Intermittent Pod Issues: CUDA Errors and Pod Unresponsiveness
I'm experiencing intermittent but frequent issues with my pod running on the
runpod/pytorch:2.4.0-py3.11-cuda12.4.1-devel-ubuntu22.04 image. The pod becomes unresponsive in a way that resembles a crash, but without actually showing as down in the dashboard.
Problem Description:
- When the issue occurs, Jupyter Lab opens but shows no folders/files
- ComfyUI fails to start with CUDA errors (logs below)
- Basic commands like nvidia-smi don't work
- Restarting the pod temporarily resolves the issue
- This happens frequently, despite no changes to ComfyUI or plugins
Error logs when trying to run ComfyUI:
The nginx logs also show:
This began occurring recently, even though my setup was previously stable. There have been no changes to ComfyUI or its plugins.
Questions:
1. What might be causing this issue? Is it related to CUDA, GPU allocation, or something else?
2. Are there any logs I should check to better diagnose the problem?
3. Is there anything I can do to prevent these failures or make the pod more stable?
4. Is this a known issue with the PyTorch 2.4.0 image?
Any help would be greatly appreciated as this is disrupting my workflow significantly.
Thank you!4 Replies
Maybe its a problem with the server
Try reporting here
Nginx logs probably just show the comfyui is down/error
Wait, maybe it's a driver mismatch
Did you filter the driver to 12.4 and up in the create pod
no, might be a misunderstanding
im not using serverless
im using a on demand pod with a saving plan
maybe i should migrate my serevr to another pod, would that help?
sorry yes, you can also select cuda version when creating pod
yes try it
weird... after I reported this issue, it never happened again..😂