Ray - A Distributed System for Emerging AI Applications
Offered By: Strange Loop Conference via YouTube
Course Description
Overview
Explore the cutting-edge distributed system Ray, designed to support emerging AI applications, in this 42-minute conference talk from Strange Loop. Delve into the evolution from bulk synchronous processing to new requirements like nested parallelism and heterogeneous computations. Learn about Ray's task-parallel and actor abstractions, its highly scalable architecture featuring an in-memory storage system and distributed scheduler. Gain insights into the design decisions behind Ray and discover its practical applications through early implementation experiences shared by speakers Stephanie Wang and Robert Nishihara.
Syllabus
"Ray: A distributed system for emerging AI applications" by Stephanie Wang and Robert Nishihara
Taught by
Strange Loop Conference
Tags
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Artificial Intelligence for Robotics
Stanford University via Udacity Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent