Ray is a general purpose distributed computing framework. Ray is used for reinforcement learning and other compute intensive tasks. It was developed at the Berkeley RISELab, a research and development lab with an emphasis on practical applications. Ion Stoica is a professor at Berkeley, and he joins the show to talk about the present and future of the Ray framework.