Deep dive into data ingest with AIR + Datasets

Does your training dataset fit in memory on one machine? Or is it too big even for a large cluster? This talk is for both camps. We will cover how Ray AIR uses Datasets for efficient data loading and preprocessing of training data. We start by walking through high level utilities and ways to set up and debug data loading performance in AIR. Next we cover support for different image and data format modalities. Finally, we dive into what's happening in Ray under the hood when you're running training at scale with AIR, for a full understanding of the stack.