Generative AI on Kubernetes: Operationalizing Large Language Models
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Generative AI on Kubernetes: Operationalizing Large Language Models

by Roland Huss, Daniele Zonca

Machine Learning Generative AI Kubernetes
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Generative AI on Kubernetes examines how to operationalize large language models with Kubernetes. Roland Huss and Daniele Zonca focus on the infrastructure and deployment considerations involved in running generative AI workloads, offering a practical technology guide for readers building cloud-native AI systems.

About This Book

Generative AI on Kubernetes explores the operational side of running large language models in Kubernetes environments.

The book focuses on moving generative AI applications from experimentation toward reliable, repeatable deployment.

It addresses the relationship between modern AI workloads and Kubernetes-based infrastructure.

Designed for readers working with cloud-native systems, the book provides a technology-focused perspective on operationalizing large language models.

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I will be using this book for: