Ray Summit brings together developers, ML practitioners, data scientists, DevOps, and cloud-native architects interested in building scalable data & AI applications with Ray, the open-source Python framework for distributed computing.
Topics include: ML in production, MLOps, deep & reinforcement learning, cloud computing, serverless, and Ray libraries
Scalable machine learning, scalable Python, for everyone
Keynote Speakers
Eric Brewer
VP Infrastructure, Google Fellow | Professor Emeritus, UC Berkeley
Tianqi Chen
Assistant Professor, ML & CS Department, Carnegie Mellon University | CTO, OctoML | Creator of Apache TVM, XGBoost, and the co-creator of Apache MXNet
Sarah Bird
Principal Program Manager, Responsible AI Lead, Emerging Technology & Research Strategy Lead, and Azure AI, Microsoft
Matt Johnson
Research Scientist, Google Brain | Tech Lead, JAX
Dawn Song
Professor, EECS, UC Berkeley
Ion Stoica
Co-Founder, Executive Chairman & President, Anyscale | Professor, University of California Berkeley
Robert Nishihara
Co-founder and CEO, Anyscale
Nicolas Hohn
Chief Data Scientist, McKinsey/QuantumBlack Australia
Marvin Theimer
Distinguished Engineer, Amazon Web Services
All Speakers
Carson Wang
Software Engineering Manager, Intel Data Analytics Software Group