February 17, 2017
Since our initial coverage of the TSUBAME3.0 supercomputer yesterday, more details have come to light on this innovative project. Of particular interest is a new board design for NVLink-equipped Pascal P100 GPUs that will create another entrant to the space currently occupied by Nvidia's DGX-1 system, IBM's "Minsky" platform and the Supermicro SuperServer (1028GQ-TXR). Read more…
February 16, 2017
In a press event Friday afternoon local time in Japan, Tokyo Institute of Technology (Tokyo Tech) announced its plans for the TSUBAME3.0 supercomputer, which w Read more…
May 5, 2011
The Weekly Top Five features the five biggest HPC stories of the week, condensed for your reading pleasure. This week, we cover ISRO's newest supercomputer; Tokyo Tech's selection of EM Photonics' CULA library; Intel's 3-D transistor breakthrough; the latest LSF Tools from Platform Computing; and SciNet's new NextIO GPU-based system. Read more…
October 14, 2010
When the TSUBAME 2.0 supercomputer is formally inaugurated in December, it will officially be declared the fastest supercomputer in Japan. However, it’s not simply speed that separates this machine; boasting a raw performance of 2.4 petaflops, the new TSUBAME exceeds the total FLOPS capacity of all other government and academic supercomputers in Japan today. That kind of computational brawn will make it the platform of choice for some of the most powerful scientific applications on the planet. 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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