Has Ray grown beyond reinforcement learning? Ray appears to lack a datastore or locality mechanism for at-rest distributed data, which is really important for ETL and SQL workloads. So far Ray looks like it has some nice features that are missing from the Spark RDD API, but for ETL / SQL it looks like you’d only choose Ray there for your own entertainment.
It would be compelling if Ray were to provide Horovod support versus the authors re-applying some of same research in their own thing. Ray programming API + code distribution + Horovod performance primitives is what the community probably wants.
It would be compelling if Ray were to provide Horovod support versus the authors re-applying some of same research in their own thing. Ray programming API + code distribution + Horovod performance primitives is what the community probably wants.