R
Runpod•7mo ago
Anton

Serverless endpoint fails with CUDA error

Hi! I have a WhisperX image, here is the repo that I used for the image: https://github.com/kodxana/whisperx-worker. One of the runpod workers for that image started throwing CUDA failed with the error CUDA capable device is a busy or unavailable error in response to every request. Once this worker was restarted, everything was fixed. The problem is that it failed 18 requests before we found the error and fixed it. It is the first time this error has happened. Is there a way to properly set up notifications if the worker fails a lot of requests, or maybe restart the worker if a few requests fail? And what could cause this error?
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Unknown User
Unknown User•7mo ago
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Anton
AntonOP•7mo ago
Thanks! I set it up. So, as far as I see, it is possible that once a few new CUDA versions are released, I'll have to double-check that there are GPUs that are not available for the selected versions and remove the unhealthy version in case there are? And what about notifications for such cases? For some reason, the worker wasn't unhealthy; it only started trotting after 1 hour of returning errors, so I'd like to set up a notification if there are a lot of fails and, if possible, without writing a custom microservice for that 😅
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Unknown User•7mo ago
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