If several large projects require the same technical computing resources for a two week period, what should you do? Or what happens if you are experiencing spikes in infrastructure demand at a certain period during the day--do you purchase additional infrastructure to accommodate that increase in demand even though those (...)
Why simplification holds the key to efficiency and productivity There are few environments more challenging to manage than high-performance computing clusters. HPC centers continually push the envelope attempting to squeeze every last bit of performance from their machines. They use state-of-the-art hardware, advanced interconnects, and fast storage all bound together with (...)
You can’t manage what you can’t measure For data center managers, high-performance computing environments pose special challenges. They are usually built with state-of-the-hardware, they evolve rapidly, and the users of such environments are not only very smart – they’re often demanding as well. In both research and commercial HPC centers, there are (...)
A functional demonstration Many organizations are wrestling with the economics of cloud computing. This is especially true in high-performance computing (HPC) and analytics where applications often demand clustered, scaled-out infrastructure. These types of workloads are often “spiky” or unpredictable and the costs associated with infrastructure can be substantial. As a few examples: A (...)
For more than a year, I have been talking to Cloud Application Architects at MSPs and Telcos around the world looking to develop super scalable storage-based applications to create new businesses for their organizations. They want to do everything in software and drop it on commodity hardware like they see (...)
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