Announcing Ray support on Databricks and Apache Spark Clusters
Ray is a prominent compute framework for running scalable AI and Python workloads, offering a variety of distributed machine learning tools, large-scale hyperparameter tuning capabilities, reinforcement learning algorithms, model serving, and more. Similarly, Apache Spark™ provides a wide variety of high-performance algorithms for distributed machine learning through Spark MLlib and deep integrations with machine learning […]
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