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gpu-incident-triage

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Atualizado23 de julho de 2026 ร s 03:12

Triage a GPU HARDWARE incident on a K8s GPU node (Xid errors, NVLink faults, UnexpectedAdmissionError, allocatable drop, GPU fell off the bus): collect a deterministic evidence bundle (kernel NVRM/Xid via node debug pod, device-plugin and DCGM logs, driver-pod nvidia-smi, node state, admission events, GPU pod timeline), apply safe first-response (cordon), upload the bundle to Google Drive, and post a detailed issue to Slack #problem-of-thakicloud via qa-issue-dedup-poster with thread follow-ups. Use when "GPU ์žฅ์• ", "Xid ์—๋Ÿฌ", "NVLink ์˜ค๋ฅ˜", "GPU๊ฐ€ ์•ˆ ์žกํ˜€์š”", "UnexpectedAdmissionError", "allocatable ์ค„์—ˆ๋‹ค", "GPU requires reset", "๋…ธ๋“œ GPU ์ฃฝ์Œ", "gpu incident", "hardware fault triage". Do NOT use for GPU utilization/capacity questions (use h200-gpu-usage-inspector), app-level demo QA (use ai-platform-autoqa / demo-* RCA skills), or GPU purchase planning (use gpu-capacity-procurement-planner).

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