Coursera Plus Annual is 40% Off — Ends June 29.

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

CNCF [Cloud Native Computing Foundation]

Kubernetes Native Two-Level Resource Management for AI-ML Workloads

CNCF [Cloud Native Computing Foundation] via YouTube

Start learning Write review
DataCamp Ad

PowerBI Data Analyst - Create visualizations and dashboards from scratch

Learn More → Boot.dev Ad

The Most Addictive Python and SQL Courses

Learn More →

Overview

AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Explore resource management of AI/ML workloads in Kubernetes environments and discover how two-level resource management using Multi-Cluster App Dispatcher addresses key challenges. Join Diana Arroyo, Software Engineer at IBM Research, and Alaa Youssef, Manager of Container Cloud Platform at IBM Research, for a 46-minute webinar hosted by the Cloud Native Computing Foundation (CNCF). Gain insights into effective strategies for managing resources in Kubernetes-based setups, particularly for AI and machine learning applications, and learn how the Multi-Cluster App Dispatcher can optimize your workflow.

Syllabus

Webinar: Kubernetes native two-level resource management for AI/ML workloads

Taught by

CNCF [Cloud Native Computing Foundation]

Reviews

Start your review of Kubernetes Native Two-Level Resource Management for AI-ML Workloads

Start learning

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.