April 7, 2017
A more standardised HPC platform approach is making the running of HPC projects within increasing financial reach. But this still leaves the dilemma of how orga Read more…
January 30, 2015
Increasingly, making cars go faster falls under the purview of high-performance computing. This is especially true in the case of supersonic cars, vehicles capa Read more…
April 10, 2014
British systems integrator Viglen has won a £4 million contract to outfit JASMIN, a UK-based environmental scientific data analysis and simulation facility, wi Read more…
Whether an organization chooses a cloud for general business needs or a highly tailored workload, the spectrum of offerings and configurations can be overwhelming. To help you navigate the various cloud options available today, we're breaking down your options, exploring pros and cons, and sharing ways to keep your options open and your business agile as you execute your cloud strategy.
Researchers in academic labs and commercial R&D groups continue to need more compute capacity, which means leveraging the latest innovations in HPC technologies as well as an assortment of resources to meet the unique needs of different workloads. Increasingly, systems based on Arm processors are stepping into that role, offering low power consumption and strategic advantages for HPC workloads.
Whether it's for fraud detection, personalized medicine, manufacturing, smart cities, autonomous vehicles and many other areas, advanced-scale computing has exploded beyond the realm of academia and government and into the private sector. And with data-intensive workloads on the rise, commercial users are turning to HPC-based infrastructure to run the AI, ML and cognitive computing applications that their organizations depend on.
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