February 1, 2017
On Friday, President Trump signed an executive order that bars citizens from seven Muslim-majority nations -- Iraq, Syria, Iran, Libya, Somalia, Sudan and Yemen Read more…
February 10, 2016
On Tuesday, President Obama released his fiscal year 2017 budget, the final budget of his administration. Broadly focused on America's economic prosperity and n Read more…
September 19, 2013
Around the world, community, industry and academic leaders bemoan the "skills gap," the divide between the profile of those seeking employment and the actual requirements of the marketplace. As jobs become more knowledge-intensive, training for the STEM fields (science, technology, engineering and mathematics) takes on new urgency... 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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