SageAttention is an efficient quantized attention mechanism that accelerates performance by 2-5 times without sacrificing accuracy.
SageAttention is an advanced attention mechanism developed by the Machine Learning Research Group at Tsinghua University. This mechanism achieves faster performance than FlashAttention through quantization techniques, while maintaining end-to-end metrics without degradation in language, image, and video models. SageAttention received Spotlight presentations at ICLR2025, ICML2025, and NeurIPS2025, showcasing its broad application potential in deep learning models.
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