![]() Machine learning represents another type of applications that is experiential the application makes predictions about new or current data based on patterns seen in the past.” Today, parallel processing solutions handle massive amounts of data and run powerful analytics software that uses artificial intelligence (AI) and machine learning (ML) for highly demanding jobs.Ī report by Intersect360 Research found that “Traditionally, most HPC applications have been deterministic given a set of inputs, the computer program performs calculations to determine an answer. ![]() Its big data meets HPC ― otherwise known as high performance data analytics.īigger, Faster, More Compute-intensive Data Analyticsīig data analytics has relied on HPC infrastructure for many years to handle data mining processes. The benefits of analyzing vast amounts of data, long-term or in real-time, has captured the attention of businesses of all sizes. Big data analytics has moved beyond the rarified domain of government and university research environments equipped with supercomputers to include businesses of all kinds that are using modern high performance computing (HPC) solutions to get their analytics jobs done.
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