Using Apache Spark™ for large-scale data prep and Ray for task parallelism, teams trained and tuned 1,400+ forecasting models in under 30 minutes instead of nearly three hours — hitting ~95% CPU utilization. See the full benchmark and workflow: https://
databricks.com/blog/superchar
ging-ai-model-building-data-and-task-parallelism-ray-and-databricks?utm_source=twitter&utm_medium=organic-social
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Apache Spark and Ray accelerate 1400 forecasting models training
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