April 6, 2016
Already Europe’s fastest supercomputer at 7.8 petaflops, the Piz Daint (hybrid CPU/GPU Cray XC30) at the Swiss National Computing Center (CSCS) will double its performance with a massive upgrade that involves switching to NVIDIA’s newest Pascal GPU architecture and merging with Piz Dora (Cray XC40), a smaller CPU-based machine. The announcement was made at GTC16... Read more…
December 11, 2014
Already the world's most energy-efficient petascale supercomputer, "Piz Daint" – the Cray XC30 system installed at the Swiss National Supercomputing Centre (C Read more…
September 11, 2013
The Swiss National Supercomputing Centre (CSCS) is rolling out the second half of its Cray XC30 supercomputer, the first to employ both Intel Xeon processors and NVIDA GPUs. 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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