Accelerating machine learning for computer vision

This post details how Facebook researchers reduced the time to train the ImageNet-1k dataset from multiple days to one hour with leading classification accuracy. This was achieved through creative infrastructure design, utilizing Caffe2 and the Gloo library for collective communication, and employing Big Basin, Facebook's next-generation GPU server, which was contributed to the Open Compute Project. This work enables machine learning researchers to experiment more efficiently, driving the evolution of technologies like face filters, 360 video, and augmented reality.