In the news
ReplaySSM: Rethinking State Storage for Faster Hybrid-Model Decoding
NVIDIA Developer · Published · 3 min read
In 30 seconds
- What happened
- NVIDIA and Princeton's ReplaySSM technique caches SSM inputs instead of full state, speeding hybrid-model decoding by 1.46x to 1.80x.
- Why it matters
- Engineers optimizing inference for hybrid models with state-space layers like Mamba-2, GDN, or KDA at production batch sizes.
- Watch out
- Speedup concentrates at high batch sizes; batch size 1 sees no improvement. Quantization error behavior needs validation per model.
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- nemotron
Who else ran this
- ReplaySSM: Cache SSM Inputs, Not StatearXiv cs.AI
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