A growing number of data scientists are using GPUs for big data analytics to make better, real-time business decisions. This page highlights customer use cases and their techniques in big data analytics, such as machine learning, deep learning, search, and sorting.
10x SPEED-UP ON IMAGE DETECTION USING NEURAL NETWORKS
Dr. Dan Ciresan, Swiss Al Lab IDSIA, Switzerland
WORLD’S LARGEST ARTIFICIAL NEURAL NETWORKS WITH GPUS
Adam Cotes et al Sanford Al Lab, U.S.A.
We are partnering with Sqream DB which utilises GPU’s and brings you the opportunity to do much more with more of your data. Getting fast insights with hundreds of billions of data points is now within reach. You may integrate SQream DB as a standalone database solution or as a complementary analytics database, maximizing your IT investments.
Sqream DB uses standard SQL and common language bindings, deep learning technologies that also use GPUs, such as TensorFlow and Theano, work “hand in glove” to reduce the time for modeling and learning experiments.
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