AI architecture guidance for Azure platform services (PaaS) for AI

This article helps organizations build AI workloads on Azure platform-as-a-service (PaaS) solutions. These services support both generative and nongenerative AI workloads with enterprise-grade security and scalability.

Generative AI architectures and guides

Generative AI architectures create new content and enable conversational experiences through large language models. The architectures provide different complexity levels to match your organization's needs and technical maturity.

• Baseline architectures. These architectures include security configurations, networking designs, and operational practices that enterprises need for reliable AI deployments. They address common challenges like model governance, cost management, and data protection.

  Article	Article type	Target organization
  Baseline Foundry chat reference architecture in an Azure landing zone	Architecture	Enterprise
  AI workload landing zone	Architecture	Any
  Baseline Foundry chat reference architecture	Architecture	Any
  Basic Foundry chat reference architecture	Architecture	Startup

• Operational guidance. These guides establish practices for model deployment, monitoring, and continuous improvement across development environments. They ensure consistent quality and reliability as AI applications evolve.

  Article	Article type	Target organization
  GenAIOps	Guide	Any
  Developing RAG solutions	Guide	Any
  Proxy Azure OpenAI usage	Guide	Any

• Well-Architected Framework. Use the AI workload design areas.

For the full list of available guidance, see the Azure Architecture Center.

Nongenerative AI architectures and guides

Nongenerative AI architectures focus on classification, prediction, and analysis tasks without creating new content. These architectures process existing data to extract insights, automate decisions, and enhance business processes.

• Architectures. These architectures demonstrate proven patterns for common business scenarios like document processing, media analysis, and predictive analytics. They provide implementation guidance for integrating AI capabilities into existing business processes.

  Article	Article type	Target organization
  Document processing architectures	Architecture	Any
  Audio processing architecture	Architecture	Any

• Operational frameworks. These guides establish best practices for model training, deployment, and monitoring that ensure consistent performance and reliability in production environments.

  Article	Article type	Target organization
  Azure Machine Learning	Guide	Any
  MLOps	Guide	Any

For the full list of available guidance, see the Azure Architecture Center.

Next steps