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Stop Guessing Your Context Budget: Practical KV Cache Sizing for Local LLMs

This story is from 2026-10-29. It is preserved in the archive; the latest stories are on the live feed.

You set a 32K context, the weights fit in VRAM, and the model still refuses to load. Or it loads, and generation crawls because the card is one allocation away from paging. The culprit is almost never the model file. It is the KV cache: the per-token key and value tensors that every attention layer…

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  1. 2026-10-29 05:03 · DEV Community — AI
    Stop Guessing Your Context Budget: Practical KV Cache Sizing for Local LLMs

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