October 29, 2010
This week Intel announced its vision for the cloud in 2015, which targets a number of issues including interoperability standards, efficiency, security and simplication of use across devices. While the breadth of the announcement is far-reaching and the goals lofty, the company is finally laying forth the first pieces of how it views itself as part of the "paradigm shift" of cloud computing -- even if it's clear that some of the ideals might take longer than 2015 to be realized. Read more…
September 15, 2010
Adaptive Computing, known for its Moab automation technology, announced today that it was one of four companies selected by Intel Capital for a round of Series A funding. The company is set to receive $14 million with Intel’s line combined with further resources from two other investment firms who saw promise in the company and its nine-year track record of growth and profitability. Read more…
October 31, 2008
A conversation with Parallels CEO Serguei Beloussov reveals a world defined by five types of computing clouds, hypervisor- and contained-based virtualization in one product, and just about every aspect of IT being automated. But this is no distant prognostication -- Beloussov says it already has begun. Read more…
October 27, 2008
As the IT world continues its march toward a service-oriented future (read: cloud computing), the spotlight continues to shine on aspects like virtualization, computing and billing models -- and rightfully so. Lost in the mix, though, or perhaps taken for granted, are automation technologies, which some believe are the foundation for any legitimate cloud computing infrastructure. 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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