TPU regions and zones

Google Cloud uses regions, subdivided into zones, to define the geographic location of physical compute resources. For example, the us-central1 region denotes a region near the geographic center of the United States.

Google Cloud also offers AI zones which are specialized Google Cloud zones for AI/ML training and inference workloads. They provide significant ML accelerator (GPU/TPU) capacity. AI zones are geographically located typically within a 5ms radius from standard Google Cloud zones. For more information see About AI zones.

When you create a TPU VM, you specify the zone in which you want to create it. For more information about regional and zonal resources, see Compute Engine Global, regional, and zonal resources. You can create TPU VMs in the zones shown in the following table.

North America

TPU type (TPU7x) TPU cores Supported zones
All TPU7x configurations Varies by slice size
  • us-central1-ai1a
  • us-central1-c
TPU type (v6e) TPU cores Supported zones
All v6e configurations Varies by slice size
  • us-central1-b
  • us-east1-d
  • us-east5-a
  • us-east5-b
  • us-south1-ai1b
TPU type (v5p) TPU cores Supported zones
All v5p configurations Varies by slice size
  • us-central1-a
  • us-east5-a
TPU type (v5e) TPU cores Supported zones
All v5e configurations Varies by slice size
  • us-central1-a
  • us-south1-a
  • us-west1-c
  • us-west4-a
TPU type (v4) TPU cores Supported zones
All v4 configurations Varies by slice size
  • us-central2-b
TPU type (v3) TPU cores Supported zones