Interview: Baidu Speeds Deep Learning with GPU Clusters

In this video, Chris Fougner from Baidu Research describes how the company is accelerating Deep Neural Networks with GPU clusters. “Deep neural networks are increasingly important for powering AI-based applications like speech recognition. Baidu’s research shows that adding GPUs to the data center makes deploying big deep neural networks practical at scale. Deep learning based technologies benefit from batching user requests in the data center, which requires a different software architecture than traditional web applications.”  We caught up with Chris Fougner to learn more. insideHPC: Deep neural networks are increasingly important for powering AI-based applications like speech recognition. Is this work purely research, or is Baidu already using this technology for everyday computing? Chris Fougner, Research Scientist at Silicon Valley Intelligence Lab, Baidu Research Chris: Baidu is heavily invested in deep…


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