From AI to Real Outcomes

AI is moving fast, but getting from infrastructure to a working model in production can still be complicated, expensive, and time-consuming.

Live from VMware Explore 2026, Pete Flecha and David Linthicum sit down with Chris Wolf, Global Head of AI and Advanced Services at Broadcom, to break down the latest VMware Cloud Foundation AI announcements and what they mean for enterprises building an AI strategy.

Chris explains VMware AI Factory, designed to automate the journey from infrastructure deployment to running models and simplify ongoing Day 2 operations. The conversation also dives into the latest Private AI Services capabilities, including AI Gateway, model routing, agent governance, token controls, tracing, and the ability to use both on-premises and cloud-based models.

They also tackle one of the biggest questions facing enterprises today: the economics of AI. When does running AI on premises make more sense than consuming tokens from public AI services? And as AI sovereignty becomes increasingly important around the world, why does control of both the data plane and control plane matter?

Finally, Chris offers practical advice for organizations that want to stop talking about AI and start proving its value: pick a use case, start small, measure the economics, and build from there.