At VMware Explore in Las Vegas, the Buzz was not only about generative AI, but about where and how it should walk. My guest is Tasha Drew, director of Engineering of the AI team in the VMware Cloud Foundation Division at Broadcom, which is central to this conversation. Fresh from the main stage, where she helped debut from the new Private AI services and intelligent assistant for VMware Cloud Foundation, Tasha adds me to unpack what these announcements mean for companies that are struggling with privacy, costs and integration charges.
Tasha explains why Private AI resonates so strongly in 2025, the three pillars explain that define: protecting sensitive intellectual property, managing regulated or high -quality data and provides rolls -based control over refined models. She shares how organizations often start their AI trip in the public cloud, but as experiments focus on production, costs pressure, data compliance and proximity of data that drive them to private AI.
We also dive into VMware’s own evolution to build an AI-Native private cloud platform. Tasha emphasizes the journey of Determen VMs and Jupyter-notebooks to full AI platform services that enable IT teams to deliver models efficiently, save money and to accelerate the use of the collection of augmented generation (RAG) applications. She introduces intelligent assist for VMware Cloud Foundation, an AI-driven guide that helps teams to navigate complex implementations with context conscious support and step-by-step instructions.
In addition to the technology, Tasha reflects on the broader ecosystem shifts, from partnerships with NVIDIA and AMD to the role of Model Context Protocol (MCP) in breaking down integration barriers between business systems. She believes that MCP represents a turning point, which makes seamless workflows between platforms that historically have no incentive to work together.
This conversation records a crucial moment when private AI goes from theory to the adoption of Enterprise. For leaders who weigh their next step, Tasha offers both the strategic framing and the technical insight to understand why Private AI has become one of the most spoken forces that it is the enterprise today.
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