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Ray Core. Scale generic Python code with simple, foundational primitives that enable a high degree of control for building distributed applications or custom platforms. Learn more.
Monitor and debug Ray applications and clusters using the Ray dashboard. Ray runs on any machine, cluster, cloud provider, and Kubernetes, and features a growing ecosystem of community integrations. Install Ray with: pip install ray. For nightly wheels, see the Installation page.
Ray is a 2004 American biographical musical drama film focusing on 30 years in the life of soul musician Ray Charles. The independently produced film was co-produced and directed by Taylor Hackford; it was written by James L. White from a story by Hackford and White. It stars Jamie Foxx in the title role, along with Kerry Washington, Clifton Powell, Harry Lennix, Terrence Howard, Larenz Tate ...
Overview #. Overview. #. Ray is an open-source unified framework for scaling AI and Python applications like machine learning. It provides the compute layer for parallel processing so that you don’t need to be a distributed systems expert. Ray minimizes the complexity of running your distributed individual and end-to-end machine learning ...
Getting Started. #. Use Ray to scale applications on your laptop or the cloud. Choose the right guide for your task. Scale ML workloads: Ray Libraries Quickstart. Scale general Python applications: Ray Core Quickstart. Deploy to the cloud: Ray Clusters Quickstart. Debug and monitor applications: Debugging and Monitoring Quickstart.
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Note. When you run pip install to install Ray, Java jars are installed as well. The above dependencies are only used to build your Java code and to run your code in local mode. If you want to run your Java code in a multi-node Ray cluster, it’s better to exclude Ray jars when packaging your code to avoid jar conficts if the versions (installed Ray with pip install and maven dependencies) don ...
