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Systems that provide a unified memory space across multiple nodes for efficient data sharing and object storage.
Distinguishing note: Focuses on memory-level object sharing across distributed workers rather than persistent database storage.
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Ray is a distributed computing framework designed to scale Python and Java applications across clusters by abstracting task scheduling and resource management. It functions as a resource-aware execution engine that manages task dependencies, placement, and fault tolerance across networked compute nodes. At its core, the system provides a stateful actor model, allowing developers to define classes that run in dedicated processes to maintain and mutate internal state across remote method calls. The framework distinguishes itself through a robust cross-language interoperability layer, enabling f
Ray provides a shared memory space to store and retrieve objects, enabling efficient data sharing and asynchronous processing across workers.