In this episode of the Kubernetes podcast, the hosts dive into the exciting news about Google Kubernetes Engine (GKE) now supporting clusters with up to 65,000 nodes—an impressive jump from the previous limit of 15,000. This boost in scalability is largely driven by the growing demands of AI training and inference workloads, which require substantial computing power and seamless integration between tasks. Achieving this milestone involved numerous enhancements across various Kubernetes components and APIs, many of which have been contributed back to the open-source community, benefiting all users with improved performance and reliability, not just those operating at large scales. The speakers also highlight the value of attending KubeCon to explore these advancements further and connect directly with the engineers behind them.
