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Mixed‑precision routing speeds up attention prefill

This story is from 2026-09-05. It is preserved in the archive; the latest stories are on the live feed.

TileMix doubles prefill throughput while leaving the model untouched. The speedup comes from routing attention‑score tiles to INT8 Tensor Cores instead of running everything in FP16. By keeping the dense connectivity graph intact, the method avoids any retraining or architectural tweaks. “TileMix i…

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  1. 2026-09-05 05:00 · DEV Community — Machine Learning
    Mixed‑precision routing speeds up attention prefill

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