November 16, 2012
Imagine a world where a computer chip costs just a penny. They could be embedded anywhere and everywhere. Celebrity physicist Michio Kaku talked about the implications of this and much more in his much-anticipated keynote address at Supercomputing 2012 (SC12) this week in Salt Lake City, where he discussed the huge role that high performance computing will play in the year 2100. Read more…
February 17, 2011
IBM super beats humans at their own game. Next up: calling Doctor Watson. 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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