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SnapMLA: Efficient Long-Context MLA Decoding via Hardware-Aware FP8 Quantized Pipelining

SnapMLA improves long-context MLA decoding throughput up to 1.91x via hardware-aware FP8 quantization and pipeline optimization while preserving benchmark quality.

Yifan Zhang, Zunhai Su, Shuhao Hu, YangRui and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 8 of 20 reviewers recommend it
lenient 2/5
medium 6/10
strict 0/5