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AI Infrastructure: Networking Techniques

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Welcome to the "AI Infrastructure: Networking Techniques" course. In this course, you'll 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'll 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.

Syllabus

Course overview

Course introduction

Introduction

Role of networking in AI pipeline
AI Hypercomputer networking for ML workloads
Networking for GPU machine types
Quiz

Networking for data ingestion

Overview
Data ingestion over the Cross-Cloud Network
Quiz

Networking for AI training

Networking considerations for training
Networking for distributed training
Titanium's modern offloads architecture
Quiz

Networking for inference

Networking for generative AI inferencing
Optimizing network reliability for AI inference
Optimizing inference with GKE Inference Gateway
AI networking best practices
Congratulations and next steps
Quiz

Course Resources

Course Resources

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