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Learning path

NVIDIA GPU Operator for Kubernetes

Skill Level
Introductory
Duration 40 minutes
Updated May 7, 2026

About this learning path

This is a learning path for the introduction of the deployment and lifecycle of AI infrastructure. Explore the NVIDIA GPU Operator, a Kubernetes-native tool that automates driver installation, container runtimes, and device plugins. Perfect for DevOps engineers aiming to streamline high-performance, GPU-accelerated clusters at scale.

Your instructors

Chris NugentWorld Wide TechnologyTech Solutions Arch III, ATC

Prerequisites

  1. Fundamental understanding of Kubernetes
  2. Familiarity with Linux CLI

What you'll learn

  1. What the NVIDIA GPU Operator is and does
  2. How the NVIDIA GPU Operator is installed on Kubernetes using Helm
  3. How the NVIDIA GPU Operator is install on Openshift using the Operatorhub
  4. How to make modifications to NVIDIA GPU Operator tailored to your environment
Learning path
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NVIDIA GPU Operator for Kubernetes
  1. 1. Introduction to the NVIDIA GPU Operator
    1. Enroll in this learning path to view locked contentIntroduction to the NVIDIA GPU Operator
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  2. 2. Deploying the NVIDIA GPU Operator on Kubernetes
    1. Enroll in this learning path to view locked contentNVIDIA GPU Operator PreReqs and Concepts
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    2. Enroll in this learning path to view locked contentNVIDIA GPU Operator Kubernetes Install
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    3. Enroll in this learning path to view locked contentNVIDIA GPU Operator Deploy GPU Workloads
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    4. Enroll in this learning path to view locked contentNVIDIA GPU Operator Time Slicing
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    5. Enroll in this learning path to view locked contentNVIDIA GPU Operator MIG Paritions
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  3. 3. Deploying the NVIDIA GPU Operator on Openshift
    1. Enroll in this learning path to view locked contentInstallation of NVIDIA GPU Operator on Openshift
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  4. 4. Conclusion
    1. Enroll in this learning path to view locked contentQuiz
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    2. Enroll in this learning path to view locked contentLearning Path Complete
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