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How Uber Optimizes Marketplaces with Ray

Offered By: Anyscale via YouTube

Tags

Distributed Computing Courses Performance Improvement Courses Parallelization Courses Anyscale Courses

Course Description

Overview

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Explore how Uber's engineering team leverages Ray to revolutionize marketplace optimization in this 32-minute conference talk from Ray Summit 2024. Discover how parallelizing operations with Ray has led to impressive 40x speed improvements in critical processes, enabling Uber to expand its business and enhance operational efficiency. Learn from Peng Zhang, Kaichen Wei, and Matt Walker as they demonstrate how this performance boost allows for broader parameter space exploration and more frequent iterations, pushing the boundaries of large-scale marketplace optimization. Gain insights into applying Ray's distributed computing capabilities to solve complex business problems and achieve substantial efficiency gains in your own operations.

Syllabus

How Uber Optimize Marketplaces with Ray | Ray Summit 2024


Taught by

Anyscale

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