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

GPU Partitioning annotations are not properly cleaned up #26

Open
Telemaco019 opened this issue Mar 27, 2023 · 0 comments
Open

GPU Partitioning annotations are not properly cleaned up #26

Telemaco019 opened this issue Mar 27, 2023 · 0 comments
Labels
enhancement New feature or request

Comments

@Telemaco019
Copy link
Member

Telemaco019 commented Mar 27, 2023

Description

Uninstalling nos or disabling dynamic GPU partitioning on a node does not remove the node annotations set by nos.

Current behaviour

The following annotations are set by nos on the Nodes for which automatic GPU partitioning is enabled:

  • nos.nebuly.com/status-gpu-<index>-<mig-profile>-free: <quantity>
  • nos.nebuly.com/status-gpu-<index>-<mig-profile>-used: <quantity>
  • nos.nebuly.com/spec-gpu-<index>-<mig-profile>: <quantity>

After uninstalling nos or disabling dynamic GPU partitioning on a certain node, these annotations are not removed. Consequently, the next time nos is installed on the cluster or dynamic GPU partitioning is enabled on the node, nos might apply the previous desired GPU partitioning state.

Desired behaviour

Uninstalling nos or disable GPU partitioning on a node should clean up all the annotations previously set by nos.

@Telemaco019 Telemaco019 changed the title GPU Partitioning annotations are not removed when uninstalling nos GPU Partitioning annotations are not properly cleaned up Mar 27, 2023
@Telemaco019 Telemaco019 added the enhancement New feature or request label Mar 27, 2023
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