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Optimizing ML Workloads on Kubernetes

Offered By: Canonical Ubuntu via YouTube

Tags

Kubernetes Courses Machine Learning Courses DevOps Courses Cloud Computing Courses Open Source Courses Kubernetes Operators Courses

Course Description

Overview

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Discover how to optimize machine learning workloads on Kubernetes in this informative webinar. Explore the challenges of running AI on Kubernetes and learn effective scheduling techniques for ML workloads. Understand why Kubernetes is an ideal platform for AI projects and how to leverage operators and schedulers for faster project delivery. Gain insights into taking ML projects to production using open-source solutions. Delve into topics such as enhancing experimentation, workflow management, and ensuring high availability while handling resource-intensive AI workloads. Learn strategies to improve resource utilization and make AI/ML projects more efficient on Kubernetes.

Syllabus

Optimise your ML workloads on Kubernetes


Taught by

Canonical Ubuntu

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