
LLM-D, with Clayton Coleman and Rob Shaw
From Kubernetes Podcast from Google by Abdel Sghiouar, Kaslin Fields
August 20, 2025 · 53 min · Episode 258
About this episode
The episode features Clayton Coleman and Rob Shaw discussing Kubernetes, AI/ML workloads, and the vLLM project.
Guests are Clayton Coleman and Rob Shaw. Clayton is a Core contributor to Kubernetes, the containerized cluster manager, and founding architect for OpenShift, the open source platform as a service. Clayton helped launch the shift to cloud native applications and the platforms that enable them. At Google my mission is to make Kubernetes and GKE the best place to run workloads, especially accelerated AI/ML workloads, and especially especially very large model inference at scale with the inference gateway and llm-d. Rob Shaw is an Engineering Director at Redhat and is a contributor to the vLLM project. Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod - bluesky: @kubernetespodcast.com News of the week Kubernetes 1.34 is expected to release end of August Kubecrash.io: A platform Eng conference with a purpose CNCF top 30 project of 2025 Links from the interview LLM-D KubeCon EU 25 Keynote: LLM-Aware Load Balancing in Kubernetes WG Serving vLLM Disaggregated Prefilling LWS: LeaderWorkerSet
People in this episode
Hosts: Abdel Sghiouar, Kaslin Fields
Guests: Clayton Coleman, Rob Shaw
Topics covered
- Kubernetes
- AI/ML workloads
- cloud native applications
- vLLM project
- KubeCon EU
Keywords
- Kubernetes
- AI
- ML
- vLLM
- cloud native
- OpenShift
- GKE
- KubeCon
Mentioned in this episode
Organizations: Kubernetes, OpenShift, Google, Redhat, vLLM
Products: GKE, LLM-D, Kubecrash.io
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