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AI DIAL Deployment Highlights

Refer to DevOps Tutorials to view more in-depth information and tutorials for system deployment.

Installation Options​

Whether you're starting with a basic prototype or deploying a full-fledged production application, AI DIAL provides a smooth and scalable path. Begin with a minimal setup and seamlessly expand to a complete ecosystem as your needs evolve.

The diagram below demonstrates the most complete landscape of AI DIAL ecosystem:

Refer to Architecture to view all installation options.

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Infrastructure​

AI DIAL is an enterprise-grade, open-source platform designed for flexibility and scalability. Its cloud-agnostic architecture empowers you to deploy on your preferred cloud platform — be it Microsoft Azure, AWS, GCP, or any other — or even on-premises. This freedom extends to hardware choices as well, allowing you to run AI DIAL on anything from a personal laptop to a full-fledged Minikube cluster.

Our commitment to openness means AI DIAL isn't tied to any specific vendor's products or services. You have the freedom to choose the infrastructure and tools that best suit your business needs, without vendor lock-in.

In DIAL Helm you find stable assemblies of Helm charts.

Installation Requirements​

Despite its robust capabilities, AI DIAL requires only a few basic resources: Kubernetes for orchestration, BLOB storage for data, a Secret Manager for security, Log Analytics for monitoring, an Identity Provider for authentication, and of course, your choice of LLMs (Large Language Models).

AI DIAL minimizes technical complexity and licensing risks by leveraging community hardware, cost-effective storage solutions, and open technologies. The system operates with minimal resource requirements, running smoothly on both powerful cloud infrastructures and personal laptops.

Storage​

Data portability is paramount. AI DIAL stores all user data in BLOB storage, simplifying cloud-to-cloud migrations. Furthermore, its decentralized design eliminates the need for a centralized database, relying instead on Redis and cloud storage solutions. This approach makes AI DIAL an ideal platform for building web-scale solutions.

Refer to Persistent Layer to learn more.