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A pod requesting one GPU stays Pending on a cluster with idle GPU nodes. Debug it.

Kubernetes does not see GPUs, it sees an extended resource that something has to advertise. When that advertisement is missing or wrong, the scheduler is behaving correctly and the node is lying.

Updated Sep 2026 · Grounded in researched DevOps, SRE and platform engineering interview loops, written to a senior-engineer editorial bar, and never padded to hit a word count.

Kubernetes does not see GPUs, it sees an extended resource that something has to advertise. When that advertisement is missing or wrong, the scheduler is behaving correctly and the node is lying.

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Next in this trackYour job pods never complete because the mesh sidecar keeps running. What changed in Kubernetes to fix this?Next in this trackA memory-hungry service needs a bigger request. Why has that always meant a restart, and what changed?Next in this trackShould we migrate from Ingress to Gateway API? Make the case either way.

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