Ray

Universal framework for distibuted computing

• Desenvolvido para correr ML tasks
• Scheduler
• Buil-in distributed object store with shared memory

Use cases

• ETL cluster - Spark on Ray
• Shuflle data
• Train cluster
• Tune cluster