FlashLoop exploits cross-loop redundancy to speed up Looped Transformers by 1.65x
KyeGomezB · x · 2026-09-26
- Looped Transformers enable deeper computation without more parameters, but every extra loop adds compute and KV cache cost.
- The authors find only a small fraction of features actually change across loops, identifying three types of computational redundancy that can be exploited for faster inference.
- Results: 1.65x lower latency and 6x less memory.
- Open sourced, installable via pip install flashloop.
Related event: FlashLoop Speeds Up Looped Transformers by Exploiting Cross-Loop Redundancy(2 posts)→
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