ray-core

What problem does it solve?

Write distributed Python applications using Ray Core with tasks, actors, and the object store to simplify scalable workloads.

Core Features & Use Cases

• Tasks and actors with resource specifications (CPU/GPU/memory)
• Shared object store for efficient data passing between tasks
• Implementing distributed patterns like map-reduce, pipeline, and parameter servers
• Fault tolerance through retries, restarts, and object reconstruction
• Debugging, scheduling, and deployment considerations across a Ray cluster

Quick Start

Run a simple Ray workflow by initializing Ray with ray.init, define a small @ray.remote function, and invoke it to confirm distributed execution.