July 25, 2012
<a href="http://www.hpcwire.com/hpcwire/2012-07-25/nasa_builds_supercomputing_lab_for_earth_scientists.html" target="_blank">This week, NASA announced it would soon be launching a new HPC and data facility that will give Earth scientists access to four decades of satellite imagery and other datasets. Known as the NASA Earth Exchange (NEX), the facility is being promoted as a "virtual laboratory" for researchers interested in applying supercomputing resources to studying areas like climate change, soil and vegetation patterns, and other environmental topics. 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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