How Alibaba Extends K8s Scheduler to Support AI and Big Data Workloads
CNCF [Cloud Native Computing Foundation] via YouTube
Overview
Coursera Spring Sale
40% Off Coursera Plus Annual!
Grab it
Explore how Alibaba extends Kubernetes scheduler to support AI and big data workloads in this 56-minute Chinese-language webinar. Gain insights into the development of Kubernetes Scheduling Framework and learn best practices for supporting complex workloads like AI/ML and heterogeneous resources such as GPUs. Discover implementation techniques for job-level scheduling policies, including Coscheduling/Gang scheduling and Capacity scheduling. Understand the latest progress and future development direction of Kubernetes scheduler, learn from Alibaba Cloud's extended scheduler supporting job-level scheduling, and gain knowledge to build your own Scheduling Framework plugin. Join presenters Zhang Kai and Wang Qingcan from Alibaba as they share their expertise in extending Kubernetes scheduling capabilities for advanced workloads.
Syllabus
Webinar: How Alibaba Extends K8s scheduler to support AI and big data workloads
Taught by
CNCF [Cloud Native Computing Foundation]