Today, many artificial intelligence deep learning frameworks (including Caffe2, Chainer, Databricks, H2O.ai, Keras, MATLAB, MXNet, PyTorch, Theano, and Torch) rely on CUDA to provide support for GPUs.
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Top vendors and uses of GPU
2006, Hinton and his student Simon Osindero published an important paper “A Fast Learning Algorithm for Deep Belief Nets” recommends using GPU to increase the speed of training neural networks.
