Support Matrix
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.
cuDNN Package 1 |
Supports static linking? 2 |
NVIDIA Driver Version for Linux |
NVIDIA Driver Version for Windows |
Supported NVIDIA Hardware |
||
---|---|---|---|---|---|---|
cuDNN 9.0.0 for CUDA 12.x |
12.3 |
Yes |
>=525.60.13 |
>=527.41 |
||
cuDNN 9.0.0 for CUDA 12.x |
|
No |
>=525.60.13 |
>=527.41 |
||
cuDNN 9.0.0 for CUDA 11.x |
11.8 |
Yes |
>= 450.80.02 |
>=452.39 |
||
cuDNN 9.0.0 for CUDA 11.x |
No |
>= 450.80.02 |
>=452.39 |
|
|
Note
For best performance, the recommended configuration for GPUs Volta or later is cuDNN 9.0.0 with CUDA 12.3. For GPUs prior to Volta (that is, Pascal and Maxwell), the recommended configuration is cuDNN 9.0.0 with CUDA 11.8. These are the configurations used for tuning heuristics.
CPU Architecture and OS Requirements
The following tables highlight the compatibility of cuDNN versions with the various supported OS versions.
Linux
Refer to the following table to view the list of supported Linux versions for cuDNN.
Architecture |
OS Name |
OS Version |
Distro Information: Kernel |
Distro Information: GCC |
Distro Information: Glibc |
---|---|---|---|---|---|
x86_64 |
RHEL |
9.x |
5.14.0 |
8.5.0 |
2.34 |
x86_64 |
RHEL |
8.x |
4.18.0 |
8.5.0 |
2.28 |
x86_64 |
RHEL |
7.x |
3.10.0 |
4.8.5 |
2.19 |
x86_64 |
Rocky |
8.6 |
4.18 |
8.5.0 |
2.28 |
x86_64 |
Ubuntu |
22.04 |
5.15.0 |
11.2.0 |
2.35 |
x86_64 |
Ubuntu |
20.04 |
5.15.0 |
9.4.0 |
2.31 |
x86_64 |
Debian |
11.4 |
5.10 |
10.2.1 |
2.31 |
AArch64 incorporates ARM based CPU cores for Server Base System Architecture (SBSA). |
RHEL |
9.x |
5.14.0 |
8.5.0 |
2.23 |
AArch64 incorporates ARM based CPU cores for Server Base System Architecture (SBSA). |
RHEL |
8.x |
4.18 |
8.5.0 |
2.28 |
AArch64 incorporates ARM based CPU cores for Server Base System Architecture (SBSA). |
Ubuntu |
22.04 |
5.15.0 |
11.2.0 |
2.35 |
AArch64 incorporates ARM based CPU cores for Server Base System Architecture (SBSA). |
Ubuntu |
20.04 |
5.14.0 |
9.3.0 |
2.31 |
Note
For platforms that ship a compiler version older than GCC 6 by default, linking to static cuDNN using the default compiler is not supported.
For RHEL 8.9 and Rocky 8.9 Linux, the R525 and later display driver is needed.
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.
CUDA 12.x - 11.8 |
CUDA 11.7 - 11.0 |
|
---|---|---|
Visual Studio |
2019 |
2017 |
Footnotes
- 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 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(1,2,3,4,5,6,7,8,9,10,11,12)
Requires CUDA Toolkit >= 11.8.
- 4(1,2,3)
Functionalities that perform runtime compilation such as the runtime fusion engines, and the persistent dynamic algorithm of RNN, requires NVRTC from CUDA Toolkit 11.2 update 1 or later.