Google Cloud
AI Infrastructure: Cloud TPUs
Google Cloud

AI Infrastructure: Cloud TPUs

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Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
3 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
3 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Discuss the advantages and disadvantages of using TPUs in different scenarios.

  • Choose the right TPU option to fit your specific needs

  • Implement strategies to maximize performance and efficiency when running business-related AI workloads on TPUs.

  • Explain the concept of GPU/TPU fungibility and its significance for creating flexible machine learning workflows.

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Recently updated!

August 2025

Assessments

1 assignment

Taught in English

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There are 2 modules in this course

This course will equip you to explain how Google's Tensor Processing Units (TPUs) can help business AI workloads. We'll explore the advantages and disadvantages of TPUs in various scenarios and compare different TPU accelerators to help you choose the right fit. You'll learn strategies to maximize performance and efficiency for your AI models and understand the significance of GPU/TPU interoperability for flexible machine learning workflows. Through engaging content and practical demos, we'll guide you step-by-step in leveraging TPUs effectively.

What's included

1 assignment11 plugins

Student PDF links to all modules

What's included

1 reading

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Google Cloud Training
Google Cloud
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