A Hacker's Guide to Slashing LLM Bills

Learn how to analyze production LLM traffic, identify cost‑driving patterns, and configure quantization, caching, batching, and latency settings to reduce expenses.

Overview

Generic benchmarks are useless. The performance of an LLM stack depends entirely on
your specific traffic patterns.
How to decode your workload patterns from production data
How to sort through mess of config optimizations
including reasoning length, cache length, draft model length, quantization level, input/output length caps,
multi-turn aggregation limits, context length limits, quantization value (32 to 1 bit), throughput/latency targets, batching, parallelism
settings, TTFT sensitivity, whole sets of caching and other settings, model slug etc.

from ex-Intel optimization lead

Tech stack