The Sched app allows you to build your schedule but is not a substitute for your event registration. You must be registered for KubeCon + CloudNativeCon China 2025 to participate in the sessions. If you have not registered but would like to join us, please go to the event registration page to purchase a registration.
Please note: This schedule is automatically displayed in Hong Kong Standard Time (UTC+8:00). To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date." The schedule is subject to change and session seating is available on a first-come, first-served basis.
Sign up or log in to add sessions to your schedule and sync them to your phone or calendar.
This issue has plagued Kubernetes for nearly 8 years: K8s issue #52757. The challenge of flexibly sharing GPUs across multiple containers is particularly prominent in AI scenarios, where inference tasks are typically short-lived. As a result, resource utilization becomes a critical concern.
In this talk, we will share solutions and practices for implementing GPU sharing in Kubernetes, focusing on two key projects gaining traction recently: Dynamic Resource Allocation (DRA) and the CNCF sandbox project HAMi. The presentation will cover the following topics:
1. Challenges in GPU sharing.
2. Approaches for sharing AI chips beyond NVIDIA GPUs.
3. How sharing technologies integrate with projects like Volcano, Koordinator, and Kueue.
