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£44.87

O'Reilly Hands-On LLM Serving and Optimization: Hosting LLMs at Scale

Name: Hands-On LLM Serving and Optimization: Hosting LLMs at Scale
Brand: O'Reilly
Price: 44.87 GBP
Availability: InStock

AI & Machine Learning

About as cheap as it gets. The only time it was cheaper was 1 month ago.

£45 today · all-time low £45 (Jun 2026) · usually £45

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Price range: £45 - £56

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Description

Large language models (LLMs) are rapidly becoming the backbone of AI-driven applications. Without proper optimization, however, LLMs can be expensive to run, slow to serve, and prone to performance bottlenecks. As the demand for real-time AI applications grows, along comes Hands-On Serving and Optimizing LLM Models, a comprehensive guide to the complexities of deploying and optimizing LLMs at scale. In this hands-on book, authors Chi Wang and Peiheng Hu take a real-world approach backed by practical examples and code, and assemble essential strategies for designing robust infrastructures that are equal to the demands of modern AI applications. Whether you're building high-performance AI systems or looking to enhance your knowledge of LLM optimization, this indispensable book will serve as a pillar of your success. Learn the key principles for designing a model-serving system tailored to popular business scenarios Understand the common challenges of hosting LLMs at scale while minimizing costs Pick up practical techniques for optimizing LLM serving performance Build a model-serving system that meets specific business requirements Improve LLM serving throughput and reduce latency Host LLMs in a cost-effective manner, balancing performance and resource efficiency

Product Specifications

Brand: O'Reilly
Format: paperback
ASIN: B0G48JRRMF
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 26 May 2026
Listed Since: 28 November 2025

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O'Reilly Hands-On LLM Serving and Optimization: Hosting LLMs at Scale

About as cheap as it gets. The only time it was cheaper was 1 month ago.

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