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HPE Reference Architecture for accelerated AI & ML on HPE ProLiant Gen10 servers

In today’s data driven economy, to remain competitive, businesses must invest in artificial intelligence and machine learning tools and applications.

Using AI, organizations are developing, and putting into production, process and industry applications that automatically learn, discover, and make recommendations or predictions that can be used to set strategic goals and provide a competitive advantage.

To accomplish these strategic goals, organizations require data scientists and analysts that are skilled in developing models and performing analytics on enterprise data. These data analysts require specialized tools, applications, and compute resources to create complex models and analyze massive amounts of data.

Deploying and managing these CPU intensive applications can place a burden on already taxed IT organizations. The Red Hat OpenShift Container Platform, running on HPE ProLiant DL servers and powered by NVIDIA T4 GPUs, can provide an organization with a powerful, highly available, DevOps platform that allows these CPU intensive data analytics tools and applications to be rapidly deployed to end users through a self-service OpenShift registry and catalog.

Additionally, OpenShift compute nodes equipped with NVIDIA T4 GPUs provide the compute resources to meet the performance requirements of these CPU intensive applications andqueries.


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