Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Launching the GPU instance anytime when checking the performance guarantee off #98

Open
icoxfog417 opened this issue Apr 1, 2022 · 0 comments
Labels
enhancement New feature or request

Comments

@icoxfog417
Copy link
Contributor

Is your feature request related to a problem? Please describe.
As a student, GPU allocation has more priority than performance when running the Jupyter Notebook materials that include models such as GAN/Transformer in their lecture. The medium performance GPU is enough but running on CPU causes the delay of progress of the time limited lecture.

Describe the solution you'd like
The students can run GPU instance anytime if they turn on the performance not guarantee GPU checkbox when launching the GPU instance.

Describe alternatives you've considered
The students give up using Studio Lab and select other free notebook service that they can use GPU.

Additional context

This issue is from #92

@icoxfog417 icoxfog417 added the enhancement New feature or request label Apr 1, 2022
@icoxfog417 icoxfog417 changed the title Choose the trade-off of GPU between the performance and allocation Launching the GPU anytime when checking the performance not guarantee Apr 1, 2022
@icoxfog417 icoxfog417 changed the title Launching the GPU anytime when checking the performance not guarantee Launching the GPU instance anytime when checking the performance guarantee off Apr 1, 2022
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request
Projects
None yet
Development

No branches or pull requests

1 participant