Datadog's Google Cloud integration provides granular visibility into Google Cloud Tensor Processing Units (TPUs) utilization, performance, and resource consumption, enabling organizations to optimize training costs with performant workloads. Datadog collects metrics and logs from TPUs, providing a centralized view of TPU usage across virtual machines, GKE, custom job runners, and more. The platform offers an out-of-the-box dashboard for quickly visualizing TPU metrics, recommended monitors for alerting to rightsizing opportunities, and additional granularity on TPU workers with visibility into instance uptime, resource usage, and network traffic. By leveraging Datadog's integration, organizations can detect resource bottlenecks, underutilization, and optimize performance, ultimately achieving stronger model throughput at lower costs.