Techstrong TV (DevOps.com)

Why Kubernetes Still Needs VMs — Broadcom on GPUs, Security & the K8s Reality Check

At CubeCon Plus CloudNative Con Europe, Broadcom’s Wu outlined the company’s strategy for keeping Kubernetes workloads tightly coupled with virtual machines. He highlighted Valera, an open‑source backup, disaster‑recovery and migration tool, and reaffirmed that VMware Cloud Foundation (VCF) remains the primary platform for delivering a conformant Kubernetes runtime, while Tanzoo focuses on developer‑centric experiences. Key insights included Broadcom’s push for Dynamic Resource Allocation (DRA) to expose GPU and AI resources through familiar VM‑level constructs, enabling smoother AI inference workloads on Kubernetes. The firm emphasized multi‑cluster, multi‑release support with 24‑month enterprise guarantees, and stressed the importance of integrating existing CI/CD pipelines rather than forcing a wholesale re‑tooling of customer environments. Notable remarks underscored the security depth—"six layers of security from hypervisor to container namespace"—and cited IDC’s forecast that roughly 85% of containers will continue running inside VMs by 2028. Wu also pointed out Broadcom’s standing as a top‑five CNCF contributor, citing projects like Contour, Harbor, and Cluster API as evidence of its open‑source commitment. The convergence of VMs and containers signals that enterprises can achieve higher resource utilization, cost savings, and consistent security postures while retaining flexibility to migrate workloads across any conformant Kubernetes distribution. Broadcom’s integrated stack and open‑source engagement aim to simplify complex, multi‑cloud deployments and accelerate time‑to‑production for AI‑driven applications.