Generative AI on Kubernetes (Final) by Roland Huß (.ePUB)
File Size: 10 MB
Generative AI on Kubernetes: Operationalizing Large Language Models (Final Release) by Roland Huß, Daniele Zonca
Requirements: .ePUB reader, 10 MB
Overview: 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. This book is designed for MLOps practitioners, operational folks tasked with running AI workloads at scale in production, and architects who need to understand the unique architectural constraints of managing large AI workloads. The goal is to provide these professionals with practical insights and tools to operationalize generative AI effectively on Kubernetes. This book assumes you have a basic understanding of Kubernetes. It is not an introduction to Kubernetes, and some familiarity with its concepts and features is required.
Genre: Non-Fiction > Tech & Devices
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