Enables enterprises to scale AI cost-effectively, operate more securely and innovate rapidly
Broadcom Inc., a global technology leader that designs, develops, and supplies semiconductor and infrastructure software solutions, has introduced VMware Private AI Cloud, a more secure, scalable, and flexible approach to AI that brings the model to the data, not the data to the model.
Built on Broadcom’s advanced software capabilities, VMware Private AI Cloud gives organizations a production-ready path to securely building, running, and governing inference workloads, agentic applications, and traditional enterprise workloads together on a single private cloud platform.
Offering diverse hardware, model, and accelerator choices, VMware Private AI Cloud lets enterprises scale AI cost-effectively, operate more securely, and innovate rapidly.
“VMware Private AI Cloud is the inflection point where enterprise private cloud and private AI infrastructure stop operating as separate disciplines and become one—enabling production inference workloads and agentic AI with the data sovereignty, compliance posture, and cost predictability their business demands,” stated Ram Velaga, President, Infrastructure Software Group, Broadcom.
Tokenomics
To optimize tokenomics and resource usage, it features token monitoring, multi-tenant model sharing, enhanced GPU/vGPU tracking, and an AI metrics observability dashboard.
Designed with a defense-in-depth approach aligned to NIST CSF 2.0, VCF protects against AI-accelerated threats by minimizing the attack surface and enabling continuous compliance. Automated, non-disruptive updates keep systems current, while VMware vDefend uses virtual patching and hypervisor-level lateral security with microsegmentation to enforce Zero Trust and block exploits.
Furthermore, vDefend’s multi-layer threat defense and VMware Avi Load Balancer’s web application firewall and API protection prevent sophisticated attacks. Security innovations supporting Private AI Cloud include:
TrueSource by Broadcom for verifiably built open source: Designed to address the acceleration in AI-enabled exploitation, Spring Enterprise delivers secure, curated Spring releases from the team that maintains it.
Agentic Zero Trust with vDefend: New vDefend enhancements will extend Zero Trust lateral security for agentic AI workloads by identifying agentic AI components through continuous monitoring of traffic flows and Prevention (IDPS) signatures.
Agentic Threat Defense with Avi Load Balancer: Avi web security will broaden its protection of agentic AI workloads by restricting agents from accessing unauthorized tools and preventing misuse; flagging and isolating anomalous behavior to detect zero day attacks.
