What It Actually Takes to Run AI at Production Scale

Every infrastructure team building for AI right now is wrestling with the same tension: move fast enough to keep up with the business, without architecting yourself into a cost and complexity problem you can’t walk back from.

On October 29, Chris Wolf, Global Head of AI & Advanced Services for the VMware Cloud Foundation Division, joins Sreenivasan Rajagopal, GM & Head of ValueOps AI and Infrastructure, for SD Times’ Economics of AI Supercast to talk through what’s actually working for infrastructure teams ahead of this curve.

A few things we’ll get into:

• Avoiding ecosystem lock-in. Whether your teams are building on Anthropic, OpenAI, or something self-hosted, the right architecture isolates and secures the agent without forcing one opinionated stack on everyone.
• Reference architectures for agentic RAG on your hybrid cloud estate. You’ll learn real deployment patterns, not just theory.
• Low-cost proof-of-concepts that can cost less than a single day of high token spend. Quickly build institutional knowledge before committing further.
• Real-world insights on operating at the frontier of AI today, and why very few companies can currently claim they’re there.

A practical, architecture-first conversation for infrastructure and platform leaders who are past the “should we” question and into the “how do we do this well” one.

Register for the free Economics of AI Supercast.