Generative AI on Kubernetes
Language: English
Published by O'Reilly Media, US, 2026
- Softcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
£ 46.79
Quantity: 3 available
Add to basketItem description from seller
Generative AI is revolutionizing industries, and Kubernetes has fast become the backbone for deploying and managing these resource-intensive workloads. This book serves as a practical, hands-on guide for MLOps engineers, software developers, Kubernetes administrators, and AI professionals ready to unlock AI innovation with the power of cloud native infrastructure. Authors Roland Huss and Daniele Zonca provide a clear road map for training, fine-tuning, deploying, and scaling GenAI models on Kubernetes, addressing challenges like resource optimization, automation, and security along the way.With actionable insights with real-world examples, readers will learn to tackle the opportunities and complexities of managing GenAI applications in production environments. Whether you're experimenting with large-scale language models or facing the nuances of AI deployment at scale, you'll uncover expertise you need to operationalize this exciting technology effectively.Learn to run GenAI models on Kubernetes for efficient scalabilityGet techniques to train and fine-tune LLMs within Kubernetes environmentsSee how to deploy production-ready AI systems with automation and resource optimizationDiscover how to monitor and scale GenAI applications to handle real-world demandUncover the best tools to operationalize your GenAI workloadsLearn how to run agent-based and AI-driven applications.…
Seller Inventory # LU-9781098171926
- Title
- Generative AI on Kubernetes
- Author
- Roland Huss, Daniele Zonca
- Publisher
- O'Reilly Media, US
- Publication year
- 2026
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1098171926
- ISBN 13
- 9781098171926
- Item weight
- 644 grams
- Dimensions
- 17.78 x 5.08 x 23.34 cm
With actionable insights with real-world examples, readers will learn to tackle the opportunities and complexities of managing GenAI applications in production environments. Whether you're experimenting with large-scale language models or facing the nuances of AI deployment at scale, you'll uncover expertise you need to operationalize this exciting technology effectively.
- Learn to run GenAI models on Kubernetes for efficient scalability
- Get techniques to train and fine-tune LLMs within Kubernetes environments
- See how to deploy production-ready AI systems with automation and resource optimization
- Discover how to monitor and scale GenAI applications to handle real-world demand
- Uncover the best tools to operationalize your GenAI workloads
- Learn how to run agent-based and AI-driven applications
"Synopsis" may belong to another edition of this title.
About the Author
Daniele Zonca is a Senior Principal Software Engineer and Architect for model serving of Red Hat OpenShift AI, Red Hat's flagship AI product combining multiple stacks.
"About the title" may belong to another edition of this title.
Rarewaves.com USA
London, London, United Kingdom
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