VMware Cloud Foundation, Private AI, and the technical content I've built along the way.

Deploying and Governing AI Models and Agents with VCF Private AI Services | VMware Explore 2026

Watch my VMware Explore 2026 session on using GitOps to deploy and govern AI models and agents with VCF Private AI Services.

Darin Schmitz presenting Deploy and Govern AI Models and Agents with VCF Private AI Services at VMware Explore 2026

Getting an AI model running is only the first step. The hard part is keeping models, vector databases, and agents consistent, secure, and repeatable across their whole lifecycle.

At VMware Explore 2026, Nikhil Kulkarni and I showed how to bring a GitOps approach to VMware Cloud Foundation Private AI Services. You define AI components as code, deploy them through version-controlled manifests, and eliminate manual configuration drift. If your team wants to move past experimental “shadow AI” and into governed production, this session shows you how. Watch the full recording below.

Watch the session on the VMware Explore replay page.

Wrapping up

VCF Private AI Services makes it easy to get AI models running, and GitOps makes it easy to keep them that way. This session shows how to make your AI infrastructure as reviewable, repeatable, and reliable as any other code.

Also check out my session on Mastering GPUs for AI on VMware Cloud Foundation.