GPU database: A disruptive analytics technology

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By Janak Kalaria

The complexity of the data analytics landscape is accelerating tremendously – at a rate faster than the capacity of legacy data analytics applications. GPU (graphics processing unit) databases have emerged as a cost-effective, higher-powered way to process large datasets. Leading organizations seeking to leverage disruptive technology (such as machine learning and IoT) can benefit greatly from GPU performance.

This ICF white paper identifies four challenges facing the data analytics community, and how GPU database technology offers benefits far superior to that of legacy analytics.

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Meet the author
  1. Janak Kalaria, Senior Director, Analytics and IT Modernization

    Janak is an analytics and IT modernization expert with more than 15 years of experience helping clients in the public sector effectively implement their IT modernization and digital transformation initiatives. View bio