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

Linux Foundation

Kubernetes for AI Workloads - What Works and What Doesn't

Linux Foundation via YouTube

Overview

Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
Explore the advantages and challenges of using Kubernetes for AI workloads in this 51-minute Linux Foundation webinar. Discover why Kubernetes has become the top choice for orchestrating AI tasks, and learn how to train deep learning models using Kubernetes and GPUs through practical demonstrations. Gain insights into the limitations of Kubernetes for AI applications and explore solutions to overcome these challenges. Delve into topics such as batch jobs, topology awareness, and the specific needs of research environments. Join Guy Salton from Run:AI for an informative session that covers the fundamentals of Kubernetes in AI, its practical applications, and potential improvements for supporting AI workflows effectively.

Syllabus

Introduction
Poll
What is Kubernetes
Demo
Questions
Demonstration
Jobs
What Doesnt Work
What Kubernetes Needs
Whats Missing
Batch Jobs
Topology Awareness
Other Questions

Taught by

Linux Foundation

Reviews

Start your review of Kubernetes for AI Workloads - What Works and What Doesn't

Never Stop Learning.

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

Someone learning on their laptop while sitting on the floor.