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

How to run text-to-image with multi GPUs #1849

Open
surbanqq opened this issue Sep 14, 2024 · 2 comments
Open

How to run text-to-image with multi GPUs #1849

surbanqq opened this issue Sep 14, 2024 · 2 comments

Comments

@surbanqq
Copy link

Hello everyone, I am a newcomer to MLPerf.
I would like to know whether the text-to-image in inference supports multi-card testing. Currently, I see that there is no parameter to set multi-card in the parameters of " python main.py --help ".
and I saw the MLPerf inference Results, it has results of 2 L40s and 8 H100 . how do they run the test?
thanks a lot

@psyhtest
Copy link
Contributor

Hi @surbanqq! Reference code often supports only a single accelerator. But for their submissions vendors optimize including scaling to multiple accelerators. In the case of NVIDIA, please take a look at their v4.1 submission.

@surbanqq
Copy link
Author

thanks a lot

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants