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AI Infrastructure: Networking Techniques

Welcome to the ""AI Infrastructure: Networking Techniques"" course. While AI Hypercomputer is renowned for its massive computational power using GPUs and TPUs,...

By Google Cloud Training on Coursera

About This Course

Welcome to the ""AI Infrastructure: Networking Techniques"" course. While AI Hypercomputer is renowned for its massive computational power using GPUs and TPUs, the secret to unlocking its full potential lies within the network. High-performance computing and large-scale model training demand incredibly fast, low-latency connections to continuously feed processors with data. In this course, you will learn to leverage Google Cloud's high-bandwidth, low-latency infrastructure to optimize data transfer and communication between all the components of your AI system. By the end, you will grasp the critical role networking plays across the entire AI pipeline from data ingestion and training to inference and be able to apply best practices to ensure your workloads run at maximum speed.

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Frequently Asked Questions

How much does AI Infrastructure: Networking Techniques cost?

Visit the AI Infrastructure: Networking Techniques course page for current pricing and available discounts.

Who teaches AI Infrastructure: Networking Techniques?

AI Infrastructure: Networking Techniques is taught by Google Cloud Training, Google Cloud.

What skill level is AI Infrastructure: Networking Techniques for?

This course is designed for all levels learners.

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Students0
DurationSelf-paced
LevelAll Levels
Languageen
PlatformCoursera