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A comprehensive guide to using AI with IBM i

AI with IBM i

Welcome to the guide for using AI with IBM i — a practical resource for developers, architects, and administrators who want to bring AI capabilities to IBM i workloads.

What you’ll find here

Section titled “What you’ll find here”

This guide is organized around the questions practitioners actually ask:

  • Why AI with IBM i? — The case for applying AI to your existing IBM i data and applications
  • Choosing an AI Stack — A comparison of the platforms and tools available, from IBM-native to open source
  • AI Hardware — How IBM Power hardware accelerates AI workloads on-premises
  • Use Cases — Practical journeys for Machine Learning, Deep Learning, Generative AI, Agentic AI, and Developer Experience
  • Integrations — How to connect AI platforms to Db2 for i data, stream transactions, and call AI from IBM i applications
  • Solutions — Profiles of specific products and platforms, with capability report cards

Where to start

Section titled “Where to start”

If you’re new, start with Why AI with IBM i? for context, then Choosing an AI Stack to understand your options.

If you have a specific use case in mind, jump directly to the relevant journey or integration page from the sidebar.

Note: This guide is actively being developed. Some sections are more complete than others. Contributions and feedback are welcome via the GitHub link in the header.