
A Deep Learning Performance Lens for Low Precision Inference
Few companies have provided better insight into how they think about new hardware for large-scale deep learning than Chinese search giant, Baidu. …
Few companies have provided better insight into how they think about new hardware for large-scale deep learning than Chinese search giant, Baidu. …
For years, researchers have been trying to figure out how the human brain organizes language – what happens in the brain when a person is presented with a word or an image. …
For years, the pace of change in large-scale supercomputing neatly tracked with the curve of Moore’s Law. …
Enterprises continue to struggle with the issue of data: how to process and move the massive amounts that are coming in from multiple sources, how to analyze the different types of data to best leverage its capabilities, and how to store and unify it across various environments, including on-premises infrastructure and cloud environments. …
In our ongoing quest to understand the human mind and banish abnormalities that interfere with life we’ve always drawn upon the most advanced science available. …
Accurately forecasting resource demand within the supply chain has never been easy, particular given the constantly changing nature of the data over periods of time. …
Around this time last year, we delved into a new FPGA-based architecture that targeted efficient, scalable machine learning inference from startup DeePhi Tech. …
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. …
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