AI Fabric architecture

AI Fabric runs on a kubernetes cluster. All communication into and out of the cluster is secured with HTTPS (TLS). Tenant and user-specific traffic uses modern protocols (OAuth2.0 and OpenID) supported by UiPath's Identity Server.

The diagram below shows a detailed architecture diagram of the various components in AI Fabric.

At a high-level, AI Fabric core services manage the deployment and training of machine learning models.

A deployment of a machine learning model (called an ML Skill) is a container with the code and model artifacts. AI Fabric creates an end-point from that container that is permissioned and replicated.

A training or evaluation of a machine learning model will create a container image on-the-fly and execute code predefined in by the AI Fabric user or by an out-of-the-box retrainable model.