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School of Electrical Engineering, Korea Advanced Institue of Science and Technology (KAIST)
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Unlock 6.6x faster and 4.4x more energy-efficient on-premise MoE serving with a hardware-software co-design that turns MoE's memory bottleneck into a strength.
GyRot achieves state-of-the-art 4-bit accuracy in LLMs while tripling speed and energy efficiency through a unique synergy of rotation and group quantization.
Achieving 27.4 TOPS/W energy efficiency for 4-bit inference, LightRot redefines the benchmarks for low-bit large language models.
