What happened: ReplaySSM: Cache SSM Inputs, Not State

ReplaySSM caches SSM inputs instead of state, reducing memory traffic and accelerating decoding by 1.2x to 1.47x in hybrid models.

Why it matters: ReplaySSM: Cache SSM Inputs, Not State

Matters for engineers optimizing state-space model serving, especially those using vLLM with Mamba-2 or similar hybrid architectures at scale.

Results shown at batch size 256; effectiveness at other batch sizes unknown. Requires vLLM integration and model-specific implementation.

In the news

arXiv cs.AI · Published October 9, 2026 · 3 min read

What happened: ReplaySSM caches SSM inputs instead of state, reducing memory traffic and accelerating decoding by 1.2x to 1.47x in hybrid models.
Why it matters: Matters for engineers optimizing state-space model serving, especially those using vLLM with Mamba-2 or similar hybrid architectures at scale.
Watch out: Results shown at batch size 256; effectiveness at other batch sizes unknown. Requires vLLM integration and model-specific implementation.

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