Individual skill
gke-ai-troubleshooting-node-unresponsive-timeout
Diagnose and mitigate GKE TPU or GPU nodes stuck in NotReady / NodeStatusUnknown ("Kubelet stopped posting node status") due to host kernel panics, hardware lockups, or disabled node auto-repair. Use when nodes stop heartbeating beyond the node auto-repair threshold and pods remain stuck in Terminating. Don't use for healthy nodes, pod-only application crashes, or routine GKE upgrades.
skills/cloud/gke-ai-troubleshooting-node-unresponsive-timeout/SKILL.md
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- Last checked
- Nov 4, 2026
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- Repository last updated
- Nov 7, 2026
- License
- Apache-2.0
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- google Repository topic
- googlecloud Repository topic
- skills Repository topic
- engineering Derived category
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Read excerpt
# Troubleshoot unresponsive GKE TPU and GPU nodes (`NodeStatusUnknown`)
When the Compute Engine host of a TPU or GPU node has a fatal hardware error,
kernel panic, or non-maskable interrupt (NMI) lockup, the guest OS stops
responding. The kubelet can no longer send heartbeats, so the node `Ready`
condition becomes `Unknown` with `Reason: NodeStatusUnknown` (`Kubelet stopped
posting node status.`). If node auto-repair is disabled on the node pool, GKE
doesn't repair the node. The node can stay `NotReady`, and pods on it can stay
in `Terminating`, which blocks multi-host `JobSet` workloads from recovering.
## Attribution
**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you
MUST read [Usage Attribution](references/attribution.md). For commands executed