Recently, at its annual user conference VMware Explore, Broadcom announced that VMware Private AI Services will become a standard component of VMware Cloud Foundation (VCF), the company’s private cloud platform.

“It’s undeniable that customers are resetting their cloud strategies and building out their private clouds to support better developer velocity with IT control, and more cost-efficient AI deployments. To support the next wave of AI innovation, Broadcom is making Private AI a standard part of the modern private cloud,” said Krish Prasad, senior vice president and general manager of the VMware Cloud Foundation Division at Broadcom. “With VMware Cloud Foundation, infrastructure and cloud operators get the cost and operational benefits of virtualization for AI workloads without sacrificing performance.”

VMware Private AI Services consist of several capabilities that enable organizations to run and govern AI models securely and at scale, including GPU Monitoring, Model Store, Model Runtime, Agent Builder, Vector Database, and Data Indexing/Retrieval.

Private AI Services are expected to become a part of the VCF 9.0 subscription in Q1 of FY26. In the meantime, the company is working on adding new functionality to Private AI Services, including an AI support assistant for VCF, Model Context Protocol (MCP) support, a multi-accelerator model runtime, and support for multi-tenant models-as-a-service.

Broadcom has also partnered with companies like NVIDIA and AMD to further support private AI. The latest NVIDIA Blackwell architectures will be supported in VCF, and VCF will also be supported on AMD Enterprise AI software and AMD Instinct GPUs.

“The emergence of generative AI is driving the need for a new level of accelerated computing infrastructure,” said Justin Boitano, vice president of Enterprise AI at NVIDIA. “With NVIDIA networking technology and Blackwell GPUs, enterprises can build and deploy powerful AI applications directly within their existing private cloud, using the full capabilities of the NVIDIA platform in combination with VMware Cloud Foundation.”

Beyond Private AI Services, other updates across the VMware portfolio announced during the event include:

  • Native support for S3 object stores in VMware vSAN, enabling unstructured data to be stored and retrieved on vSAN.
  • VCF Advanced Cyber Compliance, providing continuous compliance enforcement at scale, automated data recovery, and enhanced platform security and incident response.
  • Updates to VMware vDefend, such as Zero Trust lateral security for agentic AI workloads, new workflows for multi-stage segmentation of private cloud workloads, and a new Network Detection and Response Sensor.
  • New features in the Avi Load Balancer, including support for NIST’s post-quantum cryptography algorithms, mTLS in vSphere Kubernetes Service, a WAF assessment tool, and a tech preview for a feature that secures MCP traffic with WAF.
  • VMware Tanzu Platform 10.3, which adds the ability to publish apps as services, new AI model quota capabilities, a new vulnerability insights dashboard, and more.
  • VMware Tanzu Data Intelligence, a data lakehouse that provides low-latency access to multimodal data.