Does tensorflow 2.10 or 2.11 support support cuda 11.6?

I am trying to download deep lab cut. I have a GPU, Cuda, and cuDNN ready to go, but I can’t find info about TensorFlow compatibility with CUDA after the TF version 2.9.0.


Welcome to the Tensorflow Forum!

No, Please refer to the below tested build configurations

Note: All the existing Tensorflow nightlies and Tensorflow 2.12 (yet to release) are compatible with CUDA 11.8 support.

Thank you!

Could you please update this to the page 从源代码构建  |  TensorFlow ?
Seems the page hasn’t been updated for some time.


Thanks for reporting.

Hi @chunduriv , I have a machine with CUDA 11.6. Is Tensorflow 2.12.0 compatible with this version of CUDA? Or if not, is this on the future roadmap? Thanks


I don’t think it is on road map. According to tested build configurations latest tensorflow 2.12 is compatible with CUDA 11.8.

Thank you!

Ok thanks @chunduriv. Do I need to install Visual Studio on my machine for Tensorflow 2.12.0 to identify CUDA version 11.8 GPU on my machine? If yes, then what components of Visual Studio do I need to install? Thanks for your assistance in advance.

I have upgraded the version of CUDA to 11.8, however, when I run the below code, the result is ‘0’.

print("Num GPUs Available: ", len(tf.config.list_physical_devices(‘GPU’)))

Am I missing something?


1 Like