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AI Reference Implementation

Overview

The AI Reference Implementation (AIRI) is a modular, scalable, and secure framework designed to accelerate the deployment of AI solutions on Azure. AIRI provides a pre-configured, best-practice approach that integrates seamlessly with Azure’s suite of services, enabling data scientists, engineers, and organizations to rapidly build and deploy AI applications.

Key Features

  • Modularity: Customize the implementation to fit your specific project needs with modular components.
  • Security by Design: Built-in security best practices, including private endpoints, encryption, and role-based access control.
  • Observability: Integrated tools for real-time monitoring, logging, and alerting, ensuring a fully observable AI environment.
  • Scalability: Supports scaling from small proofs of concept to large-scale, production AI deployments.
  • Compliance: Designed to meet industry standards and regulatory requirements, such as GDPR, HIPAA, and ISO 27001.

Getting Started

To start using AIRI, follow these steps:

  1. Assess Your AI Scenario: Determine the specific AI use case you want to implement. Examples and templates are available in the examples/ directory.
  2. Set Up Your Environment: Follow the instructions in the Environment Setup guide to install the necessary tools and authenticate with Azure.
  3. Deploy the Implementation: Use Terraform to deploy AIRI by referencing the module and configuring it according to your needs. Detailed steps can be found in the Getting Started guide.

Documentation

  • Overview: A detailed introduction to the AI Reference Implementation.
  • Architecture: In-depth explanation of the architecture and its components.
  • Security: Information on the security features and best practices.
  • Observability: Guide to the monitoring and logging capabilities.
  • FAQ: Frequently Asked Questions.
  • Troubleshooting: Common issues and solutions.
  • References: Links to additional resources and documentation.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

Support

This project is provided "as-is" without any official support from Microsoft. If you encounter any issues, please file them through GitHub Issues. While contributions are welcome, there is no guaranteed timeline for addressing issues. For more details, see the Support page.

License

This project is licensed under the LICENSE. Please review the terms before using or contributing to this project.

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