AI Factory How-To Guides (Hybrid Manager)

Use these How-To Guides to deploy and operate AI Factory capabilities inside your Hybrid Manager (HCP) environment.

Hybrid Manager runs AI Factory as an integrated AI workload inside your HCP Kubernetes project. While many core concepts are shared with the AI Factory Hub, there are important Hybrid Manager-specific patterns and steps to follow when:

• Setting up Model Serving infrastructure
• Deploying and verifying AI models (InferenceServices)
• Managing GPU resources for model serving
• Using AI models in Gen AI applications and database extensions
• Managing project- and user-scope permissions for AI Factory

Topics

Gen AI

• Configure Data Sources in Gen AI Builder
• Configure the Data Lake in Gen AI Builder

Model Serving

• Deploy NVIDIA NIM containers
• Monitor model serving deployments
• Update GPU resources

Model Library

• Integrate private container registry
• Define repository rules
• Manage repository metadata
• Deploy AI models from Model Library

Learn more

For conceptual background, see:

• AI Factory in Hybrid Manager
• AI Factory Hub — Full Concepts