> For the complete documentation index, see [llms.txt](https://ensemble-ai.gitbook.io/ensemble-ai-api-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ensemble-ai.gitbook.io/ensemble-ai-api-docs/references/ray-for-dark-matter.md).

# Ray for Dark Matter

{% embed url="<https://www.ray.io/>" %}

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.