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.
AI Infrastructure: Cloud GPUs
AI Infrastructure: Cloud GPUs
This course is part of Google Cloud AI Infrastructure Specialization
Instructor: Google Cloud Training
Access provided by The Adult Learning Department at DCPL
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
2 hours to complete
Flexible schedule
Learn at your own pace
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
Shareable certificate
Add to your LinkedIn profile
Assessments
1 assignment
Taught in English
Recently updated!
August 2025
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This course is part of the Google Cloud AI Infrastructure Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
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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