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AI Infrastructure: Deployment Types

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Latihan ini merupakan bagian dari kursus

AI Infrastructure: Deployment Types

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Mulai Kursus Gratis

This module offers an overview of the course and outlines the learning objectives.

Exercise 1: What's in it for me?

This module details the AI Hypercomputer cluster creation process. It covers the key decisions required, including choosing a machine type, consumption option, deployment option, orchestrator, and cluster image.

Exercise 1: Process overview Exercise 2: Choosing a machine type Exercise 3: Choosing the consumption option Exercise 4: Choosing the deployment options Exercise 5: Choosing an orchestrator Exercise 6: Choosing an image Exercise 7: Quiz Question 1

This module identifies key configuration options and optimization techniques for deploying an AI Hypercomputer cluster on Google Compute Engine (GCE). It covers selecting machine types, accelerator OS images, deployment options, and strategies for optimizing network performance.

Exercise 1: Choosing a GCE machine type Exercise 2: Choosing a GCE deployment option Exercise 3: Networking for GCE instances Exercise 4: Reference architecture Exercise 5: Quiz Question 1 Exercise 6: Quiz Question 2

This module identifies configuration options for deploying an AI Hypercomputer cluster on Google Kubernetes Engine (GKE). It covers containerization, GKE modes of operation, networking configurations, and workload optimization techniques like distributed training and GPU sharing.

Exercise 1: Containerizing an AI application Exercise 2: Networking for GKE cluster deployments Exercise 3: Optimizing an AI workload Exercise 4: GPU sharing strategies Exercise 5: Quiz Question 1 Exercise 6: Quiz Question 2 Exercise 7: Quiz Question 3

This module examines optimization techniques for architecting an inference workload on GKE. It covers the GKE inference workflow, key infrastructure, and model-level optimizations.

Exercise 1: Architecting for inference on GKE Exercise 2: GKE inference reference architecture Exercise 3: Optimizing inference with GKE Inference Gateway Exercise 4: Congratulations and next steps Exercise 5: Quiz Question 1 Exercise 6: Quiz Question 2

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Exercise 1: Course resources

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