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.

Sign up for GitHub

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

Jump to bottom

Memory consumption calculation skewed up desproportionally for smaller (<3G) deployments #525

Open
paulomach opened this issue Oct 31, 2024 · 1 comment
Open

Memory consumption calculation skewed up desproportionally for smaller (<3G) deployments #525

paulomach opened this issue Oct 31, 2024 · 1 comment
Assignees
@shayancanonical
Labels
bug Something isn't working

Comments

@paulomach
Copy link
Contributor

Memory allocation calculation is skewed up generating OOM kills.

This is impactine kubeflow bundle deployments constrained to 2G.

Local testing showed that setting configuration value to profile-limit-memory=1100 (~53%) equals to peak memory consumption ~2G.
@paulomach paulomach added the bug Something isn't working label Oct 31, 2024
@syncronize-issues-to-jira Syncronize issues to Jira
Copy link

Thank you for reporting us your feedback!

The internal ticket has been created: https://warthogs.atlassian.net/browse/DPE-5818.

This message was autogenerated

@shayancanonical shayancanonical self-assigned this Nov 14, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees

@shayancanonical shayancanonical

Labels
bug Something isn't working
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
2 participants
@paulomach @shayancanonical