Efficient AI Computing,
Transforming the Future.

Qinghao Hu

Postdoctoral

(Graduated)

His research focuses on building efficient machine learning systems, particularly in the areas of training, serving, and scheduling for foundation models. His work received the Distinguished Paper Award at ASPLOS. He is also a recipient of the Google PhD Fellowship and has been recognized as one of the ML and Systems Rising Stars by MLCommons.

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Open source projects with over 1K GitHub stars

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