/gke-ai-troubleshooting-tpu-slice-mig-stuck-updating
診斷並解決 GKE TPU Dynamic Slice 建立與 JobSet 排程失敗，原因是底層 Compute Engine 代管執行個體群組（MIG）停在更新中或不穩定狀態。
- 安裝次數
- 835
- 專案星數
- 2.2 萬 ★
- 授權
- Apache-2.0
- 專案更新
- 2026-11-02
怎麼裝
npx skills add https://github.com/google/skills --skill gke-ai-troubleshooting-tpu-slice-mig-stuck-updating安裝前請先看過原文內容。中文說明是 AI 翻譯，不保證安全。
原文
Diagnose and resolve GKE TPU Dynamic Slice creation and JobSet scheduling failures blocked by underlying Compute Engine managed instance groups (MIGs) stuck in an updating or unstable state (isStable=False). Use when TPU slice creation fails with a SliceCreationFailed status reason, when JobSets remain stuck in pending, or when MIG status reflects isStable=False or versionTarget.isReached=False during TPU slice formation. Don't use for SliceCreationFailed causes unrelated to MIG stability (use gke-ai-troubleshooting-tpu-dynamic-slices-monitoring) or general pod scheduling failures unrelated to TPU slices.