You can now create Cloud Tensor Processing Unit (TPU) nodes in Google Kubernetes Engine (GKE) to run AI workloads, from training to inference models

## Announcement You can now create Cloud Tensor Processing Unit (TPU) nodes in Google Kubernetes Engine (GKE) to run AI workloads, from training to inference models. GKE manages your cluster by automating TPU resource provisioning, scaling, scheduling, repairing, and upgrading. GKE provides TPU infrastructure metrics in Cloud Monitoring, TPU logs, and error reports for better visibility and monitoring of TPU node pools in GKE clusters. TPUs are available with GKE Standard clusters. GKE supports TPU v4 in version 1.26.1.gke-1500 and later, and supports TPU v5e in version 1.27.2-gke.1500 and later. To learn more, see [TPUs in GKE introduction](https://cloud.google.com/tpu/docs/tpus-in-gke).