Modern HPC and Big Data Design Strategies for Data Centers

White Papers > AI > Modern HPC and Big Data Design Strategies for Data Centers

This insideHPC Special Research Report provides an overview of what to consider when selecting an infrastructure capable of meeting the new workload processing needs. Tyan has a wide range of bare bones server and storage hardware solutions  available for organizations and enterprise customers.

Data processing today involves analyzing massive amounts of data that may be processed onsite or in the  cloud. There is a convergence of data processing with high performance computing (HPC), artificial intelligence (AI), and deep learning (DL) markets. Systems capable of handling HPC workloads are now used by many businesses and organizations. In addition to workloads run in a data center, organizations may need to process and store data from accelerated workloads typically run on HPC systems. Organizations need an optimized infrastructure architecture to meet a wide variety of processing needs.

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