Leveraging GPU power for big data analytics

NVIDIA CEO Jen-Hsun Huang chats with Shazam CTO Jason Titus on using GPUs for audio search.
NVIDIA CEO Jen-Hsun Huang chats with Shazam CTO Jason Titus on using GPUs for audio search.

Think graphics processing unit (GPU) and most would relate it to mainly gaming. But enterprises are finding new ways to leverage the power of GPUs to tackle big data analytics and advanced search for both consumer and commercial applications.

Shazam, Salesforce.com and Cortexica are among those  expanding the use of GPUs beyond their traditional role of processing massive data sets and complex algorithms for high performance computing science and engineering applications. They rely on NVIDIA Tesla GPU accelerators for areas as diverse as audio search, big data analytics and image recognition.

“GPU accelerators provide great value to applications with lots of data or computations,” said Sumit Gupta, General Manager of the Tesla accelerated computing business at NVIDIA. “A growing number of applications that provide mobile service and social media analysis have both. And that’s prompting their providers to turn to GPU accelerators as they scale up their infrastructure to meet growing demand.”

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