Learn AI Factory in Hybrid Manager
Learn with AI Factory
This section helps you build foundational knowledge and develop practical skills for using the AI Factory in EDB Postgres AI Platform. Whether you're enabling GPU support, deploying models, or designing AI-powered applications, the resources here are structured to support you at every stage.
The content is organized by intent, using the Diátaxis framework:
Explanations
Gain a solid understanding of AI Factory concepts:
- AI Factory concepts — how AI Factory fits within the EDB Postgres AI ecosystem.
- Model Image Library — how prebuilt and custom model containers are managed.
- Container Registry Integration — how models are delivered and stored.
How-to Guides
Step-by-step instructions for performing tasks in the AI Factory:
- Enable and configure GPU support — provision GPU resources and prep your cluster.
- Verify deployed models — check model status and GPU usage after deployment.
Learning Paths
Follow a curated path through AI Factory topics, tailored by complexity:
- AI Factory Learning Path — start with enabling the platform and progress to model deployment and advanced usage.
AI Factory in Hybrid Manager Explained
How AI Factory features are implemented and used within Hybrid Manager, with links to deep conceptual content and Hybrid Manager-specific guidance.
AI Factory How-To
How-To Guides for using AI Factory features within Hybrid Manager projects — focused on deployment, configuration, and operations.
AI Factory Learning Paths
Structured learning paths to help you deploy and operate AI Factory features within Hybrid Manager.
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- Learn with AI Factory
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