Well-Architected Framework: AI and ML perspective Stay organized with collections Save and categorize content based on your preferences.
This document in theGoogle Cloud Well-Architected Framework describes principles and recommendations to help you to design, build, andmanage AI and ML workloads in Google Cloud that meet youroperational, security, reliability, cost, and performance goals.
The target audience for this document includes decision makers, architects,administrators, developers, and operators who design, build, deploy, andmaintain AI and ML workloads in Google Cloud.
The following pages describe principles and recommendations that are specificto AI and ML, for each pillar of the Well-Architected Framework:
- AI and ML perspective: Operational excellence
- AI and ML perspective: Security
- AI and ML perspective: Reliability
- AI and ML perspective: Cost optimization
- AI and ML perspective: Performance optimization
Contributors
Authors:
- Benjamin Sadik | AI and ML Specialist Customer Engineer
- Charlotte Gistelinck, PhD | Partner Engineer
- Filipe Gracio, PhD | Customer Engineer, AI/ML Specialist
- Isaac Lo | AI Business Development Manager
- Kamilla Kurta | GenAI/ML Specialist Customer Engineer
- Mohamed Fawzi | Benelux Security and Compliance Lead
- Rick (Rugui) Chen | AI Infrastructure Field Solutions Architect
- Sannya Dang | AI Solution Architect
Other contributors:
- Daniel Lees | Cloud Security Architect
- Gary Harmson | Principal Architect
- Jose Andrade | Customer Engineer, SRE Specialist
- Kumar Dhanagopal | Cross-Product Solution Developer
- Marwan Al Shawi | Partner Customer Engineer
- Nicolas Pintaux | Customer Engineer, Application Modernization Specialist
- Radhika Kanakam | Program Lead, Google Cloud Well-Architected Framework
- Ryan Cox | Principal Architect
- Samantha He | Technical Writer
- Stef Ruinard | Generative AI Field Solutions Architect
- Wade Holmes | Global Solutions Director
- Zach Seils | Networking Specialist
Except as otherwise noted, the content of this page is licensed under theCreative Commons Attribution 4.0 License, and code samples are licensed under theApache 2.0 License. For details, see theGoogle Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2024-10-11 UTC.