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Generative AI on Kubernetes
book

Generative AI on Kubernetes

by Roland Huß, Daniele Zonca
February 2026
Intermediate to advanced
406 pages
11h 42m
English
O'Reilly Media, Inc.
Content preview from Generative AI on Kubernetes

About the Authors

Dr. Roland Huß is a Distinguished Engineer at Red Hat with over 25 years of programming experience. Currently architecting platforms that enable developers to integrate AI services on Kubernetes, he previously led OpenShift Serverless and served on the Knative Technical Oversight Committee. Roland is the creator of Jolokia and popular developer tools for Kubernetes. He is the coauthor of Kubernetes Patterns. An advocate of open source, Roland is a frequent speaker at tech conferences and enjoys growing chili peppers in his free time.

Daniele Zonca is a Chief Architect at Red Hat AI Engineering, responsible for the technical vision and strategy of Red Hat AI offerings on Kubernetes environments. He is a founder of the TrustyAI project, which provides AI safety and trustworthiness capabilities for predictive and generative AI deployments. Daniele actively contributes to open source projects, including KServe, vLLM, llm-d, and Kubeflow. Before joining Red Hat, he led the Big Data development team at UniCredit, where he designed and implemented large-scale analytical engines. He is passionate about making AI accessible, safe, and reliable for enterprise deployments, and is a frequent speaker at tech conferences.

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Publisher Resources

ISBN: 9781098171919Errata Page