The Big Red Book of AI on IBM Mainframe

The cloud promised agility, but AI demands sovereignty. For decades, the IBM mainframe has been the undisputed anchor of the global financial system. Today, as Artificial Intelligence transitions from experimental chatbots to mission-critical enterprise logic, the "Big Iron" is reclaiming its position at the center of the architecture. Mainframe-Integrated AI provides the definitive blueprint for the "Great Re-Centralization." It moves beyond the hype of public cloud LLMs to show how organizations can build, deploy, and govern high-performance AI next to their most sensitive data directly on z/OS and zLinux. Inside this guide, you will discover: The Telum Advantage: How to leverage on-chip AI acceleration for real-time inference within the transaction path. The Sovereign Stack: Architecting vLLM and Red Hat OpenShift on IBM Z to eliminate data egress and high-latency API calls. Legacy Intelligence: Practical patterns for injecting AI reasoning into COBOL, CICS, and IMS environments. The Agentic Cage: A strategic framework for deploying autonomous AI agents within a mainframe-grade security and RACF Zero-Trust boundary. Resilient Intelligence: Extending GDPS and high-availability concepts to the AI lifecycle, from vector databases to prompt registries. Whether you are a systems programmer looking to modernize your skill set or an enterprise architect securing the next sixty years of computing, this book proves that the mainframe isn't just a participant in the AI revolution; it is the governance anchor that makes it possible.