Princeton's ReplaySSM Boosts AI Serving Speed 1.8x by Slashing Memory Traffic

Dao AI Lab and NVIDIA show that caching SSM inputs instead of recurrent state cuts memory traffic and unlocks quantization for hybrid models.

Source

AlphaSignal

Published

Oct 9, 2026, 3:59 PM

Author

AlphaSignal Newsroom

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1 min read

Dao AI Lab and NVIDIA show that caching SSM inputs instead of recurrent state cuts memory traffic and unlocks quantization for hybrid models.

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