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AI Infrastructure: Introduction to AI Hypercomputer
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AI Infrastructure: Introduction to AI Hypercomputer
Ready to get started with AI Hypercomputers? This course makes it easy! We'll cover the basics of what they are and how they help AI with AI workloads. You'll learn about the different components inside a hypercomputer, like GPUs, TPUs, and CPUs, and discover how to pick the right deployment approach for your needs.
Course Info
Objectives
- Define the value and architecture of the AI Hypercomputer
- Identify common use cases for using AI Hypercomputer
- Explain how different types of accelerators (GPUs, TPUs, CPUs) contribute to the acceleration of AI training and inference.
- Differentiate between various deployment options and choose the options that best suits your requirements.
Prerequisites
Google Cloud Fundamentals: Core Infrastructure
Getting Started with Google Kubernetes Engine
Audience
Customers , Partners
Available languages
English