Private cloud grows up as enterprises push AI into production
Enterprise infrastructure is being rebuilt around agentic AI, and the center of gravity is shifting back toward private environments where data, cost and control sit under one roof. As inference workloads scale, the questions facing information technology teams are less about model choice and more about where those workloads actually run. That shift is the […] The post Private cloud grows up as…
Enterprise infrastructure is evolving to incorporate agentic AI, with a renewed focus on private cloud environments. Christophe Bertrand, analyst in residence at theCUBE Research, highlighted that the challenges of agentic AI go beyond raw compute, emphasizing the importance of security and behavior of autonomous agents. Data governance, compliance, and sovereign cloud are also crucial aspects to consider.
VMware Cloud Foundation 9.1 is being rolled out alongside an AI Factory ecosystem, driven by chipmakers and server suppliers. The cost-effectiveness of this transformation is being examined, particularly through advanced memory tiering. Adoption data comparing private cloud inference with public cloud runs will be presented, along with customer security use cases and network requirements.
Bertrand emphasized that VMware technology remains central to AI transformation, and the conversation around agentic AI, economics, and evolving into this new world will gain clarity.
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