Cloud

The Symmetry Of Putting Fluid Dynamics In The Cloud

There has been a lot of talk about taking HPC technologies mainstream, taking them out of realm of research, education and government institutions and making them available to enterprises that are being challenged by the need to manage and process the huge amounts of data being generated through the use of such compute- and storage-intensive workloads such as analytics, artificial intelligence and machine learning.

Compute

MapR Gives Single View Of Big Data

The enormous amount of data being generated will do companies little good if they can’t more easily gather it from multiple sources, store it, analyze it and gain important insights into it that will help them drive better business decisions.

Connect

Breaking Memory Free Of Compute With Gen-Z

Servers have become increasingly powerful in recent years, with more processing cores being added and accelerators like GPUs and field-programmable gate arrays (FPGAs) being added, and the amount of data that can be processed is growing rapidly.

AI

Dell EMC Wants to Take AI Mainstream

One of the challenges vendors are trying address when it comes to artificial intelligence is expanding the technology and its elements of machine learning and deep learning beyond the realm of hyoerscalers and some HPC centers and into the enterprise, where businesses can leverage them for such workloads as simulations, modeling, and analytics.