NVIDIA cuDNN

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On the record

Framework integrations

NVIDIA lists PyTorch, JAX, Caffe2, Chainer, Keras, MATLAB, MxNet, PaddlePaddle, and TensorFlow among the frameworks cuDNN accelerates.developer.nvidia.com · read 11 Oct 2026

Frontend

NVIDIA recommends its open-source Python/C++ Frontend API for accessing the Graph API, with a lower-level C Backend API also available.developer.nvidia.com · read 11 Oct 2026

Fusion

cuDNN supports flexible fusions around matrix multiplication and convolution, plus specialized patterns such as attention and convolution with normalization.developer.nvidia.com · read 11 Oct 2026

Graph API

The cuDNN Graph API represents operations as nodes and tensors as edges.developer.nvidia.com · read 11 Oct 2026

Installation

NVIDIA provides cuDNN downloads and installation options including pip, Docker, and package managers.developer.nvidia.com · read 11 Oct 2026

Installation limit

Only one CUDA Toolkit version of cuDNN 9 can be installed at a time.docs.nvidia.com · read 11 Oct 2026

License

Downloading and using cuDNN requires compliance with the NVIDIA Software License Agreement.developer.nvidia.com · read 11 Oct 2026

Operations

It provides tuned implementations for convolution, attention, matrix multiplication, pooling, and normalization.developer.nvidia.com · read 11 Oct 2026

Purpose

cuDNN is a GPU-accelerated library of primitives for deep neural networks.developer.nvidia.com · read 11 Oct 2026

Requirements

cuDNN requires compatible operating system, CUDA, driver, and NVIDIA hardware versions, and the current compatibility details are in its support matrix.docs.nvidia.com · read 11 Oct 2026

Security

NVIDIA’s cuDNN page directs users to report security vulnerabilities or NVIDIA AI concerns.developer.nvidia.com · read 11 Oct 2026

Support

NVIDIA provides cuDNN documentation and a developer forum from the product page.developer.nvidia.com · read 11 Oct 2026

Supported platforms

The cuDNN backend is supported on Linux and Windows.docs.nvidia.com · read 11 Oct 2026

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