August 29, 2011
Swift Engineering, a leader in the design and manufacture of composite structures, including race cars and aircraft, began using high computing power for Computational Fluid Dynamics applications, but its in-house solution was not scalable. Swift turned to Platform Computing to enable engineers to evaluate concepts within hours instead of days. Read more…
September 13, 2010
Council on Competitiveness studies have demonstrated that small and medium-size businesses (SMBs) face major hurdles moving to HPC. Auto/aero supplier Swift Engineering proves how worthwhile the journey can be. HPCwire talked with Swift chief scientist Mark Page about the transition and its benefits. 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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