The new platform targets enterprise demand for cost-efficient, secure AI infrastructure, enabling organizations to run production workloads on private cloud environments while addressing concerns around data sovereignty, operational complexity, and rising AI deployment costs.
Broadcom Inc. has announced the launch of VMware Cloud Foundation (VCF) 9.1, a next-generation private cloud platform designed to support production-scale artificial intelligence workloads. The offering integrates AI-ready infrastructure with Kubernetes capabilities and enhanced security, enabling enterprises to deploy inference and agentic AI applications on a unified platform.
The company said the platform is engineered to operate across diverse hardware ecosystems, including solutions from AMD, Intel, and NVIDIA, giving enterprises flexibility in choosing compute and accelerator resources.
Private cloud gains ground for AI workloads
Broadcom’s announcement comes alongside insights from its upcoming Private Cloud Outlook 2026 report, which indicates a growing preference for private cloud environments in AI deployment. A majority of surveyed organizations are either already running or planning production inference workloads on private infrastructure, while reliance on public cloud for similar use cases has declined.
Cost pressures and security concerns are emerging as key drivers behind this shift. Enterprises are increasingly seeking predictable infrastructure expenses and tighter control over sensitive data, particularly as generative AI adoption accelerates and regulatory requirements become more stringent.
“As more enterprises turn to AI for driving competitive advantage, they face three critical challenges: data and IP privacy concerns, surging infrastructure costs, and their readiness for the world of agentic AI,” said Krish Prasad, senior vice president and general manager, VMware Cloud Foundation Division, Broadcom. “VCF 9.1 is a single unified platform that addresses all three and delivers one of the most advanced infrastructures for Private AI. We enable zero-trust security for AI, reduce costs through intelligent infrastructure optimization and hardware choice, and provide the flexibility to run both agentic workflows and accelerated inferencing on the same platform.”
Focus on efficiency, scale and security
VCF 9.1 introduces multiple enhancements aimed at improving infrastructure efficiency and scalability. These include optimized resource utilization, automated operations across large environments, and support for multi-tenant AI workloads. The platform also integrates high-speed networking and advanced observability tools to manage complex AI deployments.
On the security front, the solution incorporates zero-trust architecture, continuous compliance monitoring, and ransomware recovery capabilities. These features are designed to protect AI models and sensitive data while ensuring uninterrupted operations.
Industry partners, including Arista Networks and CrowdStrike, highlighted the platform’s focus on open standards, performance, and security integration, reinforcing its positioning as a comprehensive infrastructure solution for enterprise AI adoption.
With organizations increasingly moving AI from experimentation to production, Broadcom’s latest offering underscores the growing importance of private cloud platforms in delivering scalable, secure, and cost-effective AI infrastructure.
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