Qing Lan

Qing Lan is an SDE on the AWS Deep Learning Toolkits team. He is one of the co-authors of DJL (djl.ai) and a PPMC member of Apache MXNet. He graduated from Columbia University in 2017 with a master's in computer engineering and interned in NVIDIA Summer 2017. He is focused on the distributed deep learning training and inference area.
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Posts by Qing Lan

Simulation / Modeling / Design

Accelerating Deep Learning with Apache Spark and NVIDIA GPUs on AWS

With the growing interest in deep learning (DL), more and more users are using DL in production environments. Because DL requires intensive computational power,... 7 MIN READ