GPU Platforms Set to Lengthen Deep Learning Reach

December 7, 2015 Nicole Hemsoth For Google, Baidu, and a handful of other hyperscale companies that have been working with deep neural networks and advanced applications for machine learning well ahead of the rest of the world, building clusters for both the training and inference portions of such workloads is kept, for the most part, a well-guarded secret. What is clear from what we have been able to gather, however, is that GPUs are the key to efficiently accelerating training neural networks—a process that is time-consuming and computationally intensive. GPU maker, Nvidia, has been on the front end of the push to continue this trend. In addition to the new cards released this year aimed at both the training (via the Tesla M40) and inference portions of deep learning and…


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