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

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 ...