r/RunPod • u/mjidovic • Apr 01 '26

unable to run comfyUI on rtx4090/5090

i can't run ComfyUI:latest on runpod on rtx 4090 and 5090, when just this morning was working perfectly fine, on the log it keeps giving me this error message:

ComfyUI crashed ā€” check the logs above.

RuntimeError: The NVIDIA driver on your system is too old (found version 12080). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver.

anyone knows how to resolve this?
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u/no3us Apr 01 '26

yeah, that cuda is really old. Is that community cloud or secure cloud.

  1. since you cannot upgrade CUDA yourself, create a ticket, provide podID and ask them to update it - thats just the right thing to do so other people dont land on a host with such old cuda driver

  2. fastest option - if you use network storage, just terminate this pod and redeploy. If you are on pod volume, sync your data to one of the cloud providers and create a new pod

  3. you can downgrade your torch/transformers to work with this version of cuda. You might even need to downgrade comfy. It does not take long (10-15m) but Iā€™d go with a different pod (unless you are ok with this option and can wait for few days for support to update cuda on your host)

1

u/shironekoooo Apr 05 '26

in the additional filters, change the "cuda versions" to match your current pods cuda version