VMware Cloud Foundation 9.0 becomes an AI-native platform by including Private AI Services at no additional cost, positioning private cloud as a cost-efficient alternative to public cloud strategies. Large enterprises show strong adoption, with nine of the top ten Fortune 500 using VCF and over 100 million VCF core licenses sold worldwide. Broadcom will provide VMware Private AI Services starting in Q1 2026, offering GPU Monitoring, Model Store, Model Runtime, Agent Builder, Vector Database, and Data Indexing/Retrieval. Planned innovations include VCF Intelligent Assist and Model Context Protocol support to enable governance, secure data integrations, and faster diagnostics.
VMware Cloud Foundation 9.0 will become an AI-native platform with Private AI Services included by default. Broadcom is positioning the private cloud as an alternative to costly public cloud strategies. Nine of the top 10 Fortune 500 companies use VCF. According to Broadcom, the adoption of VCF 9 among Fortune 500 companies demonstrates the success of the new VMware strategy. With more than 100 million VCF core licenses sold worldwide, large organizations have shown significant confidence in the platform. VCF transforms into AI-native platform VMware Cloud Foundation 9.0 also marks a change in Broadcom's AI strategy. Private AI Services will become a standard part of VCF, providing organizations with an integrated platform for both AI and traditional workloads at no additional cost.
Krish Prasad, senior vice president at Broadcom's VMware Cloud Foundation Division, says that customers are reevaluating their cloud strategies and now expanding their private clouds. One of the reasons for this is to achieve cost-efficient AI implementations. To enable the next wave of AI innovation on-premises. Future AI innovations on the roadmap Broadcom will offer VCF customers access to VMware Private AI Services starting in the first quarter of 2026. These native AI services include GPU Monitoring, Model Store, Model Runtime, Agent Builder, Vector Database, and Data Indexing/Retrieval. They enhance privacy and security, simplify infrastructure, and streamline model deployment.
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