April 11, 2017
Advanced-scale storage specialist DataDirect Networks (DDN), whose solutions populate the upper-rung of the Top500 supercomputing list, today announced new “c Read more…
August 28, 2012
Amazon has just announced a new storage service called Glacier. The cloud giant describes its new offering as a secure, extremely low-cost storage technology for data archiving and backup. Like the name implies, the service is slow, cold and remote. Read more…
April 25, 2011
The Australian Academic Research Network (AARNet) has announced that its CloudStor storage as a service project has emerged from beta to aid member institutions. Read more…
August 31, 2010
Regardless of how the cost argument is defended, one area that emerges in discussions about cloud-based data protection is the recovery time objective or RTO. The root of this discovery is that traditional storage options, even the venerable tape media category, have fast transfer rates. The hard question is do we put a price on an RTO? 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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