September 5, 2013
Cloud computing has emerged as a model to address a broad range of computing needs and promises to solve all but world peace. The idea of utility or on-demand computing is hardly new but the business models and technology have matured sufficiently to propel the concept firmly back into the limelight. High Performance Computing (HPC) is where most progressive businesses should be focusing their Big Data and Big Compute efforts. Read more…
August 1, 2013
Conspicuously missing from Microsoft's recent corporate reorganization was any mention of the company's HPC group, which develops a cluster-enabled version of Windows Server, among other products. That absence doesn't mean a thing, and the program is going "full steam ahead," the manager in charge of Microsoft's HPC program said this week. Read more…
November 13, 2012
Microsoft has unveiled a set of "big compute" capabilities for its Windows Azure offering. The company is courting the HPC space with more powerful hardware, new instance configurations, and the updated Microsoft HPC Pack 2012. 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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