Ray is a distributed computing system optimized for low latency and high throughput, making it a good choice for building real-time machine-learning applications. With Ray, you can quickly scale your applications to thousands of machines and use dynamic task scheduling and efficient resource utilization. Now you can run Ray on databricks https://docs.databricks.com/machine-learning/ray-integration.html