Overview
Explore a 32-minute conference talk from Ray Summit 2024 where City Storage Systems (CSS) engineers Santosh Jha and Ammar Alrashed demonstrate their revolutionary machine learning platform powered by Ray and Kubernetes. Discover the sophisticated architecture that enables accelerated ML development through the seamless integration of Ray clusters, Metaflow, Daft, and Argo Workflows. Learn how CSS overcomes complex scaling challenges and optimizes development processes with their next-generation infrastructure. Gain valuable insights into building and implementing advanced ML platforms that prioritize speed and efficiency in machine learning operations. Perfect for ML engineers and architects looking to enhance their understanding of modern ML infrastructure design and implementation.
Syllabus
An Overview of CloudKitchens's Ray-Powered ML Platform | Ray Summit 2024
Taught by
Anyscale