LLM Inference in Production: The Definitive Guide

This handbook tackles the fragmented knowledge surrounding LLM inference in production. It covers core concepts, performance metrics (like Time to First Token and Tokens per Second), optimization techniques (continuous batching, prefix caching), and operational best practices. Whether you're fine-tuning a small open model or running large-scale deployments, this guide helps make LLM inference faster, cheaper, and more reliable.