Nordigen’s Optimized XGBoost Algorithms Run 1.4X Faster Nordigen’s Optimized XGBoost Algorithms Run 1.4X Faster

This solution snapshot illustrates how accelerating tuning on 2nd Gen Intel® Xeon® Scalable processors allowed Nordigen needed to reduce the hyperparameter tuning time for their XGBoost model (part of the Scoring Insights product suite) in order to streamline their model search efforts. Nordigen to expand the parameter space and even run faster on 3rd Gen Intel Xeon Scalable processors.
Categories: Application Type - Machine Learning | Compute - Intel® Xeon® Scalable processor | Deployment Channel - CSP - Amazon Web Services, On-premise (Private Cloud, Other) | Industry - Finance and Insurance | Model Training - Models can be trained - data input only required | Operating System - Linux | Solution Geographic Availability - India, Mexico, United Kingdom, United States, Other - Asia Pacific, Other - Europe and Africa, Brazil, Germany | Solution Type - AI Software/SaaS | Use Case - Data Analytics