Why CPUs are the secret to scalable and secure enterprise AI
Intel Xeon 6 processors and Ubuntu enable Private AI on VMware Cloud Foundation
Enterprise AI adoption is no longer solely a technology challenge. It is increasingly a data governance, security, and operational challenge. Organizations need AI solutions that can be deployed where their data resides, managed through existing operational processes, and aligned with established compliance requirements.
This whitepaper presents a reference architecture for Private AI built on Intel Xeon 6 processors, VMware Cloud Foundation (VCF), and Canonical’s open source software ecosystem. The architecture enables organizations to deploy AI inference workloads on enterprise infrastructure while maintaining governance, security, and operational consistency.
By using familiar management frameworks and standardized software environments, enterprises can accelerate AI adoption, simply operations, and reduce deployment complexity.
Download the whitepaper to discover:
- How enterprise AI requires more than accelerators
- The reference architecture for Private AI
- How VMware Cloud Foundation Private AI Services operationalizes AI in production
- Why Intel Xeon 6 processors matter for AI on VCF
- How Canonical Ubuntu standardizes the operating system layer for Private AI
Also included is a guide for deploying Inference Snaps in VCF on Intel infrastructure.