Skip to main content

AI for Linux on IBM Z and LinuxONE applications and examples

A draft IBM Redpaper publication

thumbnail 

Last updated on 22 May 2025

  1. .PDF (2.5 MB)

Share this page:   

IBM Form #: REDP-5756-00


Authors: Lydia Parziale, Jasmeet Bhatia, Shrirang Kulkarni, Anna Shugol, Abraham Varghese, Markus Wolff and Kelly Yang

menu icon

Abstract

Ever wonder how AI could turbocharge your enterprise without compromising on security or flexibility? Explore the realm of AI for Linux on IBM Z and LinuxONE and jump start your AI projects by exploring the potential of using LinuxONE as a robust platform for developing and deploying AI applications.

This IBM Redbooks publication is a practical guide that will provide real examples and use cases to demonstrate how to leverage the efficiency and security of Linux on IBM Z and LinuxONE to accelerate your AI journey and AI initiatives. It will also assist readers in gaining an understanding of where the entry points are and what steps are involved in deploying an AI application.

This IBM Redbooks publication gives you a front-row seat to how AI can solve big problems and drive innovation on some of the most powerful hardware out there and includes the following topics:

Chapter 1, "Introduction: The convergence of AI and enterprise Linux systems" on page 1

Chapter 2, "Optimized Model Serving Solutions" on page 9

Chapter 3, "Building enterprise ready AI applications at scale" on page 23

Chapter 4, "Bringing it all together with the use cases" on page 37

Whether you're a developer, a business owner, or just curious about the future, this IBM Redbooks publication provides the information on how implementing AI in your enterprise can solve big problems and drive innovation on some of the most powerful hardware out there.

Throughout this publication, we will refer to Linux on IBM Z and LinuxONE simply as Linux, since both run on the s390x architecture

Table of Contents

Chapter 1. Introduction: The convergence of AI and enterprise Linux systems

Chapter 2. Optimized Model Serving Solutions

Chapter 3. Building enterprise ready AI applications at scale

Chapter 4. Bringing it all together with the use cases

 

Special Notices

The material included in this document is in DRAFT form and is provided 'as is' without warranty of any kind. IBM is not responsible for the accuracy or completeness of the material, and may update the document at any time. The final, published document may not include any, or all, of the material included herein. Client assumes all risks associated with Client's use of this document.