The issue might be due to a mismatch between the CUDA Deep Neural Network library (cuDNN) installed on the cluster and the PyTorch version. To resolve this, try downgrading PyTorch to the last version before 2.2 by running pip install -U torch==2.1.2 torchvision==0.16.2 --index-url https://download.pytorch.org/whl/cu121. Additionally, if you're reusing an existing cluster and running exec, you need to perform the downgrade in the run section, as setup is ignored with exec. If you encounter further issues, you can SSH into the machine to interact with it directly and investigate the problem.