March 22, 2018
HPC cloud specialist Nimbix this week announced the addition of IBM’s Power9 technology to the Nimbix cloud starting with an early access “gated program” Read more…
January 25, 2017
Perhaps ‘heresies’ is a bit strong, but HPC in the cloud, even for academics, is a fast-changing domain that’s increasingly governed by a new mindset, says Tim Carroll, head of ecosystem development and sales at Cycle Computing, an early pioneer in HPC cloud orchestration and provisioning software. The orthodoxy of the past – an emphatic focus on speeds and feeds, if you will – is being erased by changing researcher attitudes and the advancing capabilities of public (AWS, Microsoft, Google et al.) and private (Penguin, et al.) clouds. Read more…
October 20, 2016
The latest scientific evidence indicates that the universe is expanding at an accelerating rate and that so-called dark energy is the driver behind this growth. Even though it comprises roughly two-thirds of the universe, not much is known about dark energy because it cannot be directly observed. Read more…
August 16, 2010
Cloud infrastructure is still lucrative if comparing its economics to building in-house HPC machines. However, cloud for HPC has to be efficient enough to reach proper performance ceilings without disappointing customers who probably experienced at a certain point to run their HPC applications on dedicated machines. As part of an ongoing series, Dr. Mohamed F. Ahmed addresses the multitude of challenges inherent to porting HPC applications in the cloud and what steps need to be taken in research to address such barriers. 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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