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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