Well-Architected Framework: perspectiva de IA e ML
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Last reviewed 2024-10-11 UTC
Este documento no
Google Cloud Well-Architected Framework
descreve princípios e recomendações para ajudar você a projetar, criar e
gerenciar cargas de trabalho de IA e ML no Google Cloud que atendam às suas metas
operacionais, de segurança, confiabilidade, custo e performance.
O público-alvo deste documento inclui tomadores de decisões, arquitetos,
administradores, desenvolvedores e operadores que projetam, criam, implantam e
mantêm cargas de trabalho de IA e ML no Google Cloud.
As páginas a seguir descrevem princípios e recomendações específicos para IA e ML em cada pilar do framework bem arquitetado:
[[["Fácil de entender","easyToUnderstand","thumb-up"],["Meu problema foi resolvido","solvedMyProblem","thumb-up"],["Outro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Informações incorretas ou exemplo de código","incorrectInformationOrSampleCode","thumb-down"],["Não contém as informações/amostras de que eu preciso","missingTheInformationSamplesINeed","thumb-down"],["Problema na tradução","translationIssue","thumb-down"],["Outro","otherDown","thumb-down"]],["Última atualização 2024-10-11 UTC."],[[["\u003cp\u003eThis document provides guidelines for designing, building, and managing AI and ML workloads in Google Cloud, ensuring they meet operational, security, reliability, cost, and performance goals.\u003c/p\u003e\n"],["\u003cp\u003eThe content is part of the Google Cloud Well-Architected Framework and is intended for decision-makers, architects, administrators, developers, and operators.\u003c/p\u003e\n"],["\u003cp\u003eThe document covers AI and ML perspectives across five key pillars of the Well-Architected Framework: operational excellence, security, reliability, cost optimization, and performance optimization.\u003c/p\u003e\n"],["\u003cp\u003eA single-page view and a PDF output are available for the AI and ML content if requested.\u003c/p\u003e\n"]]],[],null,["# Well-Architected Framework: AI and ML perspective\n\n| To view the content in the AI and ML perspective on a single page or to to get a PDF output of the content, see [View on one page](/architecture/framework/perspectives/ai-ml/printable).\n\nThis document in the\n[Google Cloud Well-Architected Framework](/architecture/framework)\ndescribes principles and recommendations to help you to design, build, and\nmanage AI and ML workloads in Google Cloud that meet your\noperational, security, reliability, cost, and performance goals.\n\nThe target audience for this document includes decision makers, architects,\nadministrators, developers, and operators who design, build, deploy, and\nmaintain AI and ML workloads in Google Cloud.\n\nThe following pages describe principles and recommendations that are specific\nto AI and ML, for each pillar of the Well-Architected Framework:\n\n- [AI and ML perspective: Operational excellence](/architecture/framework/perspectives/ai-ml/operational-excellence)\n- [AI and ML perspective: Security](/architecture/framework/perspectives/ai-ml/security)\n- [AI and ML perspective: Reliability](/architecture/framework/perspectives/ai-ml/reliability)\n- [AI and ML perspective: Cost optimization](/architecture/framework/perspectives/ai-ml/cost-optimization)\n- [AI and ML perspective: Performance optimization](/architecture/framework/perspectives/ai-ml/performance-optimization)\n\nContributors\n------------\n\nAuthors:\n\n- [Benjamin Sadik](https://www.linkedin.com/in/benjaminhaimsadik) \\| AI and ML Specialist Customer Engineer\n- [Charlotte Gistelinck, PhD](https://www.linkedin.com/in/charlottegistelinck) \\| Partner Engineer\n- [Filipe Gracio, PhD](https://www.linkedin.com/in/filipegracio) \\| Customer Engineer, AI/ML Specialist\n- [Isaac Lo](https://www.linkedin.com/in/isaac-l-25525440) \\| AI Business Development Manager\n- [Kamilla Kurta](https://www.linkedin.com/in/kamillakurta) \\| GenAI/ML Specialist Customer Engineer\n- [Mohamed Fawzi](https://www.linkedin.com/in/fawzii) \\| Benelux Security and Compliance Lead\n- [Rick (Rugui) Chen](https://www.linkedin.com/in/rugui-chen) \\| AI Infrastructure Field Solutions Architect\n- [Sannya Dang](https://www.linkedin.com/in/thugiangdang) \\| AI Solution Architect\n\n\u003cbr /\u003e\n\nOther contributors:\n\n- [Daniel Lees](https://www.linkedin.com/in/daniellees) \\| Cloud Security Architect\n- [Gary Harmson](https://www.linkedin.com/in/garyharmson) \\| Principal Architect\n- [Jose Andrade](https://www.linkedin.com/in/jmandrade) \\| Customer Engineer, SRE Specialist\n- [Kumar Dhanagopal](https://www.linkedin.com/in/kumardhanagopal) \\| Cross-Product Solution Developer\n- [Marwan Al Shawi](https://www.linkedin.com/in/marwanalshawi) \\| Partner Customer Engineer\n- [Nicolas Pintaux](https://www.linkedin.com/in/nicolaspintaux) \\| Customer Engineer, Application Modernization Specialist\n- [Radhika Kanakam](https://www.linkedin.com/in/radhika-kanakam-18ab876) \\| Program Lead, Google Cloud Well-Architected Framework\n- [Ryan Cox](https://www.linkedin.com/in/ryanlcox) \\| Principal Architect\n- [Samantha He](https://www.linkedin.com/in/samantha-he-05a98173) \\| Technical Writer\n- [Stef Ruinard](https://www.linkedin.com/in/stefruinard) \\| Generative AI Field Solutions Architect\n- [Wade Holmes](https://www.linkedin.com/in/wholmes) \\| Global Solutions Director\n- [Zach Seils](https://www.linkedin.com/in/zachseils) \\| Networking Specialist\n\n\u003cbr /\u003e"]]
