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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.
TPU types with higher numbers of chips or cores are available only in limited
quantities. TPU types with lower chip or core counts are more likely to be
available.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-01-17 UTC."],[],[]]