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What Google's TurboQuant Does and Why It Actually Matters

This story is from 2026-10-04. It is preserved in the archive; the latest stories are on the live feed.

The numbers are absurd. For one user running a single Llama-3.1-8B model at 128,000 tokens of context, the KV cache alone chews up 16 gigabytes of VRAM. On a GPU that might have 24GB total. That leaves almost nothing for the actual model weights. This is not a hypothetical problem. This is what run…

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  1. 2026-10-04 09:08 · DEV Community — AI
    What Google's TurboQuant Does and Why It Actually Matters

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