-
Notifications
You must be signed in to change notification settings - Fork 31
Documentation for Rapids on Modal apps #646
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
Conversation
|
lgtm! thanks naty |
|
Maybe mention that Modal includes $30/month in free compute credits for all accounts, which is enough for ~10 hours of H100 time at current rates? |
jacobtomlinson
left a comment
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Thanks @ncclementi, I left a few comments.
@charlesfrye I don't think we can mention the amount of included credits or specific GPU models because those things may change over time. I would be happy for us to write something more evergreen like mentioning modal has a free-tier and link to your pricing page, provided there is high confidence there will always be a free-tier.
|
@jacobtomlinson yep, there will always be a free tier with included credits |
|
/merge |
This PR documents how to run a simple case of cudf.pandas accelerator on Modal, using their
@app.functiondecorator.I had to document a few caveats regarding the python installation, and the limitation on using the default RMM mode.
Out of the scope of this PR:
cc: @charlesfrye for visibility if you want to take a look at the docs.