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
What You'll Learn
- Optimize data transfer across AI system components on Google Cloud
- Apply low-latency, high-bandwidth networking techniques
- Analyze the role of networking across the AI pipeline
- Implement best practices to maximize workload performance
Prerequisites
- Basic familiarity with networking and cloud computing concepts
- Readiness to engage in practical demonstrations
Instructors
Google Cloud Training