Ray

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Unified framework for scaling AI and Python applications

distributedscalingml
Advantages
  • Easy distributed computing
  • Ray Serve for inference
  • Active development
Considerations
  • Learning curve
  • Debugging distributed code
Use Cases
Distributed training
Scalable inference
Parallel processing
Alternatives
Dask
Spark
Kubernetes
Release History

No release history available yet.