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  1. 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.

  2. 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.

  3. www.rottentomatoes.com › m › rayRay | Rotten Tomatoes

    Oct 29, 2004 · Legendary soul musician Ray Charles is portrayed by Jamie Foxx in this Oscar-winning biopic. Young Ray watches his 7-year-old brother drown at age seven. When he loses his sight at the age of 9 ...

  4. Ray Robinson (Jamie Foxx) is raised by his independent single mother, Aretha Robinson (Sharon Warren) in poverty, but he manages to find solace in music, eventually learning how to play the piano. As Ray plays with his younger brother George one day, George slips into their mother's full washbasin and drowns to death.

  5. Ray: Part 1. Ray: Part 1 is a fun interactive adventure game in which you can make your own decisions and determine the course of the game yourself. Take other people for a ride in Ray: Part 1, where you can put on your own show as the rather crazy and reckless main character. No matter what situation arises, it's up to you to make things worse ...

  6. The Ray runtime can be started on a laptop, a single server, or multiple servers. There are three ways of starting the Ray runtime: Implicitly via ray.init() ( Starting Ray on a single machine) Explicitly via CLI ( Starting Ray via the CLI (ray start)) Explicitly via the cluster launcher ( Launching a Ray cluster (ray up)) In all cases, ray ...

  7. 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 ...

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