Architecture Framework: AI and ML perspective

Last reviewed 2024-10-11 UTC

This document in the Google Cloud Architecture Framework describes principles and recommendations to help you to design, build, and manage AI and ML workloads in Google Cloud that meet your operational, security, reliability, cost, and performance goals.

The target audience for this document includes decision makers, architects, administrators, developers, and operators who design, build, deploy, and maintain AI and ML workloads in Google Cloud.

The following pages describe principles and recommendations that are specific to AI and ML, for each pillar of the Google Cloud Architecture Framework:

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Operational excellence