GCP AI Cost Management

Optimize costs for AI and ML workloads on Google Cloud Platform. Learn to leverage preemptible and spot VMs, committed use discounts, budget alerts, and cost optimization strategies to maximize value from your AI infrastructure investment.

Start Course →
6
Lessons
25+
Examples
~2hr
Total Time
☁
Cloud

Course Lessons

Follow the lessons in order or jump to any topic.

Beginner

1. Introduction

Understanding AI cost drivers on GCP and building a cost management strategy.

10 min read →
 Beginner

2. Preemptible VMs

Save up to 91% on GPU compute with preemptible and spot VMs for training workloads.

12 min read →
 Intermediate

3. CUDs

Committed Use Discounts for predictable GPU workloads with 1 and 3-year commitments.

12 min read →
 Intermediate

4. Budget Alerts

Set up budgets, alerts, and automated cost controls to prevent billing surprises.

12 min read →
 Advanced

5. Optimization

Advanced strategies: right-sizing, scheduling, storage tiering, and FinOps practices.

15 min read →
 Advanced

6. Best Practices

Organizational cost management patterns, dashboards, and governance for AI spending.

12 min read →