insideHPC Guide to HPC Fusion Computing Model – A Reference Architecture for Liberating Data

White Papers > AI > insideHPC Guide to HPC Fusion Computing Model – A Reference Architecture for Liberating Data

This insideHPC technology guide discusses how organizations need to adopt a Fusion Computing Model to meet the needs of processing, analyzing, and storing the data to no longer be static. This guide (i) provides an overview of the Fusion Computing Model; (ii) describes how Seagate Technology PLC (Seagate) and Intel Corporation technologies can meet fusion computing needs; and (iii) introduces World Wide Technology (WWT) and describes how WWT’s Advanced Technology Center (ATC) High Performance Architecture (HPA) Framework and Laboratory can test infrastructure solutions to help organizations meet the needs of fusion computing.

Change is driven by the huge amount of data growth, with organizations now running workflows typically
seen in High Performance Computing (HPC). Compute Systems, whether at the core, the cloud, or the edge
are now being built and used across businesses and organizations to boost specific data-intensive needs
such as HPC, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Internet of Things (IoT),
Industrial Internet of Things (IIoT), and Big Data.

As organizations collect more data, more computational horsepower is needed to sift that data as it grows
geometrically, especially in real-time. Companies and governments need to transform digitally, or they will
be left behind in this digital race. Intelligent capture, digestion, and data analytic technologies using HPC and
Al systems underpin the ability to advance processes from mere digitization to fundamental transformation.

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