May 15, 2018
The Partnership for Advanced Computing in Europe (PRACE) today released its annual report showcasing 2017 activities and providing a glimpse into thinking about Read more…
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…
October 27, 2016
In a show of strength in Europe before heading to SC16 next month, IBM and the OpenPOWER Foundation today unveiled several new European initiatives and European-developed solutions at the first OpenPOWER Summit Europe being held this week at the Barcelona Supercomputing Center. The shotgun release of so many efforts, argue IBM and OpenPOWER, demonstrates the hungry appetite for and rapid adoption of Power-based technology in Europe. Read more…
June 27, 2016
Under the H2020 High Performance Computing call (Towards exascale high performance computing) MANGO project was awarded funding of 5.8 million euro for three ye 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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