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Broadcom has released VMware Cloud Foundation (VCF) 9.1 for production-grade AI workloads, addressing key challenges such as data and IP privacy, infrastructure costs, and readiness for the AI era.

Broadcom Unveils Production-Grade AI Private Cloud Platform

Broadcom announced on May 6th the launch of VMware Cloud Foundation (VCF) 9.1, designed specifically for production-grade AI workloads. This new platform focuses on providing a secure and cost-effective infrastructure. According to Broadcom's '2026 Private Cloud Outlook' report, private cloud remains the preferred platform for production-grade AI, with 56% of surveyed enterprises currently running or planning to run production-grade inference on private clouds.

Addressing AI Infrastructure Costs and Security Concerns

The report also revealed that 62% of IT executives are highly concerned about the costs of generative AI infrastructure, and 36% indicated that AI is driving new demands for data protection, privacy, security controls, and risk management. In response, VCF 9.1 offers an AI and Kubernetes-native private cloud platform, integrating security and hybrid computing infrastructure support across AMD, Intel, and NVIDIA. This enables enterprises to deploy inference and agentic AI applications with significantly lower costs, enhanced security, and the flexibility to choose best-in-class GPU and CPU hardware.

Unified Platform for Reduced Operational Complexity and Costs

Krish Prasad, Senior Vice President and General Manager of the VMware Cloud Foundation Division at Broadcom, stated that VCF 9.1 is a single, unified platform that addresses three key challenges: data and IP privacy concerns, escalating infrastructure costs, and readiness for the agentic AI era. The platform achieves zero-trust security for AI, reduces costs through intelligent infrastructure optimization and hardware choices, and provides the flexibility to run agentic workflows and accelerated inference on the same platform.

*Source: TechNews 科技新報 (2026-05-07)*

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