October 17, 2016
"We're gonna need a bigger supercomputer" is what Norwegian oil and gas company Petroleum Geo-Services (PGS) must have said to Cray ahead of working with the iconic supercomputer maker to expand its seismic processing capability by a full 50 percent. And it's not like PGS didn't already have a big supercomputer. Read more…
September 1, 2016
AMD and its primary fab partner GlobalFoundries have signed an updated five-year wafer supply agreement that will extend through the end of 2020. The restructuring simultaneously deepens the commitment between the partners and gives AMD limited freedom to see other... Read more…
March 11, 2016
Led by strong growth in China, the worldwide server market grew 5.2 percent to $15.3 billion in the fourth quarter of 2015, reported market watcher IDC this wee Read more…
June 9, 2015
If you've been waiting for a formal evaluation of the IBM Power8 architecture on common financial workloads, then look no further. According to results share 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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