Production AI shouldn’t need another stack. But can private cloud deliver?
Private AI is moving into production, and enterprises are demanding more than another collection of AI components. Product marketing is now about turning that complexity into a turnkey system that can get AI running faster.
The bet is that the platform enterprises already use to run virtual machines and containers can also run their models and agents, delivered as a single turnkey system rather than a stack customers assemble themselves, according to Prashanth Shenoy (pictured), chief marketing officer and vice president of the VMware Cloud Foundation Division at Broadcom Inc.
“We have reached a very critical juncture in the world of AI,” Shenoy said. “A lot of our organizations are moving from pilot to production at scale, so there are big concerns around cost, tokenomics, security and privacy concerns of their data. A lot of our organizations are looking towards private cloud as the preferred platform for deploying their production AI workloads.”
Shenoy spoke with theCUBE’s John Furrier at VMware Explore 2026, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the VCF AI Factory, private AI services and frontier AI security. (* Disclosure below.)
