Cray Adds Geospatial, Deep Learning Features to Data Analytics Software Products

Cray has updated its suite of artificial intelligence and analytics platforms in a push to help organizations gain insight from geospatial data for government and industrial applications.

The company said Monday it added a geospatial reference configuration and a deep learning plugin to the Urika CS and XC software offerings to manage AI training for deep neural network models.

The updates are meant to also help data science and information technology teams process geospatial AI workloads and accelereate the process to develop related applications.

The Department of Interior’s U.S. Geological Survey agency chose the CS Series platform to expand the use of AI technology in areas such as land imaging, Earth observation and numerical weather forecasting.

Per Nyberg, vice president of AI market development at Cray, said the company builds on its supercomputing experience to develop deep learning tools and “eliminate boundaries faced by geospatial teams exploring and implementing advanced AI applications.”