KubeCon + CloudNativeCon China 2025

Training massive AI models at scale is tough—but doing it efficiently in Kubernetes is even tougher. In this keynote, we’ll share how iFlytek tackled key challenges in large-scale model training, including low GPU utilization, fragile workflows, and resource contention across teams. By leveraging Volcano, they boosted GPU usage by over 40%, and cut failure recovery time by 70%. This talk offers a quick but powerful look at how intelligent scheduling and orchestration can unlock performance, reliability, and fairness in multi-tenant AI platforms.