bentoml/llm-inference-handbook
Everything you need to know about LLM inference
LLM Inference Handbook
What it is – This repository hosts the source files for the LLM Inference Handbook, a web‑based guide that explains how to understand, optimise, scale, and operate large‑language‑model (LLM) inference systems.
How it works – The content is written in Markdown and built with Docusaurus, a static‑site generator. The site uses the Modular design language system for styling. You can run the handbook locally by installing the Node‑based dependencies with pnpm, then starting the development server (pnpm start). The same commands let you build a production version (pnpm build) and serve it (pnpm serve).
Why it matters – Running LLMs in production involves many practical challenges (hardware selection, batching, quantisation, caching, latency budgeting, etc.). This handbook consolidates best‑practice advice and optimisation techniques in one place, making it easier for engineers and ops teams to set up reliable inference pipelines.
Who it’s for – Engineers, data scientists, and site‑reliability professionals who need to deploy LLMs at scale. The material assumes some familiarity with LLM concepts but is written to be approachable without deep research‑paper knowledge.
How to get involved – The repo welcomes contributions: you can open issues, suggest edits, or submit pull requests to improve the guide.
Licensing – The documentation (docs/ folder) is released under a Creative Commons Attribution 4.0 International license, while the rest of the repository (build scripts, configuration, etc.) is under the Apache 2.0 license.
All details are taken directly from the repository’s README.