Terry KS Broadcom is integrating NVIDIA’s latest AI technologies into VMware Cloud Foundation, enabling enterprises to build and scale advanced AI models within their private cloud environments. The collaboration combines NVIDIA Blackwell GPUs, high-speed networking, and VMware’s trusted virtualization features for enterprise-grade AI deployments.
SINGAPORE, 27 AUGUST 2025 – Broadcom Inc. has announced a major expansion of its collaboration with NVIDIA to bring cutting-edge AI acceleration to VMware Cloud Foundation (VCF). This integration will allow enterprises and cloud service providers to build, deploy, and scale next-generation AI models on advanced servers while maintaining the operational reliability VCF is known for.
With AI applications rapidly reshaping data center architectures, the enhanced platform will support NVIDIA Blackwell GPUs — including the RTX PRO 6000 Server Edition — as well as NVIDIA networking technology. These enhancements will expand the VMware Private AI Foundation jointly developed by Broadcom and NVIDIA, giving customers unprecedented flexibility, performance, and efficiency for AI infrastructure.
“Our customers want the freedom to innovate with AI while continuing to rely on the enterprise platforms they trust,” said Paul Turner, vice president of products for VMware Cloud Foundation at Broadcom. “This partnership enables organizations to scale AI workloads alongside existing applications without compromising performance, efficiency, or availability.”
Justin Boitano, vice president of Enterprise AI at NVIDIA, added, “Generative AI is driving the need for a new level of accelerated computing infrastructure. With NVIDIA networking technology and Blackwell GPUs, enterprises can fully leverage AI capabilities directly in their private clouds with VMware Cloud Foundation.”
Key integrations include support for NVIDIA RTX PRO 6000 Server Edition GPUs, future support for Blackwell B200 GPUs for massive AI and HPC applications, and high-speed networking with NVIDIA ConnectX-7 NICs and BlueField-3 DPUs. These technologies will enable AI model training and data transfer at unprecedented speed using features like NVIDIA GPUDirect RDMA and GPUDirect Storage.
Crucially, customers will retain VMware’s enterprise-grade virtualization capabilities — such as vMotion, High Availability (HA), Distributed Resource Scheduler (DRS), and Live Patching — ensuring reliable mixed workloads where AI/ML applications can seamlessly run alongside existing enterprise systems.