cuDNN Support Matrix

These support matrices provide a look into the supported versions of the OS, NVIDIA CUDA, the CUDA driver, and the hardware for the NVIDIA cuDNN 8.9.1 release.

1. GPU, CUDA Toolkit, and CUDA Driver Requirements

The following sections highlight the compatibility of NVIDIA® cuDNN versions with the various supported NVIDIA CUDA® Toolkit, CUDA driver, and NVIDIA hardware versions.
Table 1. GPU, CUDA Toolkit, and CUDA Driver Requirements
cuDNN Package1 CUDA Toolkit Version Supports static linking?2 NVIDIA Driver Version CUDA Compute Capability Supported NVIDIA Hardware
Linux Windows
cuDNN 8.9.1 for CUDA 12.x 12.1 Yes >=525.60.13 >=527.41

9.03

8.94

8.6

8.0

7.5

7.0

6.1

6.0

5.0

NVIDIA Hopper™5

NVIDIA Ada Lovelace architecture6

NVIDIA Ampere architecture

NVIDIA Turing™

NVIDIA Volta™

NVIDIA Pascal™

NVIDIA Maxwell®

12.0 No
cuDNN 8.9.1 for CUDA 11.x 11.8 Yes >= 450.80.02 >=452.39

11.7

11.6

11.5

11.4

11.3

11.2

11.1

11.0

No
Note: For best performance, the recommended configuration is cuDNN 8.9.1 on H100 with CUDA 12.0, and cuDNN 8.9.1 on all other GPUs with CUDA 11.8, because this is the configuration that was used for tuning heuristics.

2. CPU Architecture and OS Requirements

The following tables highlight the compatibility of cuDNN versions with the various supported OS versions.

For the requirements of previously released versions of cuDNN documentation, refer to the NVIDIA cuDNN Archives.

2.1. Linux

Refer to the following table to view the list of supported Linux versions for cuDNN.
Table 2. Linux Versions for cuDNN
Architecture OS Name OS Version Distro Information
Kernel GCC Glibc
x86_64 RHEL 9.x 5.14.0 8.5.0 2.34
8.x 4.18.0 8.5.0 2.28
7.x 3.10.0 4.8.5 2.19
Rocky 8.6 4.18 8.5.0 2.28
Ubuntu 22.04 5.15.0 11.2.0 2.35
20.04 5.15.0 9.4.0 2.31
18.04 4.15.0 8.2.0 2.27
Debian 11.4 5.10 10.2.1 2.31
ppc64le RHEL 8.x 4.18 8.5.0 2.28
AArch64 incorporates ARM® based CPU cores for Server Base System Architecture (SBSA). RHEL 8.x 4.18 8.5.0 2.28
Ubuntu 22.04 5.15.0 11.2.0 2.35
20.04 5.13.0 9.3.0 2.31

2.2. Windows

Windows 10 and Windows Server 2019 and 2016 are supported. Refer to the following table to view the list of supported Visual Studio versions for cuDNN.
Table 3. Visual Studio Versions Based on Your Version of CUDA
  CUDA 12.x - 11.8 CUDA 11.7 - 11.0
Visual Studio 2019 2017

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1 For the dynamic cuDNN libraries, the cuDNN build for CUDA 12.x is compatible with CUDA 12.x for all x, including future CUDA 12.x releases that ship after this cuDNN release. Similarly, the cuDNN build for CUDA 11.x is compatible with CUDA 11.x for all x. For the limitation when using the static cuDNN library, refer to this table and the NVIDIA cuDNN Release Notes for more information.
2 This column specifies whether the given cuDNN library can be statically linked against the CUDA toolkit for the given CUDA version. Dynamic linking is supported in all cases.
3 Requires CUDA Toolkit >= 11.8.
4 Requires CUDA Toolkit >= 11.8.
5 Requires CUDA Toolkit >= 11.8.
6 Requires CUDA Toolkit >= 11.8.