Broadcom announced that VMware Private AI Services will become a standard component of VMware Cloud Foundation 9.0, making VCF an AI native platform—empowering customers to adopt a unified, AI native platform for secure, modern private cloud infrastructure at scale.
“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, VMware Cloud Foundation Division, Broadcom. “With VMware Cloud Foundation, infrastructure and cloud operators get the cost and operational benefits of virtualization for AI workloads without sacrificing performance. Developers get access to native AI services delivered directly from the private cloud platform for a frictionless experience.”
According to the company, VCF is a secure, scalable private cloud platform tailored for AI, enabling organizations to run, move, and govern AI models with GPU precision.
From fine-tuning to inference, VCF enables organizations to offer Private AI as a governed and secure service to users.
VMware Private AI Services entitlement as part of a VCF 9.0 subscription is expected to be available in Broadcom’s Q1 FY26.
These native AI services, such as GPU Monitoring, Model Store, Model Runtime, Agent Builder, Vector Database, and Data Indexing/Retrieval, enhance privacy and security, simplify infrastructure, and streamline model deployment. With Private AI now core to VCF, enterprises will get one unified platform for their AI and non-AI workloads without an additional purchase.
VCF customers will also get access to forthcoming AI innovations such as:
- Intelligent Assist for VCF: An AI-driven support assistant (currently in tech preview) that will help diagnose and resolve issues faster, by quickly accessing Broadcom's knowledge base for solutions, significantly reducing downtime. It will offer flexibility to use on-premises or cloud-hosted language models.
- Model Context Protocol (MCP) Support: will provide crucial governance and security for MCP, integrating AI services with diverse tools. MCP support will provide customers with a standardized method to integrate AI assistants with internal content repositories and external tools such as Oracle, Microsoft SQL Server, ServiceNow, GitHub, Slack, PostgreSQL, and more without building and maintaining custom connectors.
- Multi-accelerator Model Runtime: will enable organizations to flexibly deploy AI models across a range of hardware, including AMD and NVIDIA GPUs, without the need to refactor AI applications, optimizing infrastructure utilization.
- Multi-tenant Models-as-a-Service: will enable significant TCO and power savings by allowing the secure sharing of AI models between tenants or separate lines of business in their namespaces while maintaining full data privacy and isolation for each tenant.
VCF frees development teams to focus on applications instead of infrastructure. Its native vSphere Kubernetes Service (VKS) provides enterprise Kubernetes for agile modern app development directly from the private cloud. Other new developer-focused innovations include:
- Native vSAN S3 Object Store
- GitOps, Argo CD, and Istio for secure application delivery
- Broadcom/Canonical expanded partnership
For more information about this news, visit www.vmware.com or www.broadcom.com.