VMware Cloud Foundation 9.0 Becomes AI-Native Platform

/ AI, Cloud, Data Management, DevOps, Machine Learning, VMware Explore
VMware Cloud Foundation 9.0 Becomes AI-Native Platform

The News

Broadcom announced that VMware Private AI Services will be a standard entitlement in VCF 9.0, making the platform AI-native by default. With more than 100 million cores of VCF licensed globally and adoption from nine of the top ten Fortune 500 companies, VMware is positioning VCF as the private cloud foundation for enterprise AI.

What’s New in VCF 9.0

  • Private AI Services Built-In: Model Store, Runtime, Vector DB, Agent Builder, Data Indexing/Retrieval.
  • Intelligent Assist: AI-driven support assistant for faster troubleshooting.
  • MCP Support: Secure integration of AI assistants with enterprise systems like SQL Server, ServiceNow, and GitHub.
  • Multi-Accelerator Runtime: Run models across NVIDIA or AMD GPUs without refactoring.
  • Native vSAN S3 Object Store: Built-in object storage, cutting reliance on external vendors.
  • GitOps + Argo CD + Istio: Secure, automated app delivery with Git as source of truth.

Why It Matters

theCUBE Research has found that developers are increasingly constrained by fragmented toolchains when deploying AI in enterprise environments. By baking AI services directly into the private cloud, VCF reduces friction for developers and provides IT with the guardrails needed for governance and compliance.

This move shifts VMware from being a “virtualization leader” to being an AI-native infrastructure provider. It also echoes our research, which emphasizes the growing convergence of application modernization, observability, and AI governance as enterprises industrialize AI.

Developer Impact

Developers may now get AI as a service inside the private cloud without additional purchases or bespoke integrations. This could mean faster deployment of RAG workflows, easier experimentation with LLMs, and fewer operational delays. For platform teams, it may ensure AI is secure, governed, and cost-optimized from day one.

Author

  • Paul Nashawaty

    Paul Nashawaty, Practice Leader and Lead Principal Analyst, specializes in application modernization across build, release and operations. With a wealth of expertise in digital transformation initiatives spanning front-end and back-end systems, he also possesses comprehensive knowledge of the underlying infrastructure ecosystem crucial for supporting modernization endeavors. With over 25 years of experience, Paul has a proven track record in implementing effective go-to-market strategies, including the identification of new market channels, the growth and cultivation of partner ecosystems, and the successful execution of strategic plans resulting in positive business outcomes for his clients.

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