Curious about the powerful hardware behind AI? This module breaks down performance-optimized AI computers, showing you why they're so important. We'll explore how CPUs, GPUs, and TPUs make AI tasks super fast, what makes each one unique, and how AI software gets the most out of them. By the end, you'll know exactly how to pick the right compute for your AI projects, helping you make smart choices for your AI workkoads.



What you'll learn
Define the value and architecture of Graphics Processing Units (GPUs)
Select the appropriate GPU machine type and provisioning platform to run your GPU-accelerated clusters
Explore various techniques for optimizing your GPU usage
Skills you'll gain
Details to know

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August 2025
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There are 2 modules in this course
In this course, you'll learn how to effectively utilize Google Cloud GPUs for accelerating AI training and inference, including selecting appropriate options and optimizing performance.
What's included
1 assignment7 plugins
Student PDF links to all modules
What's included
1 reading
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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