I'm glad you find it exciting! Our intention from the start was for Ray to be general purpose. And the core Ray APIs are quite general (basically just scheduli

I'm glad you find it exciting! Our intention from the start was for Ray to be general purpose. And the core Ray APIs are quite general (basically just scheduling a Python function somewhere in a cluster or instantiating a Python class as a process somewhere in the cluster). We had AI use cases in mind from the start, since we were grad students in AI. But the generality has really been important since AI workloads encompass a huge variety of computational patterns (allreduce style communication patterns on GPUs for training, embarrassingly parallel data processing workloads on spot instances, and so on).