Three insights you may have missed from theCUBE’s coverage of VMware Explore
Private cloud modernization is shifting from a virtualization refresh into a broader effort to build an operating foundation for production artificial intelligence. As enterprises move models and autonomous agents into core workflows, infrastructure decisions must account for cost, security, governance and where increasingly diverse workloads should run. At this year’s VMware Explore, private…
Three key insights emerged from theCUBE's coverage of VMware Explore regarding private cloud modernization. Firstly, production AI is transforming the focus towards building an operating foundation that accommodates new workload demands without compromising control. Broadcom Inc. has developed VMware Cloud Foundation as this central foundation, combining cloud-like development and deployment capabilities with private infrastructure to cater to enterprise security, cost controls, and resiliency needs.
Secondly, software architecture plays a crucial role in ensuring flexibility as model requirements, accelerators, and deployment choices evolve. Chris Wolf from Broadcom emphasized that "software is what’s giving you the ability to have autonomy in terms of the accelerators you use, to have the flexibility to ensure that I can use cloud models when I need to or use local models when I need to."
Lastly, the increasing autonomy of agentic AI applications necessitates robust platform-level governance for security and control. Purnima Padmanabhan from Broadcom highlighted the importance of giving agents "on my terms" access to enterprise resources, while also addressing concerns about rapid calls across enterprise systems and the need for controls to manage these autonomous actors, including models and Model Context Protocol servers.
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