Building ML Models at scale using DASK Clusters on Azure Machine Learning with RAPIDS from NGC

Organizations across industries are leveraging machine learning (ML) to gather insights, improve the customer experience, and drive operational efficiencies. However, building an ML application requires large amounts of training data, software and hardware infrastructure to train the ML models, and tools to run real-time inference that scales with demand.