runai-audit-assigned-quota

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Overview

This NVIDIA skill audits how fairly GPU quota is shared on a Run:ai cluster. For each node pool it shows which projects get less than their deserved quota, which are borrowing over it, and where GPUs could be reclaimed, comparing deserved and allocated GPUs by project or department.

Use cases

GPU quota management
GPU cluster administration
Run:ai
Resource allocation audit

Alternatives

runai-get-utilization-overviewFinds GPUs on a Run:ai cluster that are held but sitting idle.nvidia
runai-get-cluster-health-summaryGives a health verdict for each node pool on a Run:ai GPU cluster.nvidia
runai-get-workload-health-summarySummarizes the health of Run:ai workloads or a single workload.nvidia
doca-bench-extensionNVIDIA skill for writing and debugging custom doca-bench plug-ins.nvidia
doca-container-deploymentNVIDIA skill for deploying in-bundle DOCA service containers on BlueField with kubelet.nvidia
doca-setupNVIDIA skill for preparing and verifying the DOCA environment around a workload.nvidia

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