Cray adds big data software to its supercomputers


Cray has announced a new suite of big data and artificial intelligence (AI) software called Urika-XC for its top-of-the-line XC Series of supercomputers. Urika-XC is a set of analytics software that will let XC customers use Apache Spark, Intel’s BigDL deep learning library, Cray’s Urika graph analytics engine, and an assortment of Python-based data science tools.

With the Urika-XC software suite, analytics and AI workloads can run alongside scientific modeling and simulations on Cray XC supercomputers, eliminating the need to move data between systems. Cray XC customers will be able to run converged analytics and simulation workloads across a variety of scientific and commercial endeavors, such as real-time weather forecasting, predictive maintenance, precision medicine and comprehensive fraud detection. 

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Urika-XC is the latest in the Urika line of big data analytics offerings. Cray first offered Urika-GD, which focused on graph analytics. Then it shipped Urika-XA, which was focused on Hadoop. After that came Urika-GX, which combined graphical analytics, Hadoop and Spark.

So, in addition to the existing methodologies, Urika-XC software brings deep learning and the Python-based Dask data science library into the solution, along with the R language, Anaconda and Maven. 

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