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Cover of AI for Linux on IBM Z and LinuxONE Applications and Examples

AI for Linux on IBM Z and LinuxONE Applications and Examples

Written by IBM Redbooks,Shrirang Kulkarni,Anna Shugol,Lydia Parziale,Abraham Varghese,Jasmeet Bhatia,Markus Wolff,Kelly Yang

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68 pages, about 82 minutes of reading

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About this book

You can accelerate your enterprise without compromising on security or flexibility. Use artificial intelligence (AI) for Linux on IBM Z® and LinuxONE to jump start your AI projects on a robust platform for developing and deploying AI applications. This IBM Redbooks® publication is a practical guide with real examples and use cases to help you use the efficiency and security of Linux on IBM Z and LinuxONE to accelerate your AI journey. It also helps you understand the entry points and steps that are involved in deploying an AI application. This IBM Redbooks publication shows you how AI can solve complex problems and drive innovation on some of the most powerful hardware available and includes the following topics: Chapter 1, “Introducing the convergence of artificial intelligence and enterprise Linux systems” on page 1 Chapter 2, “Optimizing model serving solutions” on page 9 Chapter 3, “Building enterprise-ready artificial intelligence applications at scale” on page 23 Chapter 4, “Bringing it all together with the use cases” on page 37 Whether you are a developer, a business owner, or simply curious about the future, this IBM Redbooks publication helps you understand how implementing AI in your enterprise can solve complex problems and drive innovation on powerful hardware. Throughout this publication, Linux on IBM Z and LinuxONE are referred to as Linux because they both run on the s390x architecture.

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Reading guide

Themes, characters and key ideas in AI for Linux on IBM Z and LinuxONE Applications and Examples, written by Chaptra AI.

  • about 8 hours
  • advanced
  • Informative
  • Practical
  • Technical

This IBM Redbooks publication serves as a practical guide for enterprises looking to leverage Artificial Intelligence (AI) on IBM Z and LinuxONE platforms. It outlines how these robust systems offer unparalleled security, flexibility, and scalability for developing and deploying AI applications. The book provides real-world examples and use cases, guiding readers through the essential steps and entry points for integrating AI into their enterprise infrastructure. Ultimately, it aims to accelerate the AI journey for businesses by demonstrating how to solve complex problems and drive innovation on powerful hardware.

You can accelerate your enterprise without compromising on security or flexibility.

Key themes

Enterprise AI Adoption and Acceleration
This theme explores the strategic imperative for businesses to integrate and scale AI solutions, emphasizing how IBM Z and LinuxONE can expedite this process. It focuses on practical steps and considerations for organizations to move from AI concept to deployment efficiently and securely.
Practical Implementation and Use Cases
The book emphasizes a hands-on, application-oriented approach, moving beyond theoretical discussions to provide concrete examples and real-world scenarios. This theme underscores the book's utility as a 'how-to' guide for deploying AI on the specified platforms.
Security and Compliance in AI
A core theme emphasizing the inherent security advantages of the IBM Z and LinuxONE platforms, crucial for handling sensitive data and ensuring regulatory compliance in AI applications. It addresses how these platforms mitigate risks associated with AI deployment.

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What are the key advantages of deploying AI workloads on IBM Z and LinuxONE compared to other platforms, particularly concerning security and scalability?

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