KubeCon + CloudNativeCon Europe 2025

AIML Workloads are getting bigger. For large scale training jobs we need Kubernetes clusters that can scale to sizes beyond what has been possible until now. In this demonstration we will showcase what it takes to scale Kubernetes to up to 65,000 nodes. We will also look at open source tools like Kueue and how Kueue efficiently manages a wide range of AI workload scenarios within a large, hypothetical AI company, running their AI workload on a 65,000-node Google Kubernetes Engine (GKE) cluster. We'll showcase Kueue's capabilities in handling train/inference fungibility, priority-based preemption, fair sharing, and topology-aware scheduling, providing insights into its effectiveness at this massive scale.

In order to facilitate networking and business relationships at the event, you may choose to visit a third party’s booth or access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth or participating in sponsored activities, the third party will receive some of your registration data. This data includes your first name, last name, title, company, address, email, standard demographics questions (i.e. job function, industry), and details about the sponsored content or resources you interacted with. If you choose to interact with a booth or access sponsored content, you are explicitly consenting to receipt and use of such data by the third-party recipients, which will be subject to their own privacy policies.