July 17, 2012
The Department of Defense has announced a cloud computing strategy that aligns the agency with Federal efficiency standards. It details the transition from traditional IT services, including methods to promote adoption, establish an enterprise cloud infrastructure and consolidate datacenter resources. Beyond technical details, the program also aims to overcome any cultural challenges associated with migration to cloud technology. Read more…
April 19, 2011
The Defense Systems Information Agency (DISA) in the United States is taking open collaborative access for government software contractors to a higher level Read more…
February 9, 2011
CIO of America's Defense Information Systems Agency (DISA) recently discussed efforts to move toward full virtualization over the coming year, noting key challenges and benefits. Read more…
October 20, 2008
John Garing, CIO of the Defense Information Systems Agency, believes cloud computing will be a driving force in the IT strategy within the Department of Defense. In fact, he refers to cloud computing as "something we absolutely have to do." 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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