Architecting Data Pipelines for Multimodal Datasets at Scale

This article discusses designing and implementing data pipelines capable of processing large-scale multimodal datasets (combining text, images, video, audio, etc.) using Ray, an open-source distributed computing framework. It covers architectural patterns and best practices for handling the complexity of ingesting, transforming, and preparing diverse data types efficiently across distributed systems. The content likely includes practical examples of scaling multimodal data workflows with Ray's distributed task and data processing capabilities.

Source: Anyscale/Ray | 2026-05-14