
Scaling Deep Learning on an 18,000 GPU Supercomputer
It is one thing to scale a neural network on a single GPU or even a single system with four or eight GPUs. …
It is one thing to scale a neural network on a single GPU or even a single system with four or eight GPUs. …
Like other major hyperscale web companies, China’s Tencent, which operates a massive network of ad, social, business, and media platforms, is increasingly reliant on two trends to keep pace. …
When it comes to solving deep learning cluster and software stack problems at scale, few companies are riding the bleeding edge like Chinese search giant, Baidu. …
In Supercomputing Conference (SC) years past, chipmaker Intel has always come forth with a strong story, either as an enabling processor or co-processor force, or more recently, as a prime contractor for a leading-class national lab supercomputer. …
When it comes to deep learning innovation on the hardware front, few other research centers have been as forthcoming with their results as Baidu. …
Update – 8/9/16 1:00 p.m. Pacific – Not even 24 hours after this story was posted Intel bought Nervana Systems. …
Although the launch of Pascal stole headlines this year on the GPU computing front, the company’s Tesla K80 GPU, which was launched at the end of 2014, has been finding a home across a broader base of applications and forthcoming systems. …
Having made the improbable jump from the game console to the supercomputer, GPUs are now invading the datacenter. …
As we have noted over the last year in particular, GPUs are set for another tsunami of use cases for server workloads in high performance computing and most recently, machine learning. …
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