Description
Keynote: Ray: A Distributed Framework for Heterogeneous Computing - Ion Stoica, Professor, UC Berkeley
Ray has recently become the framework of choice for scaling machine learning workloads—from data preprocessing, to training, fine-tuning, and serving. This talk will highlight Ray’s key features responsible for its flexibility and generality, as well as its recent support for GPUs.