CUDANN

Introduction

The NVIDIA CUDA Deep Neural Network library (cuDNN) is a GPU-accelerated library of primitives for deep neural networks. cuDNN provides highly tuned implementations for standard routines such as forward and backward convolution, pooling, normalization, and activation layers. cuDNN is part of the NVIDIA Deep Learning SDK.

Deep learning researchers and framework developers worldwide rely on cuDNN for high-performance GPU acceleration. It allows them to focus on training neural networks and developing software applications rather than spending time on low-level GPU performance tuning. cuDNN accelerates widely used deep learning frameworks, including Caffe2, MATLAB, Microsoft Cognitive Toolkit, TensorFlow, Theano, and PyTorch. For access to NVIDIA optimized deep learning framework containers, visit NVIDIA GPU CLOUD to learn more and get started.

Web Pages

Official Webpage

Versions

8.0

Flavours

default

Architecture

ppc64le

Group
module load cv-ppc64le

7.5

Flavours

default

Architecture

ppc64le

Group
module load cv-ppc64le