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KV-Cache Is the Real Currency of LLM Inference Economics

This story is from 2026-09-24. It is preserved in the archive; the latest stories are on the live feed.

TL;DR — Most teams size LLM serving around FLOPs and tokens-per-second, but the actual constraint is KV-cache memory. Once you model inference as a memory-allocation problem instead of a compute problem, batching cliffs, quantization tradeoffs, and prefix caching all make sense as the same lever pu…

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  1. 2026-09-24 13:15 · DEV Community — AI
    KV-Cache Is the Real Currency of LLM Inference Economics

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