Databricks cofounder’s next act: Shining a Ray on serverless autoscaling

After helping shepherd Spark to surmount the data bottleneck, UC Berkeley’s Ion Stoica is helping unleash Ray, an emerging open source project to get over the compute bottleneck for scaling machine learning models into production. It will allow any developer to launch their own serverless cluster through a universal API that works anywhere.