{"id":999072,"date":"2026-08-31T11:52:50","date_gmt":"2026-08-31T15:52:50","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/broadcom-announces-vmware-ai-factory-enabling-faster-time-to-production-ai-and-greater-control-over-ai-tokenomics\/"},"modified":"2026-08-31T11:52:50","modified_gmt":"2026-08-31T15:52:50","slug":"broadcom-announces-vmware-ai-factory-enabling-faster-time-to-production-ai-and-greater-control-over-ai-tokenomics","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/broadcom-announces-vmware-ai-factory-enabling-faster-time-to-production-ai-and-greater-control-over-ai-tokenomics\/","title":{"rendered":"Broadcom Announces VMware AI Factory, Enabling Faster Time to Production AI and Greater Control Over AI Tokenomics"},"content":{"rendered":"

\nNew AI Infrastructure Automation and Private AI Services Deliver a Single Consistent Environment for Deploying, Governing, and Securing AI Workloads from Bare Metal to Inference
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LAS VEGAS, Aug. 31, 2026 (GLOBE NEWSWIRE) — VMware Explore 2026 <\/strong>—\u00a0Broadcom Inc. (NASDAQ: AVGO), a global technology leader that designs, develops, and supplies semiconductor and infrastructure software solutions, today announced VMware AI Factory, the software-defined foundation of VMware Private AI Cloud. VMware AI Factory provides customers a simplified path to production AI with new automation innovations for deploying AI-ready infrastructure and supporting Day 2 operations. With VMware AI Factory, customers can achieve faster time to first model deployment and better manage AI tokenomics.<\/p>\n

\u201cEnterprises want to run AI where their data lives, but the journey from metal to model is slow, complex, and expensive,\u201d said Paul Turner, chief product officer, VMware Cloud Foundation Division, Broadcom. \u201cVMware AI Factory changes that. We give customers a software-defined foundation that automates infrastructure deployment, unifies lifecycle management, and lets them choose their preferred hardware and vetted models. The result is faster time to first model, predictable private cloud costs, and better control over AI tokenomics.\u201d<\/p>\n

\n VMware AI Factory Accelerates Time to First Model<\/strong>
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VMware AI Factory brings AI applications directly to enterprise private data within a secure private cloud environment. VCF\u2019s unique infrastructure automation capabilities can reduce the time from bare metal server deployment to serving the first AI model from weeks to a matter of hours. VMware AI Factory streamlines AI infrastructure management by fully automating hardware provisioning, software stack enablement, and end-to-end lifecycle management. By integrating hardware and software operations into a unified, automated solution, organizations can rapidly scale AI workloads while minimizing operational complexity.<\/p>\n

As part of the VMware AI Factory, private AI services help make AI operational, governable, and cost-effective. VCF pools and shares GPU resources across the organization so teams can run multiple models on shared hardware instead of dedicating infrastructure to each workload. A unified model gallery gives IT and data science teams a single interface for deploying and managing model inference and RAG workflows across VMs, containers, and GPU resources, with built-in observability into token throughput, latency, and compute and memory utilization. Enterprises can pivot to new models while keeping costs low through shared infrastructure and governed models-as-a-service. New and forthcoming private AI services include:<\/p>\n