Support Matrix — NVIDIA cuDNN Backend (original) (raw)

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.

Note

• For best performance, the recommended configuration for GPUs Volta or later is cuDNN 9.10.2 with CUDA 12.9. For GPUs prior to Volta (that is, Pascal and Maxwell), the recommended configuration is cuDNN 9.10.2 with CUDA 11.8. These are the configurations used for tuning heuristics.
• cuDNN 9 supports only CUDA 12.x on ARMv8 (aarch64-jetson).

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.

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.
• The Conda package for cuDNN can be installed on any combination of architecture and OS in the preceding table.

Windows#

Windows 10, Windows 11, and Windows Server 2022 are supported. Refer to the following table to view the list of supported Visual Studio versions for cuDNN.

Note

The Conda package for cuDNN can be installed on any supported Windows version.

Footnotes