Build a robust and cost-effective gen AI strategy

At Google Cloud, we often see customers asking themselves: "How can we manage our generative AI costs effectively without sacrificing the performance and availability our applications demand?" 

This is the million-dollar question — or, perhaps more accurately, the "tokens-per-minute" question. The key isn't just about choosing the cheapest option, but about finding the right recipe of tools and services that aligns with your  workload patterns.

This guide will walk you through Google Cloud's flexible gen AI  infrastructure options, showing you how to find that sweet spot on the efficient frontier between cost and performance. We'll start with the foundational pay-as-you-go (PayGo) models and then explore how to layer on more specialized options to build a robust and cost-effective gen AI strategy.

Understanding your foundation: Pay-as-You-Go (PayGo) options

For many workloads, Google Cloud's standard PayGo offerings provide a powerful and flexible starting point. To get the most out ...