While OpenCL sounds attractive because of its generality, it hasn’t performed as well as CUDA on NVIDIA GPUs, and many deep learning frameworks either don’t support OpenCL or only support it ...

CUDA is Nvidia’s API for its general purpose ... If the current progress is anything to go by, PyTorch should be as good as any deep learning framework by the time of the PyTorch 1.0 release ...

Nvidia runs the Deep Learning Institute (DLI), through which it helps developers learn to use frameworks to design, train, and deploy neural network-powered machine learning for a variety of ...

This week yielded a new benchmark effort comparing various deep learning frameworks on a short list of CPU and GPU ... CPU only versions because of high parallelization on lots of CUDA cores,” the ...

The NVIDIA ® DIGITS™ Deep Learning GPU Training System version 2 (DIGITS 2) and NVIDIA CUDA ® Deep Neural Network ... versions of the deep learning frameworks Caffe, Minerva, Theano and ...

This combines pre-compiled deep learning frameworks (Caffe, Torch, Theano, and OpenBLAS) into one package aimed at Ubuntu 16.04 running on an IBM Power processor, Nvidia CUDA v8.0, and Nvidia ...

TensorFlow works seamlessly on Linux, allowing developers to leverage NVIDIA CUDA and TensorRT for faster computations. PyTorch, developed by Facebook's AI Research Lab, is another popular deep ...