Real-World Lessons in Rightsizing VMware Cloud Foundation for On-Premises AI Workloads [INVB1300LV]

AI workloads—especially those powered by large language models (LLMs)—are reshaping how we design, size, and operate infrastructure. It is no longer just about compute and storage. Model size, inference latency, concurrency, and GPU allocation all have a major impact. In this session, Frank Denneman and Johan van Amersfoort share real-world lessons from designing and deploying AI-ready VMware Cloud Foundation® platforms across multiple customer environments. You will learn practical strategies for rightsizing infrastructure, weighing the trade-offs between backup and MLOps pipelines, and designing for on-premises AI workloads. Using a practical AI infrastructure sizing tool, they will demonstrate how to align infrastructure with real-world demands and guide conversations with stakeholders and AI ISVs to help you make smarter, more cost-effective platform decisions. Watch more in the full video library: https://brcm.tech/3ZACdvC