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Kubernetes Orchestration for AI Workloads: How to Optimize It - Episode 6

Offered By: Canonical Ubuntu via YouTube

Tags

Kubernetes Courses Artificial Intelligence Courses Data Science Courses Machine Learning Courses Cloud Computing Courses Orchestration Courses Observability Courses

Course Description

Overview

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Explore Kubernetes orchestration for AI workloads in this informative 38-minute video from Canonical Ubuntu. Dive into the intricacies of optimizing Kubernetes usage for cloud-native AI applications and discover how the Kubernetes orchestrator can simplify a data scientist's workflow. Join Pedro Oliveira from Spectrocloud as he discusses the future of Kubernetes in AI, addressing topics such as AI skills shortage, networking, observability, customer demands, and sustainability. Gain valuable insights into the role of Kubernetes in AI use cases and learn how to maximize its potential for your AI projects.

Syllabus

Intro
What is Spectre Cloud
AI on Kubernetes
AI skills shortage
Kubernetes for data scientists
Kubernetes and networking
Kubernetes observability
What do customers want
Lack of education
AI adoption
Orchestration for AI
Sustainability
Outro


Taught by

Canonical Ubuntu

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