The NVIDIA Deep Learning SDK brings high-performance GPU acceleration to widely used deep learning frameworks such as Caffe, TensorFlow, Theano, and Torch. The powerful suite of tools and libraries are for data scientists to design and deploy deep learning applications.
Following the Beta release a few months ago, the production release is now available with:
- cuDNN 4 – Accelerate training and inference with batch normalization, tiled FFT, and NVIDIA Maxwell optimizations.
- DIGITS 3 – Get support for Torch and pre-defined AlexNet and Googlenet models

AlexNet + Caffe, Fwd Pass Convolutional Layers
GeForce TITAN X, Core i7-4930 on Ubuntu 14.04 LTS
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