Virtually Speaking Podcast

At KubeCon 2026, Pete Flecha and John Nicholson sit down with VMware by Broadcom’s Frank Denneman to explore one of the biggest infrastructure conversations happening in AI today: should Kubernetes workloads run on bare metal or virtualized infrastructure?

The discussion dives deep into how AI workloads are changing infrastructure design, why Kubernetes and virtualization are becoming increasingly connected, and how technologies like DRS and Dynamic Resource Allocation (DRA) are evolving to support modern GPU-intensive environments.

Frank explains the operational, security, and resource management challenges organizations face as AI adoption accelerates — especially when dealing with expensive GPU clusters, multi-tenant AI workloads, and the rise of AI agents.

Topics include:

Why virtualization still matters for Kubernetes and AI

GPU scheduling, topology awareness, and resource isolation

DRA (Dynamic Resource Allocation) in Kubernetes

AI infrastructure efficiency and GPU utilization

Security and isolation for AI agents and workloads

Token governance and AI operational guardrails

Lessons learned from decades of virtualization applied to AI infrastructure

If you’re trying to understand where Kubernetes, virtualization, and AI infrastructure are headed next, this is a conversation you won’t want to miss.

At KubeCon 2026, Pete and John sit down with Myles Gray, Product Marketing Engineer at Broadcom, to talk about what enterprises often underestimate when adopting Kubernetes. Myles shares lessons learned from years of working directly with Kubernetes platforms, platform engineering teams, and enterprise customers trying to move from experimentation into real production environments. The conversation dives into the operational realities of Kubernetes — including long-term maintenance, upgrades, GitOps workflows, CI/CD pipelines, open source integrations, security scanning, and why the ecosystem around Kubernetes matters just as much as Kubernetes itself.

They also explore concepts like “golden paths to production,” Argo CD, Harbor, OpenTelemetry, container image security, Cloud Native Buildpacks, and how organizations can standardize application delivery without creating hundreds of fragmented deployment pipelines.

If you’re trying to understand how enterprises are operationalizing Kubernetes at scale — and why platform engineering is becoming so important — this conversation is packed with practical insights.

VMware Cloud Foundation 9.1 brings major updates to vSphere, and in this episode of the Virtually Speaking Podcast, Pete Flecha and John Nicholson sit down with Feidhlim O’Leary for a deeper technical look at what’s new.

The conversation explores how vSphere 9.1 improves lifecycle management, streamlines firmware and driver updates, enhances VM management, and expands memory tiering capabilities introduced in earlier releases. Feidhlim also shares insights into observability improvements, operational simplification, and the types of day-to-day enhancements that practitioners will immediately appreciate.

From certificate management and lifecycle automation to performance optimization and hardware enablement, this episode focuses on the practical operational improvements that make vSphere 9.1 one of the most substantial platform releases in recent years.

If you’re running VMware Cloud Foundation or vSphere environments at scale, this is a great technical overview of the updates infrastructure teams should know about. #VMware #vSphere #VCF #VMwareCloudFoundation #virtuallyspeakingpodcast

 

Links Mentioned
What’s New with vSphere in VMware Cloud Foundation 9.1?

https://blogs.vmware.com/cloud-foundation/2026/05/12/whats-new-with-vsphere-9-1/

 

VMware vCenter Virtual Hardware Gets an Upgrade in vSphere with VCF 9.1

https://blogs.vmware.com/cloud-foundation/2026/05/12/vcenter-virtual-hardware-upgrade/

 

Non-Disruptive VMware vCenter Patching in VMware Cloud Foundation 9.1

https://blogs.vmware.com/cloud-foundation/2026/05/12/vcenter-quick-patch/

Tigera is the creator of Calico, one of the most widely deployed Kubernetes networking and security platforms in the world, powering millions of Kubernetes nodes globally. In this conversation, Ratan explains why enterprise customers are demanding more advanced networking, observability, and microsegmentation capabilities for modern Kubernetes environments — especially as AI workloads continue to grow.

The discussion covers Calico integration with VMware Kubernetes Service, platform engineering, service mesh, encryption, multi-cluster networking, and how organizations can simplify Kubernetes operations while improving security and performance. They also dive into one of the hottest topics at KubeCon: AI agents. Ratan shares how Tigera is thinking about agent governance, observability, authorization, and securing autonomous AI workloads across hybrid environments.

If you’re building modern Kubernetes platforms, securing AI infrastructure, or operating cloud native applications at scale, this is a conversation you won’t want to miss.

At KubeCon 2026, Pete Flecha and Jad El-Zein sat down with Mark Lewis, VP of Application Services at Canonical, to discuss the growing partnership between Canonical and Broadcom.

The conversation explores how enterprises are simplifying cloud native adoption with chiseled containers, reducing operational overhead, improving security posture, and accelerating AI initiatives inside private cloud environments. Mark shares how Canonical is helping organizations move faster with production-ready, audit-ready container images, while VMware Cloud Foundation provides the operational platform enterprises already trust.

They also dive into GPU-optimized AI images, Kubernetes operational simplicity, telco use cases, and why making AI infrastructure consumable is one of the biggest challenges organizations face today.

If you’re interested in Kubernetes, AI infrastructure, platform engineering, private cloud, or operational simplicity at scale, this is a great conversation from the KubeCon show floor.