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Ray vs Spark

Ray is the leading option for multiomodal data processing and AI model training and services. That's because Ray enables heterogenous compute (CPU-GPU-TPU-Neuron) and fine grained precise orchestration of AI tasks. Apache Spark was built for a structured data and CPU-centric world focused on analytics, BI, and large data processing.