Ray is an open-source unified framework for scaling Python and AI workloads across distributed clusters for training and serving.
AI SDK Intelligence
Ray
Ray Project / Anyscale · N/A open-source; cloud tokens if managed.
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Editorial overview
Capabilities
- Distributed Python tasks/actors
- Ray Train/Tune/Serve libraries
- Cluster scaling primitives
Limitations
- Distributed debugging complexity
- Cluster ops needed at scale
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Related glossary terms
Why it matters
Ray is tracked so engineering and procurement teams can compare official developer surfaces, authentication posture, and documentation without relying on marketing copy.
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