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:
[2025-04-05 22:23:38.296] RuntimeError: Unexpected error from cudaGetDeviceCount(). Did you run some cuda functions before calling NumCudaDevices() that might have already set an error? Error 304: OS call failed or operation not supported on this OS


The nginx logs also show:
2025/04/05 20:09:35 [error] 322#322: *13468 upstream timed out (110: Unknown error) while connecting to upstream, client: ****, server: _, request: "POST /prompt HTTP/1.1", upstream: "****", host: "****"


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!
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