EDB Postgres AI Hybrid Manager

EDB Postgres AI Hybrid Manager is the control plane of the EDB Postgres AI Platform—a sovereign AI, analytics, and Postgres management solution that runs anywhere you run Kubernetes. It offers a unified experience for deploying databases, running GenAI workloads, and scaling Postgres-native analytics across cloud, on-prem, or hybrid environments.

It works on the follow Kubernetes distributions: Amazon EKS, Google GKE, and Red Hat OpenShift (RHOS).

• EDB Postgres AI Hybrid Manager
  • Hybrid Manager Overview
• Hybrid Manager Release Notes
  • Hybrid Manager 1.2 release notes
    • Release Highlights
    • Deployment Options
    • New Features & Enhancements
    • Observability, Monitoring & Insights
    • Sustainability: ESG Reporting (Preview)
    • Platform Improvements
    • Resources
• EDB Postgres AI Hybrid Manager
  • Key capabilities
  • Integrated solutions
  • Next steps
    • Hybrid Manager Architecture
    • Supported Database Types
    • Supported Postgres Distributions
• Installing the PG AI Hybrid Manager
  • Installing the PG AI Hybrid Manager
  • Planning
    • Kubernetes (Generic)
  • Considering a preinstalled hardware solution?
    • Kubernetes planning and minimum recommended requirements
    • Install Hybrid Manager on Red Hat OpenShift
    • Install Hybrid Manager on AWS EKS
    • Install Hybrid Manager on GCP GKE
    • Customizations
• Using Hybrid Manager
  • Tasks
    • Hybrid Manager Terminology
    • Hybrid Manager Console
    • For Users
    • For Kubernetes Administrators
• AI Factory in Hybrid Manager
  • Learning Paths
  • AI Factory in Hybrid Manager Workloads
    • Gen AI Workloads
    • Model Management and Serving
    • Vector Engine
  • Get Started
    • Enabling AI Factory
    • Gen AI in Hybrid Manager
    • Learn AI Factory in Hybrid Manager
    • Model capabilities in Hybrid Manager
• Analytics in Hybrid Manager
  • Why Analytics in Hybrid Manager
  • Core Concepts and Capabilities
    • Apache Iceberg
    • Delta Lake
    • Tiered Tables with PGD
    • Lakehouse Clusters
  • How These Capabilities Work Together
  • Getting Started: Quickstart Checklist
  • Explore Further
    • Delta Lake in Hybrid Manager
    • Apache Iceberg in Hybrid Manager
    • EDB Postgres Lakehouse Clusters on Hybrid Manager
    • Learning Analytics in Hybrid Manager
    • Tiered Tables in Hybrid Manager
• Sovereign AI and Data Factory
  • Why choose a hardware-based system?
  • What’s inside
  • Supported workloads
  • Hardware configurations
  • Explore next
    • Concepts and architecture
    • Frequently asked questions
    • Glossary and key terms
    • System specifications
    • Common workloads and use cases
    • What to Expect