Ray for Dark Matter
Dark Matter leverages Ray to distribute algorithm training for scaling and optimizing training time.
Last updated
Dark Matter leverages Ray to distribute algorithm training for scaling and optimizing training time.
Last updated
Ray is a powerful Python package that simplifies configuration and execution of parallel processing on a single multi-cpu core, or across multiple servers. Dark Matter uses Ray by default and is configured automatically based on user-defined parameters, ensuring end-users experience the best performance and observability when training the Dark Matter algorithm.