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 8.8.0 release.
The following sections highlight the compatibility of NVIDIA® cuDNN versions with the various supported NVIDIA CUDA® Toolkit, CUDA driver, and NVIDIA hardware versions.
For the CUDA driver requirements for a given CUDA Toolkit version, refer to the CUDA Compatibility documentation.
|cuDNN Package1||Supported NVIDIA Hardware||CUDA Toolkit Version||CUDA Compute Capability||Supports static linking?2|
|cuDNN 8.8.0 for CUDA 12.x||12.0||SM 5.0 and later||Yes|
|cuDNN 8.8.0 for CUDA 11.x||11.8|
|11.7||SM 5.0 - SM 8.7|
For best performance, the recommended configuration is cuDNN 8.8.0 on H100 with CUDA 12.0, and cuDNN 8.8.0 on all other GPUs with CUDA 11.8, because this is the configuration that was used for tuning heuristics.
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.
Refer to the following table to view the list of supported Linux versions for cuDNN.
|Architecture||OS Name||OS Version||Distro Information|
|AArch64 incorporates ARM® based CPU cores for Server Base System Architecture (SBSA).||RHEL||8.x||4.18||8.5.0||2.28|
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|
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