Synopsis
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 combine 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 how to deploy LLMs more efficiently with optimized inference runtimes
- Get hands-on with GPU scheduling, including hardware detection and multinode scaling
- Monitor and understand LLM-specific metrics like Time to First Token and token throughput
- Know when to fine-tune a model or when retrieval augmentation is the better choice
- Discover how to evaluate models with standardized benchmarks before committing GPU resources
- Learn to run agentic applications with secure tool integration, identity management, and persistent state
"synopsis" may belong to another edition of this title.
About the Authors
Dr. Roland Huss is a seasoned software engineer with over 25 years of experience in the field. Currently working at Red Hat, he is the architect of OpenShift Serverless and a former member of the Knative TOC. Roland is a passionate Java and Golang coder and a sought-after speaker at tech conferences. An advocate of open source, he is an active contributor and enjoys growing chili peppers in his free time.
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 this title" may belong to another edition of this title.
Search results for Generative AI on Kubernetes: Operationalizing Large...
Seller Image
Generative Ai on Kubernetes : Operationalizing Large Language Models
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 51054834-n
Seller Image
Generative AI on Kubernetes: Operationalizing Large Language Models (Paperback or Softback)
Published by
O'Reilly Media 4/7/2026, 2026
ISBN 10: 1098171926
ISBN 13: 9781098171926
New
Paperback or Softback
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Seller rating 5 out of 5 stars
Paperback or Softback. Condition: New. Generative AI on Kubernetes: Operationalizing Large Language Models. Book. Seller Inventory # BBS-9781098171926
Stock Image
Generative AI on Kubernetes
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # WO-9781098171926
Stock Image
Generative AI on Kubernetes: Operationalizing Large Language Models
Seller: California Books, Miami, FL, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # I-9781098171926
Stock Image
Generative AI on Kubernetes: Operationalizing Large Language Models
Seller: CreativeCenters, Peoria, IL, U.S.A.
Seller rating 5 out of 5 stars
paperback. Condition: New. Seller Inventory # 9781098171926
Seller Image
Generative Ai on Kubernetes : Operationalizing Large Language Models
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 51054834
Seller Image
Generative AI on Kubernetes
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: New. 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
Stock Image
Generative AI on Kubernetes
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # WO-9781098171926
Buy New
US$ 45.19
US$ 7.98 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 15 available
Stock Image
Generative AI on Kubernetes (Paperback)
Published by
O'Reilly Media, Sebastopol, 2026
ISBN 10: 1098171926
ISBN 13: 9781098171926
New
Paperback
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. 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 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781098171926
Stock Image
Generative AI on Kubernetes: Operationalizing Large Language Models (eng)
Seller: Brook Bookstore On Demand, Napoli, NA, Italy
Seller rating 3 out of 5 stars
Condition: new. Seller Inventory # SGEUNC3VSO
Buy New
US$ 52.48
US$ 8.00 shipping
Ships from Italy to U.S.A.
Ships from Italy to U.S.A.
Quantity: Over 20 available