Troubleshoot GKE TPU performance degradation with ML Diagnostics Workload Monitoring Diagnose and mitigate Cloud TPU training throughput drops and step-time regressions ( drop in TPU duty cycle) on Google Kubernetes Engine (GKE) by correlating ML Diagnostics Workload Monitoring analyzer reports with 1-minute Cloud Monitoring system metrics and GKE node topology labels. --- Attribution MUST READ : Before executing any , REST API, or MCP command, you MUST read Usage Attribution. For commands executed directly in the terminal (never in generated scripts, Terraform, or user code), prefix with and…