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Ray
Create campaigns, monitor performance, and optimize with drag-and-drop builders using real-time analytics.
Ray functions as an open source framework dedicated to managing, executing, and optimising compute requirements across distributed workloads. It is designed to unify AI platforms by precisely orchestrating infrastructure on any accelerator at any scale. The system aims to provide unmatched performance and efficiency for complex machine learning tasks that grow in complexity over time. While it supports development on various accelerators,
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