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Implementing AI on Power11: Introducing the IBM Spyre Accelerator

An IBM Redbooks publication

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Published on 30 March 2026

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ISBN-10: 0738462578
ISBN-13: 9780738462578
IBM Form #: SG24-8592-00


Authors: Tim Simon, Harshitha C, Anjil Reddy Chinnapatlolla, Ricardo Contreras, Florian Dahlitz, Abdul Haleem, Blake Hoskinson, Bijay Dev K M, Henrik Mader, Manish Mukul, Arnold Ness, Nnamdi Okore-Affia II, Praveen Kumar Pandey, Manvanthara Puttashankar, Daniel Schenker, Vaibhav Shandilya, David Spurway, Rajalakshmi Srinivasaraghavan, Borislav Stoymirski, Henry Vo and Jack Woehr

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    Abstract

    This IBM Redpaper publication presents the IBM® next-generation platform for enterprise artificial intelligence (AI) and shows how IBM Power11 strengthens on-chip acceleration, system design, and hybrid AI deployment. It outlines key AI concepts and industry trends, which emphasize the need for secure, high-performance inference close to mission-critical data.

    A major highlight is IBM Spyre™ PCIe Gen5 x16 AI Accelerator Adapter (IBM Spyre Accelerator), which is a new reduced-power Peripheral Component Interconnect Express (PCIe) accelerator that is designed for scalable AI inference. With a highly parallel architecture and support for modern AI numerics, Spyre enables efficient running of large language models (LLMs), embedding, retrieval-augmented generation (RAG), and other enterprise AI workloads. Integrated with Red Hat AI and vLLM, it delivers on-premises AI with predictable performance and data-sovereign control.

    The publication also addresses end-to-end lifecycle requirements, such as security, governance, machine learning operations (MLOps), and industry use cases, and shows how Power11 and Spyre support regulated, data-intensive environments. Combined with IBM's broader software and open-source ecosystem, the platform provides a complete blueprint for deploying enterprise-grade AI on IBM Power.

    Table of Contents

    Chapter 1. Introducing artificial intelligence on IBM Power11

    Chapter 2. Use cases and industry applications

    Chapter 3. On-chip acceleration

    Chapter 4. IBM Spyre Accelerator

    Chapter 5. Artificial intelligence workload optimization on IBM Power11

    Chapter 6. Artificial intelligence and security

    Chapter 7. Tools, frameworks, and ecosystem