Over the long course of IT history, the burden has been on the software side to keep pace with rapid hardware advances—to exploit new capabilities and boldly go where no benchmarks have gone before. …
Intel has planted some solid stakes in the ground for the future of deep learning over the last month with its acquisition of deep learning chip startup, Nervana Systems, and most recently, mobile and embedded machine learning company, Movidius. …
There is no workload in the datacenter that can’t, in theory and in practice, be supplied as a service from a public cloud. …
While much of the work at Baidu we have focused on this year has centered on the Chinese search giant’s deep learning initiatives, many other critical, albeit less bleeding edge applications present true big data challenges. …
Over the last couple of years, the idea that the most efficient and high performance way to accelerate deep learning training and inference is with a custom ASIC—something designed to fit the specific needs of modern frameworks. …
Back in 2010, when the term “cloud computing” was still laden with peril and mystery for many users in enterprise and high performance computing, HPC cloud startup, Nimbix, stepped out to tackle that perceived risk for some of the most challenging, latency-sensitive applications. …
If there is anything that chip giant Intel has learned over the past two decades as it has gradually climbed to dominance in processing in the datacenter, it is ironically that one size most definitely does not fit all. …
Data scientists and deep and machine learning researchers rely on frameworks and libraries such as Torch, Caffe, TensorFlow, and Theano. …
Supercomputer maker SGI has been going it alone in the upper echelons of the computing arena for decades and has brought much innovation to bear on some of the most intractable simulation, modeling, and analytics problems in the world. …
Following yesterday’s acquisition of deep learning chip startup Nervana Systems by Intel, we talked with the company’s CEO, Naveen Rao, about what plans are for both the forthcoming hardware and internally developed Neon software stack now that the technology is under a much broader umbrella. …
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