One of the reasons why Nvidia has been able to quadruple revenues for its Tesla accelerators in recent quarters is that it doesn’t just sell raw accelerators as well as PCI-Express cards, but has become a system vendor in its own right through its DGX-1 server line. …
For a mature company that kickstarted supercomputing as we know it, Cray has done a rather impressive job of reinventing itself over the years. …
The science fiction of a generation ago predicted a future in which humans were replaced by the reasoning might of a supercomputer. …
Big data, data science, machine learning, and now deep learning are all the rage and have tons of hype, for better—and in some ways, for worse. …
Graphics chip maker Nvidia has taken more than a year and carefully and methodically transformed its GPUs into the compute engines for modern HPC, machine learning, and database workloads. …
Moving data is the biggest problem in computing, and probably has been since there was data processing if we really want to be honest about it. …
The last two years have delivered a new wave of deep learning architectures designed specifically for tackling both training and inference sides of neural networks. …
While it is always best to have the right tool for the job, it is better still if a tool can be used by multiple jobs and therefore have its utilization be higher than it might otherwise be. …
Industrial companies have replaced people with machines, systems analysts with simulations, and now the simulations themselves could be outpaced by machine learning—albeit with a human in the loop, at the beginning at least. …
Over the last couple of decades, those looking for a cluster management platform faced no shortage of choices. …
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