'GPU not available error' even when starting the project in 'GPU mode' about studio-lab-examples HOT 3 CLOSED

Thanks for your response. Switching to 'sagemaker-distribution' (instead of using 'default') kernel actually fixed the problem.

You've to be very lucky to get 'GPU' compute type. In last 3+ weeks time, I was able to get 'GPU' access 3 times only.
I find this platform much better and would like to use it more more often than others (Google Colab, Kaggle etc.) and I'm hopeful 'GPU' compute type availability will improve in future.
But, I'm really thankful to you people for providing free GPU hrs for students and AI Researches like me.

from studio-lab-examples.

Could you please try sagemaker-distribution? I confirmed torch.cuda.is_available() is True in this environement.

(studiolab) studio-lab-user@default:~$ conda activate sagemaker-distribution
(sagemaker-distribution) studio-lab-user@default:~$ python
Python 3.8.17 | packaged by conda-forge | (default, Jun 16 2023, 07:06:00) 
[GCC 11.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>> torch.cuda.is_available()
True

from studio-lab-examples.

I am glad to here you solved the problem! We are working hard to allocate limited GPU (for me, getting GPU is hard work). Thank you for your patience.

from studio-lab-examples.