How Spotify Sped Up ML Research and Prototyping with Ray

Discover how Spotify leveraged Ray to accelerate machine learning research and prototyping in this insightful 32-minute conference talk. Explore the journey of Ray's adoption at Spotify, from initial evaluation to integration with internal infrastructure. Learn about the benefits of using Ray as a distributed computing platform for non-standardized ML workflows, including improved model development experience, instant access to distributed computing, and a more expressive programming interface. Gain valuable insights into building and managing Ray infrastructure, best practices learned along the way, and real-world ML applications developed by Spotify users with Ray's assistance. Understand how Ray complements existing production ML workflows and empowers researchers and data scientists at Spotify.

How Spotify sped up ML research and prototyping with Ray