Generative AI on Kubernetes Operationalizing Large Language Models | 7.32 MB
Title: Generative AI on Kubernetes (for . .)
Author: Roland Huss and Daniele Zonca
Category: Nonfiction, Computers, Advanced Computing, Engineering, Neural Networks, Natural Language Processing, Artificial Intelligence
Language: English | 406 Pages | ISBN: 9781098171889
Description:
Generative AI is revolutionizing industries, and Kubernetes has fast become the backbone for deploying and managing these resource-intensive workloads. 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. 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.
Generative AI is revolutionizing industries, and Kubernetes has fast become the backbone for deploying and managing these resource-intensive workloads. 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. 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.
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