Wentao Guo(@WentaoGuo7):🚀SonicMoE🚀now runs at peak throughput on NVIDIA Blackwell GPUs 😃 54% & 35% higher fwd/bwd TFLOPS than the DeepGEMM baseline and 21% higher fwd TFLOPS than the triton official example. SonicMoE still maintains its minimum activation memory footprint: the same as a dense model with equal activated parameters and independent of expert granularity. We wrote a blogpost on how we leveraged Blackwell features and the software abstraction on QuACK: Work with @MayankMish98, @XinleC295, @istoica05, @tri

Wentao Guo

@WentaoGuo7

CS PhD student @PrincetonCS, Previously CS MEng + BS @CornellCIS

加入 November 2021

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Wentao Guo@WentaoGuo7

2026.04.22 17:38

🚀SonicMoE🚀now runs at peak throughput on NVIDIA Blackwell GPUs 😃 54% & 35% higher fwd/bwd TFLOPS than the DeepGEMM baseline and 21% higher fwd TFLOPS than the triton official example. SonicMoE still maintains its minimum activation memory footprint: the same as a dense model with equal activated parameters and independent of expert granularity. We wrote a blogpost on how we leveraged Blackwell features and the software abstraction on QuACK: Work with @MayankMish98, @XinleC295, @istoica05, @tri_dao