AI Factory in Hybrid Manager

This section explains how key AI Factory capabilities work in the context of Hybrid Manager.

Hybrid Manager delivers AI Factory as a managed AI workload within your Hybrid Manager (HCP) project. This allows you to run agentic AI applications, deploy and serve AI models, and integrate vector and knowledge-based search — all with Kubernetes-native control and security.

What this section covers

This section provides Hybrid Manager-specific explanations of AI Factory capabilities:

• How they run within HCP project Kubernetes clusters
• How they interact with other AI Factory features (Model Serving, Knowledge Bases, Agent Studio)
• How they interact with Hybrid Manager features (image management, GPU management, observability, user and project scopes)
• Where to find deep conceptual content in the AI Factory Hub

Topics

• Gen AI in Hybrid Manager
• Agent Studio in Hybrid Manager
• Gen AI Builder in Hybrid Manager
• Model Serving in Hybrid Manager
• Model Library in Hybrid Manager
• AI Accelerator Pipelines Knowledge Bases

Learn more

For full conceptual explanations of each AI Factory capability, see the AI Factory Hub.

For feature-specific How-To Guides within Hybrid Manager:

• Gen AI How-To Guides
• Model Serving How-To Guides
• Model Library How-To Guides

By combining AI Factory with Hybrid Manager’s Kubernetes-native controls and GPU resources, you can deliver highly integrated and production-ready AI applications.