New blog series: Deep Learning Papers visualized This is the first post of a new series I am starting where I explain the content of a paper in a visual picture-based way. To me, this helps tremendously to better grasp the ideas and remember them and I hope this will be the same for many of you as well. Today’s paper: Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour by Goyal et al.
GPU inference In a previous article, I illustrated how to serve a PyTorch model in a serverless manner on AWS lambda. However, currently AWS lambda and other serverless compute functions usually run on the CPU. But what if you need to serve your machine learning model on the GPU during your inference and the CPU just doesn’t cut it? In this article, I will show you how to use Docker to serve your PyTorch model for GPU inference and also provide it as a REST API.
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