GPUs, Kubernetes & AI Infrastructure Realities
In this episode, Frank Denerman discusses the challenges of running AI workloads—especially GPU‑intensive models—on Kubernetes and why virtualizing the Kubernetes layer with VMware’s solutions is essential. He explains how Dynamic Resource Scheduling (DRS) and Dynamic Resource Allocation (DRA) provide fine‑grained, topology‑aware GPU slicing, isolation, and security, while preserving performance compared to bare‑metal deployments. The conversation also highlights the chronic under‑utilization of GPUs (average ~13% usage) and the financial impact of idle, expensive hardware, making intelligent orchestration and observability critical for cost control.
Enterprise AI Search, RAG & Agents at Scale with Vectara
In this KubeCon 2026 session, Jeff Chapman of Vectara discusses how the company’s enterprise AI platform integrates with Broadcom and VMware to deliver scalable, multimodal search, Retrieval‑Augmented Generation (RAG), and AI agents for private‑cloud environments. He explains Vectara’s approach to...
Introducing VCF 9.1: Built for Efficiency and Resilience
In this episode, Pete Fletcher and VMware Cloud Foundation (VCF) VP of Products Paul Turner discuss the launch of VCF 9.1, emphasizing its design for AI‑driven data centers. They highlight soaring hardware costs—CPU, GPU, and memory prices have roughly doubled—making...
Lessons From an Upgrade to VCF 9
In this episode, host Pete Fletcher and co‑host John Nicholson interview Michele Collatto, a senior IT leader at a New York‑based financial institution, about their migration from VMware Cloud Foundation (VCF) 5.2 to VCF 9.0 across four global data centers....
VMUG Connect Minneapolis Recap
In this recap of VMUG Connect Minneapolis, hosts John and Brad Tompkins discuss the event’s focus on VMware Cloud Foundation (VCF) upgrades, highlighting cost‑saving opportunities and the expanded Broadcom Compatibility Guide that eases migration from vSphere 8 to 9. They...