To set up a TPU cluster in Google Cloud, configure a TPU-enabled VM via gcloud, install dependencies, and run a TensorFlow program using the TPU strategy.
Here are the steps you can refer to:
1: Create a TPU-enabled VM on Google Cloud

2: SSH into the VM

3: Run TensorFlow code on TPU

In the above code we are using the following key points:
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Uses TPUClusterResolver to connect to GCP TPU hardware.
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Initializes TPU system and wraps training in TPUStrategy.
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Demonstrates a basic Keras model training on synthetic data.
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Utilizes Google Cloud CLI to automate TPU VM provisioning.
Hence, by provisioning a TPU-enabled VM on Google Cloud and utilizing TensorFlow’s TPU APIs, this script demonstrates efficient setup and execution of distributed deep learning on TPUs.