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Cloud TPU

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Overview Guides Reference Samples Support Resources

Technology areas
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- Overview
- Guides
- Reference
- Samples
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Console

Discover
Introduction to Cloud TPU
TPU architecture
TPU versions
Regions and zones
Cloud TPU resources in Compute Engine
JAX AI stack
Get started
Set up a Google Cloud project
Quickstarts
- Create a TPU instance
- Create a multi-host TPU slice
Plan your Cloud TPU resources
Reserve TPUs
Create TPUs
Configure TPUs
Configure networking and access
TPU OS images
Use a custom OS image
Encrypt a TPU VM boot disk with a CMEK
Use a cross-project service account
Manage storage
Manage TPUs
Manage TPU resources with Compute Engine
Manage maintenance events in managed capacity mode
Manage TPUs in All Capacity mode
Multislice training
Schedule TPU collections for inference workloads
Run workloads
Train a model using TPU7x
Run inference on Cloud TPU
Train on Cloud TPU slices
Scale a model on TPUs
Work with image datasets
Optimize performance
Cloud TPU performance guide
Improve your model's performance with bfloat16
TPU7x (Ironwood) performance optimizations
Monitor and troubleshoot TPUs
Monitor TPU VMs
Monitor TPU health
Monitor TPU goodput
TPU monitoring library
Monitor with tpu-info CLI
Troubleshoot PyTorch models
Troubleshoot JAX models
ML Diagnostics platform
Profile TPUs
Profile TPU VMs
Profile Multislice environments
Profile PyTorch/XLA workloads
Cloud TPU API
Discover
- TPU software versions
- TPU versions
  - TPU v3
  - TPU v2
Get started
Configure TPUs
Manage TPUs
Run workloads
Monitor and troubleshoot TPUs
Tutorials and notebooks

AI and ML
Application development
Application hosting
Compute
Data analytics and pipelines
Databases
Distributed, hybrid, and multicloud
Industry solutions
Migration
Networking
Observability and monitoring
Security
Storage

Access and resources management
Costs and usage management
Infrastructure as code
SDK, languages, frameworks, and tools

Home
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Cloud TPU
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TPU software versions

Caution: This page applies to the Cloud TPU API, which is no longer under active development. The Cloud TPU API will receive bug fixes and security updates only. For the latest features and support for the latest TPU versions, we recommend using Compute Engine or Google Kubernetes Engine to manage TPU resources. For more information, see TPU resources in Compute Engine and