VCF 9.1: From AI Hype to Production Reality

About this episode

The episode discusses the challenges of operationalizing AI in production environments with insights from Chris Wolf of Broadcom.

AI is easy to demo but hard to run in production. In this episode, Pete and John sit down with Chris Wolf, Global Head of AI at Broadcom, to break down what it actually takes to operationalize AI. They explore how customers are moving from experimentation to real-world Private AI on VMware Cloud Foundation 9.1, where it fits alongside public cloud models, and how to identify use cases that deliver measurable business value. The conversation also dives into intelligent model routing, MCP governance, GPU and CPU flexibility, and why production inference requires a full platform approach. If you’re trying to separate AI hype from reality, this episode connects the dots.

People in this episode

Hosts: Pete, John

Guest: Chris Wolf

Topics covered

• AI operationalization
• Private AI
• public cloud models
• business value
• model routing
• MCP governance
• production inference

Keywords

• AI
• production
• VMware
• cloud
• business value
• model routing
• inference

Mentioned in this episode

Organizations: Broadcom, VMware Cloud Foundation 9.1

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