This session from the Modern Private Cloud: A Secure Foundation for Production AI special edition presented by theCUBE examines how enterprises operationalize private artificial intelligence. Chris Wolf of Broadcom and Craig McLellan of ThinkOn join theCUBE Research and host John Furrier to examine private AI architectures, AI gateways, virtualization and containerization strategies, agent governance and model lifecycle tooling required to move models into secure production environments. Wolf highlights control‑plane sovereignty, AI gateways and virtualization approaches that reduce total cost of ownership while meeting capacity and data residency requirements. They emphasize turnkey VMware VCF tooling, centralized governance and auditability as essential elements for production readiness and clear ROI and tokenomics. McLellan explains that sovereign cloud deployments enable public‑sector compliance and accelerate adoption. They stress the importance of scalable inference infrastructure, integrated lifecycle tooling and governance frameworks for secure production‑grade model deployment.