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VMware Cloud Foundation 9.0 includes private AI services to run both AI and non-AI workloads natively
Expanding the AI ​​ecosystem with NVIDIA and AMD

Author: Mash Yang
December 2025, 08 - Updated on December 26, 2025
in exhibition, Market dynamics, network, software
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Recently announced the launchVMware Cloud Foundation (VCF) 9.0Later, at VMware Explore 2025, Broadcom officially announced the inclusion of VMware Private AI services in VMware Cloud Foundation 9.0, making it a standard feature of the VCF cloud foundation. This allows enterprises to run AI and non-AI workloads simultaneously in a native form within a single private cloud architecture environment, and deploy AI application services in a more efficient and secure manner.

VMware Cloud Foundation 9.0 includes VMware Private AI, making it a standard feature of VMware Cloud Foundation. This allows enterprises to run both AI and non-AI workloads natively within a single private cloud architecture, enabling them to deploy AI applications more efficiently and securely.

Broadcom noted that nine of the top 500 Fortune 500 companies have committed to adopting VCF's cloud infrastructure, with over 10 million cores of computing services deployed globally through licenses, demonstrating the rapidly growing demand for private cloud transformation. Broadcom emphasized that as enterprises reassess their cloud strategies, VCF offers "faster development, greater IT control, and more cost-effective AI deployment," making it a key platform for enterprises to adopt private AI.

▲ Among the top 500 Fortune 500 companies, 10 have already committed to adopting VCF cloud infrastructure.
▲The operational efficiency of private cloud platforms will become the key to successful enterprise transformation
▲Cloud infrastructure will drive faster development and growth efficiency

Private AI becomes a core component

In VCF 9.0, VMware Private AI services will be included directly with subscription licenses and are expected to be available in the first quarter of Broadcom's fiscal year 2026. These services include GPU monitoring, a model repository, a model runtime environment, agent build tools, a vector database, and data retrieval. These services not only simplify infrastructure setup but also enhance privacy and security, enabling rapid implementation of AI models from fine-tuning to inference within a private cloud environment.

From the past cloud native to the current AI native, enterprises and developers now have higher efficiency expectations for cloud infrastructure.

AI enhancements: from smart assistants to multi-accelerator support

VCF 9.0 also introduces several AI-enhanced features, including:

• Intelligent Assist for VCF:An AI support assistant (currently in technical preview) has been added to VCF to quickly diagnose and resolve issues, reducing service downtime. It can be deployed and run locally or in the cloud.

• Model Context Protocol (MCP) supports:Provides standardization of model context protocols, integrates data exchange between internal and external tools (such as Oracle, SQL Server, GitHub, Slack, etc.), and ensures data governance and security.

• Multi-accelerator Model Runtime (Multi-accelerator Model Execution):Allows models to run across NVIDIA and AMD GPU acceleration, optimizing infrastructure utilization without re-architecting applications.

• Multi-tenant Models-as-a-Service (Multi-tenant Models-as-a-Service):While ensuring data security isolation, tenants or business units are allowed to safely share AI models, reducing total cost of ownership and energy consumption.

Expanding the AI ​​ecosystem with NVIDIA and AMD

In addition to announcing a partnership with NVIDIA to introduce NVIDIA Blackwell display architecture GPUs in the new version of VCF, along with the addition of ConnectX-7 NICs and BlueField-3 DPUs to enhance the performance of generative AI and HPC workloads, Broadcom is also collaborating with AMD to add AMD ROCm Enterprise AI and Instinct MI350 GPUs to VCF to help companies fine-tune large language models (LLMs), deploy search-augmented generation (RAG) workflows, and perform inference within data centers.

In addition to announcing a partnership with NVIDIA, Broadcom also announced a collaboration with AMD. The collaboration includes the addition of AMD ROCm Enterprise AI and Instinct MI350 GPUs to VCF, helping companies fine-tune large language models (LLMs), deploy search-augmented generation (RAG) workflows, and perform inference within data centers.
The next market trend will see more services built on private cloud AI.

Productivity tools for developers

VCF 9.0 also enhances the developer experience by enabling direct access to unstructured data within native vSAN S3 object storage, simplifying storage management and improving development efficiency. GitOps and Argo CD tools enable versioning of infrastructure and application services through Git, ensuring consistent deployments and subsequent auditability, while ensuring reliable and secure management.

In addition, the integration of the open source Istio Service Mesh in VCF 9.0 can provide zero-trust networking, traffic control, and observability, making containerized application services more secure.

▲VCF 9.0 enhances the developer experience by allowing direct access to unstructured data in native vSAN S3 object storage, simplifying storage management and improving development efficiency. With GitOps and Argo CD tools, infrastructure and application services can be versioned through Git, ensuring consistent deployment and subsequent auditability, ensuring security management reliability.
▲By introducing AI-assisted workflows, we help developers create more AI-driven application services

Actual enterprise introduction case

Many companies are already using VCF to drive transformation. For example, Grinnell Mutual, an insurance company based in Grinnell, Iowa, has integrated different IT teams onto a single private cloud platform to accelerate collaboration. New Belgium Brewing, an American craft brewery, is leveraging VCF 9.0 to enhance IT operational efficiency and built-in security capabilities, ensuring compliance and business continuity.

Private cloud enters the AI ​​era

With VCF 9.0, Broadcom is evolving private clouds into AI-native platforms. This platform not only supports traditional application service operations but also serves as the core for enterprises to introduce private AI as a service. With the addition of industry partners such as NVIDIA and AMD, Broadcom predicts that the VCF AI ecosystem will continue to expand, bringing greater agility, cost-effectiveness, and innovation to enterprises.

▲With VCF 9.0, Broadcom is evolving private clouds into AI-native platforms. This platform not only supports traditional application service operations but also serves as the core for enterprises to introduce private AI as a service.
Tags: AIAMDBroadcomNvidiaPrivate AIVCFVCF 9.0VMwareVMware Cloud FoundationVMware Cloud Foundation 9.0VMware ExploreVMware Explore 2025VMware Cloud FoundationArtificial wisdomBroadcomPrivatizing AI
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Mash Yang

Mash Yang

Founder and editor of mashdigi.com, and student of technology journalism.

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