December 11, 2015
Discovering cures for cancer, for Alzheimer’s, for multiple sclerosis, for Parkinson’s, for the halting and reversing of aging itself, may not require the d Read more…
September 3, 2015
What opportunities and challenges come with personalized medicine? What amount of computing is necessary to get meaningful results? Are we able to handle substa Read more…
July 6, 2011
GNS Healthcare is one of those companies that couldn't have existed in the 20th century. It promotes itself as "a healthcare IT company that applies technology to optimize patient treatment." As such, GNS is at the forefront of a new era of drug development and delivery that is moving personalized medicine from theory into practice. 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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