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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
Support
Resources
Cross-product tools
More
Console
Discover
Introduction to Cloud TPU
TPU architecture
TPU versions
TPU7x (Ironwood)
TPU v6e
TPU v5p
TPU v5e
TPU v4
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
About TPU reservations
Request a reservation for up to 90 days (in calendar mode)
Request a future reservation for one year or longer
Share a reservation
Consume a reservation
Create TPUs
TPU creation overview
Create a TPU VM instance
Create TPU Flex-start VMs
Create TPU Spot VMs
TPU instances in MIGs
Create a MIG for a multi-host TPU slice
Create a MIG for single-host TPU slices
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
Storage options for TPU VMs
Storage best practices
Attach storage disks
Connect to Cloud Storage buckets
Manage TPUs
Manage TPU resources with Compute Engine
Manage maintenance events in managed capacity mode
Manage TPUs in All Capacity mode
All Capacity mode overview
Request an All Capacity mode reservation
View the topology and health of All Capacity mode TPUs
Report and repair faulty hosts in All Capacity mode
Manage maintenance events 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
Convert an image classification dataset for use with Cloud TPU
Download, pre-process and upload the ImageNet dataset
Download, pre-process and upload the COCO dataset
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
Overview
Set up GKE
Get started with the SDK
Get started with the CLI
Use ML Diagnostics with MaxText
View machine learning runs
Monitor workloads
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
Set up a Google Cloud project
Create TPUs
Consume a reservation
Run JAX on Cloud TPU VM
Run PyTorch on Cloud TPU VM
Run JAX on Cloud TPU slices
Run PyTorch on Cloud TPU slices
