Modular Releases LLM Inference Handbook Covering Optimization and Production Deployment
blaizedsouza · x · 2026-08-04
Modular has released the LLM Inference Handbook to address the fragmented knowledge surrounding LLM inference. Targeted at engineers deploying or operating LLMs in production, the handbook consolidates concepts scattered across papers and vendor blogs.
It covers core metrics (e.g., TTFT, Tokens/s), optimization techniques (continuous batching, prefix caching), GPU architecture, and deployment patterns. It clarifies critical distinctions like why goodput matters more than raw throughput for meeting SLOs, and includes interactive calculators to help developers optimize for speed, cost, and reliability.
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