Abstract: 

Large scale distributed training has become an essential element to scaling the productivity for ML engineers. Today, ML models are getting larger and more complex in terms of compute and memory requirements. The amount of data we train on at Facebook is huge. In this talk, we will learn about the Distributed Training Platform to support large scale data and model parallelism. We will touch base on Distributed Training support for PyTorch and how we are offering a flexible training platform for ML engineers to increase their productivity at facebook scale.

Bio: 

Senior Software Engineering Manager - Facebook AI Infrastructure Mohamed Fawzy leads the Distributed AI Group at Facebook. The Distributed AI group is focused on scaling and product-ionizing machine learning training at facebook scale by building platform and infrastructure to support large scale distributed training on heterogeneous hardware.