

Provide enterprise private AI GPU-enabled infrastructure to build an AI platform for data scientists and ML engineers using VMware Cloud Foundation as its foundational layer.

VMware Cloud Foundation architecture support

  • vSAN ReadyNodes
    • Standard
      • Single VMware Cloud Foundation instance
    • Consolidated
      • Single VMware Cloud Foundation instance

Workload domain type support

VI Workload domain

Scope of implementation

  • Configuration of VMware Cloud Foundation components:
    • vCenter Server
    • VMware NSX
    • VMware Aria Automation
    • VMware Aria Operations
  • Deployment and configuration of VMware solution components:
    • vSphere with Tanzu
  • Deployment and configuration of add-on solution components:
    • VMware Private AI Foundation with NVIDIA

Scope of guidance

  • Deployment and initial configuration of the Supervisor in vSphere with Tanzu.
  • Deployment and initial configuration of Tanzu Kubernetes Grid clusters using Tanzu Kubernetes Grid Service and NVIDIA Kubernetes Operators.
  • VMware Private AI Foundation with NVIDIA configuration including VMware Aria Automation setup, integration of VMware Data Services Manager, and deep learning VM configuration.
  • Operations for included components, such as monitoring and alerting, backup and restore, post-maintenance validation, and upgrade.

Cloud type

Private Cloud



AI Application Starter Packs

Retrieval Augmented Generation (RAG) Starter Pack