Broadcom Announces the Launch of VMware Cloud Foundation 9.1

Broadcom Inc., a global technology leader that designs, develops, and supplies semiconductor and infrastructure software solutions, is releasing VMware Cloud Foundation (VCF) 9.1—a secure and cost-effective infrastructure platform for production AI workloads.

According to the company, VCF 9.1 delivers an AI and Kubernetes native private cloud platform with integrated security and mixed compute infrastructure support across AMD, Intel, and NVIDIA.

This enables enterprises to deploy inference and agentic AI applications with significantly lower costs, enhanced security, and freedom to choose best-of-breed GPU and CPU hardware.

VMware Cloud Foundation provides a better alternative to public cloud for production workloads through intelligent software that maximizes infrastructure efficiency on existing servers while providing architectural control and regulatory compliance capabilities essential for production AI deployments, the company said.

“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.”

Through intelligent resource management and automated operations, enterprises can deploy more production workloads on current servers, scale efficiently across distributed environments, and eliminate the need for costly infrastructure expansion during a period of hardware shortage and rising costs.

Key capabilities include:

• Intelligent resource optimizationthat maximizes infrastructure utilization through advanced memory tiering and next-generation storage compression for AI data pipelines, enabling higher AI workload density without performance compromises or expensive hardware refresh.
• Automated fleet operationsat scale that deliver doubled management capacity to 5,000 hosts and faster cluster upgrades across distributed and air-gapped environments, eliminating manual patching overhead while supporting rapid AI infrastructure expansion.
• Multi-tenant infrastructure for AI isolationthat enables enterprises and service providers to run multiple AI projects and customers on shared infrastructure with strict security boundaries, maximizing utilization of expensive GPU and CPU resources while supporting data sovereignty for sensitive models.
• Open ecosystem integrationthat delivers multi-accelerator GPU choice across AMD and NVIDIA, support for leading AMD and Intel CPU platforms, and standards-based EVPN and VXLAN interoperability with Arista Universal Cloud Network, demonstrating VCF’s commitment to providing the high-performance connectivity and compute flexibility production AI demands.
• High speed networking for AI workloadsthrough VCF support for NVIDIA ConnectX-7 NICs and NVIDIA BlueField-3 with Enhanced DirectPath I/O. With this enhancement high-speed, multi-host AI model training and data transfer, crucial for demanding Gen AI workloads is enabled.
• Virtualized load balancing and securitywith VMware Avi Load Balancer²and VMware vDefend²eliminate hardware appliance requirements for AI inference endpoints and agentic applications, reducing capital expense while providing enterprise-grade resilience and automated lifecycle management.

VCF 9.1 delivers a unified platform that accelerates AI application deployment by running inference workloads, agentic applications, containerized services, and traditional VMs on a single infrastructure layer. This eliminates operational fragmentation and the cost of managing separate stacks while providing the developer velocity and platform governance that production AI requires, the company said.

VCF 9.1 integrates security at the infrastructure layer to protect AI workloads, proprietary models, and training data from hypervisor to application.

By delivering zero-trust segmentation, sovereign recovery, and continuous patching without bolt-on tools, VCF strengthens the security posture essential for production AI deployments that public cloud environments cannot match, said the vendor.

“As enterprises move AI from experimentation to production, they need infrastructure that delivers performance, efficiency, and flexibility across a broad ecosystem at scale,”said Kumaran Siva, corporate vice president, Compute and Enterprise AI, AMD.“AMD enterprise AI solutions, along with VMware Cloud Foundation 9.1, enable scalable, cost-efficient AI workloads; helping customers deploy inference and agentic AI with the performance, security, and data sovereignty required for production environments.”

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