Modular releases an LLM inference handbook covering batching, caching, and GPU deployment
kalyan_kpl · x · 2026-07-26
Modular publishes an LLM Inference Handbook
The handbook is positioned as a technical glossary, guidebook, and reference for LLM inference. It covers core concepts, performance metrics such as time to first token and tokens per second, and optimization techniques including continuous batching, prefix caching, GPU architecture, and deployment patterns like BYOC and on-prem.
It is aimed at developers who need practical guidance for deploying, scaling, and operating LLMs in production. The page also highlights interactive tools such as calculators and simulators, plus continuously updated best practices and field-tested insights.
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