Ray Meetup
Ray Meetup @ Data Science DC: Scaling and distributing Python & ML applications with Ray
Tuesday, May 10 3 PM PDTModern machine learning workloads are compute-intensive and require distributed execution. Ray is an open-source, general-purpose, distributed framework that easily scales Python applications and ML workloads from a laptop to a cluster.
This talk will cover Ray’s overview, architecture, core concepts, and design patterns. We will demonstrate how Ray can scale training, hyperparameter tuning, and inference from a single node to a cluster, with tangible performance benefits.
Speakers
Jules Damji
Lead developer advocate, Anyscale, Anyscale