Home / BeaverDeck / Docs / Insights Guide / GPU Insights / GPU Node Scheduling

GPU Node Scheduling

BeaverDeck uses this check to identify a specific gpu condition that may need operator review.

Permissions: viewing checks requires insights: view. Opening a linked object or logs requires the corresponding resource permission, and the BeaverDeck ServiceAccount must be allowed to read the Kubernetes resources used by the check. Suppressing a finding requires insights: edit and affects all users.
Check typegpu-node-cordoned
Insights sectionGPU Insights
Alert severityWarning

When It Reports A Finding

A Node advertises GPU capacity and is marked unschedulable.

Why This Is A Problem

The cluster owns expensive GPU capacity that cannot accept new pods, reducing available headroom and potentially blocking GPU workloads.

Recommended Response

  1. Confirm whether the node is intentionally cordoned for maintenance or incident response.
  2. Complete the maintenance or drain procedure and verify GPU driver and node health.
  3. Uncordon the node only when it is safe to receive workloads.

Scope And Limitations

A cordoned GPU node during planned maintenance is expected. The check does not determine whether the maintenance state is justified.

After remediation: refresh GPU Insights and verify the underlying resource or metric. Suppress the finding only when the condition is intentional and its risk is accepted.