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Simplify AI Infrastructure with Kubernetes Operators

Offered By: CNCF [Cloud Native Computing Foundation] via YouTube

Tags

Kubernetes Courses Machine Learning Courses LLM (Large Language Model) Courses Cluster Management Courses

Course Description

Overview

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Explore how Kubernetes Operators can simplify and automate AI infrastructure management in this 40-minute conference talk from the Cloud Native Computing Foundation (CNCF). Learn about the challenges of running ML applications on Kubernetes and discover how operators can streamline cluster lifecycle management, hardware configuration, and deep learning model deployments. Watch a demonstration of fine-tuning an LLM workload using existing operators like the GPU Operator and Kubernetes AI Toolchain Operator. Gain insights into best practices and challenges of implementing operators in production environments. This talk, presented by Ganeshkumar Ashokavardhanan from Microsoft and Tariq Ibrahim from NVIDIA, offers valuable knowledge for Kubernetes users looking to optimize their AI infrastructure.

Syllabus

Simplify AI Infrastructure with Kubernetes Operators - Ganeshkumar Ashokavardhanan & Tariq Ibrahim


Taught by

CNCF [Cloud Native Computing Foundation]

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