April 21, 2011
It is often said that managing enterprise risk and micro risk is about finding the needle in the haystack. Predictive analytics uses powerful computers with large memory and storage to eliminate 90 percent of the hay, those "easy" decisions that a computer can handle effortlessly. The modeling systems then score the remaining 10 percent, prioritizing the activities of the human analysts and investigators to do what they do best, which is to make the optimal decision. Read more…
February 24, 2011
Using high performance computing to help modernize US manufacturing is one of those good ideas that seems inevitable but always just out of reach. A recent study confirms this, and provides a framework for strengthening the HPC landscape in this sector. Read more…
April 8, 2010
Faced with mounting pressure from partners and end users in the HPC community, application software vendors are striving to cope with what it means to offer their software as a service. To learn more about the potential for cloud expansion, InterSect360 Research has been conducting a study of the outlook of SaaS and cloud computing models among the HPC ISV community. 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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