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What are the minimum requirements for GPU training of neural networks in the Wolfram Language?

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Please note that CUDALink and GPU training of neural networks are separate features with separate requirements. If you are looking for the CUDALink requirements, please consult the appropriate article.

To use NetTrain with a GPU in the Wolfram Language, the NVIDIA GPU in your machine has to be compatible with a supported CUDA Toolkit version, and the NVIDIA driver has to be up to date.

Wolfram Language Version NVIDIA Driver Version Compute Capability
Linux Windows macOS
14.1 510.47 511.65 N/A 3.7
14.0 510.47 511.65 N/A 3.7
13.3 510.47 511.65 N/A 3.7
13.2 495.29 496.04 N/A 3.7
13.1 495.29 496.04 N/A 3.7
13.0 470.42 471.41 N/A 3.7
12.3 460.27 460.82 N/A 3.7
12.2 460.27 460.82 N/A 3.7
12.1 418.39 418.96 418.105 3.7
12.0 410.48 411.31 410.130 3.0
11.3 390.46 391.29 387.128 3.0

GPU training of neural networks is no longer supported on macOS starting with Wolfram Language 12.2, as Apple dropped macOS support of CUDA.

For more compatibility information, please see NVIDIA’s CUDA compatibility documentation.

In case of any inconsistency with their information, please contact NVIDIA.

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