03
AI Infrastructure: Cloud TPUs
03
AI Infrastructure: Cloud TPUs
Welcome to the Cloud TPUs course. 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.
Course Info
Objectives
- 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.
Prerequisites
Google Cloud Fundamentals: Core Infrastructure
Getting Started with Google Kubernetes Engine
Architecting with Google Kubernetes Engine: Workloads
Architecting with Google Kubernetes Engine: Production
AI Infrastructure: Introduction to AI Hypercomputer
Audience
Customers , Partners
Available languages
English
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