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EDB

FOSS4G NA Enterprise Automation Resilience: Red Hat AAP on EDB Postgres AI Documenting the PostgreSQL protocol with pg_protoexport EDB heads to PGConf.Brasil 2026, this is what we’ll be talking about! Powering Invisible Commerce at World Cup Speed By the Time Your Data Warehouse Answers, the Opportunity Is Gone Deep Dive Into EDB Postgres AI's Agentic Database Capabilities Jumping the gun: looking ahead at PostgreSQL 19 Meeting in Montreal: Developer U plan(ner) patches KubeCon + CloudNativeCon NA EDB Summer Academy Your Database Goes Down. What Does That Cost Your Business? The Oracle Renewal Is Coming. This Time, There’s a Way Out. One Dashboard to Rule Them All — and Finally Get Your Fridays Back Your Database Should Be Working While You Sleep Inside the Agentic Database: How EDB Turned Postgres Into a Self-Managing System The Architecture IS the Security: Building Sovereign AI Ops on Postgres with EDB Agent Factory EDB Named a Leader in Multimodel Data Platforms Evaluation PGDay Hyderabad The Role of AI in Data Analytics: Moving From Hype to High-Octane Utility Iga Januszek Mike Olifirowicz Meeting EU Data Sovereignty Requirements While Speeding-Up Innovation Inside EDB’s New Principles for Responsible AI: Sovereign, Governed, Trusted and Beneficial Built From the Data Up: A Trusted Foundation for the Agentic Era | EDB Postgres® AI Q2-2026 Release EDB Launches Agentic Database, Converged Analytics, and Governance, Bringing Sovereign AI Where Enterprise Data Already Lives Stop Spending Hours on What Should Take Minutes: A DBA's Guide to EDB Postgres AI’s Agentic Database Capabilities Making Agentic AI Smarter at the Architecture Level Charly Batista Buildfarm Query API Jaime Arze EDB PGD 6.4 Brings Distributed Consistency to Mission-Critical Postgres Data Layer Precedes Compute, GPU Capacity in Sovereign AI The pipeline tax is breaking enterprise AI at agent scale Sovereignty boosts enterprise AI returns, study finds As the Agentic Era Reshapes the Data Layer, Enterprises Build Their Sovereign Foundation on EDB Postgres® AI The Industrial Bank of Korea Bets Its Core Financial Infrastructure on EDB Postgres® AI Governing Agentic AI at Enterprise Speed Beyond the Latency Gap: Building Sovereign, Real-Time Agentic Applications on a Unified Postgres Estate Just Clear a Day: What We Learned Running an AI Security Hackathon How Shinhan EZ Insurance Built a Cloud-Native Core Banking System on EDB Postgres® AI PGConf.dev 2026: Our team’s sessions, working groups, and key takeaways EDB Releases PGD 6.4 with Quorum Commit, Bringing True Distributed Consistency to Mission-Critical Postgres PostgreSQL Conference Europe (PGConf EU) Cloud Native Denmark Data Stack Conf Community over Code Postgres Summit US PGDay Lowlands PGDay UK PGConf.Brasil Kubernetes Community Days (KCD) Melbourne Swiss PGDay Switchover and Switchback of CloudNativePG Replica Clusters in a Distributed Topology (K8s) - Part 2 Preparing Enterprises for the Agentic Workforce CWO Society Dinner for FSI From VMs to Kubernetes: A DBA's Journey in a Large Global Bank AI Data Pipeline Automation with AIDB Navigating Disruption: Architecting Your Sovereign Data Estate for Resiliency Sovereignty Is the New Operating System for Agentic AI, New MIT Technology Review Insights Report Finds Beyond the DBaaS Trap: Achieving Data Sovereignty with Kubernetes and CloudNativePG Red Hat Ansible Automates: Washington DC OpenShift Showcase: Toronto 소버린 AI 전문가와 함께하는 EDB 웨비나 コンテナ化の運用の壁をどう超えるか 〜デプロイ・保守を自動化し、リソース負担を最小化する次世代DB運用戦略〜 コンテナ化の運用の壁をどう超えるか? 〜デプロイ・保守を自動化し、リソース負担を最小化する次世代DB運用戦略〜 A Day in the Life: Inside a Director of Sales Development Role at EDB Taller: Creación de una plataforma de análisis soberana a gran escala con EDB Postgres AI Workshop: Building a Sovereign Analytics Platform at Scale with EDB Postgres AI Building Real-Time, Data-Aware Intelligence with Postgres and the Model Context Protocol Yogesh Jain POSETTE How Euronext FX Built the Data Foundation for a New Era of Electronic Trading EDB Postgres® AI: The Sovereign Data and AI Platform for the Agentic Enterprise HOW2026 Data, Trust, and the New Rules of AI EDB at Red Hat Summit 2026: Building AI on Ground You Own A Day in the Life at EDB: Inside a Director of Customer Success Role at EDB PostgreSQL vs MySQL: Migration Without the Migraine DIVA (Dive into AI) 2026 Club des Utilisateurs Français d’EDB Postgres (CUFEP) 2026 EDB Delivers “Intelligence per Watt” Paradigm to Slash Token Consumption and Cut Data Center Emissions by up to 87% EDB Postgres AI on OpenShift cluster using CSI driver for Dell PowerFlex takashi eridai EDB Japan EDB Spearheads the Year of the Agentic Workforce with Industry Recognition, Ecosystem Momentum, and Continued Postgres® Leadership A Strategic Roadmap for Oracle to Postgres Migration at Ooredoo Deployment of PostgreSQL Replica Cluster via Barman Cloud Plugin on CloudNativePG - Part 1 Making AI Work for Your Business PGDay Armenia Ava Chawla Why the World’s Most Stable OS Demands a High-Performance Data Foundation MySQL to PostgreSQL Migration Chris Chiappone EDB Postgres® AI Delivers Superior Predictability vs. Cloud Data Warehouses in High-Concurrency Benchmark, Unveils Q1 Platform Updates to Power the Agentic AI Era The Agentic Confusion: Why I Keep My Postgres Control Plane Deterministic The Next Generation of EDB Postgres AI Factory: Built for the Agent Era Why Your Analytical Database Needs Multiple Clusters to Do What WarehousePG Does With One Driving the Next Digital Experience
Building a Sovereign, Intelligent Data Foundation with EDB Postgres® AI on IBM LinuxONE 5
Maeve Sullivan · 2026-07-07 · via EDB

This blog is co-authored by Simon Lightstone and Maeve Sullivan.


In the agentic era, the ultimate competitive advantage isn’t the model—it’s the data. Who owns it, how it is governed, and how reliably it powers real-time decisions will separate the leaders from the rest. For enterprises in secure, regulated industries, the demands are even higher: They need AI that is fast, compliant, and fully under their control.

EnterpriseDB (EDB) and IBM have partnered to bring EDB Postgres AI (EDB PG AI) to IBM LinuxONE 5, delivering an intelligent, resilient foundation designed to meet these demands and align to sovereign strategies.

Where open innovation meets enterprise trust

EDB and IBM share a common belief: The future of AI depends on transparency and autonomy, and enterprises should never have to choose between innovation and control. Organizations today cannot afford to send sensitive data outside of their environment or rely on infrastructure they don’t fully govern.

EDB PG AI delivers an enterprise-grade, sovereign data and AI platform that unifies transactional, analytical, and agentic workloads on a single Postgres foundation, while IBM LinuxONE 5 provides the highly efficient, scalable infrastructure those workloads demand. Together, they make it possible to run mission-critical AI directly on your data, in your own environment, without compromise. This is the convergence of open innovation and enterprise trust that accelerates sovereign AI and developer momentum.

Bringing AI to live, operational data

EDB PG AI keeps your data where it is, bringing production-grade AI capabilities to it—not the other way around. The platform extends your existing Postgres foundation into secure, trustworthy AI, on your own terms and with operational simplicity. When deployed on IBM LinuxONE 5, this approach is further enhanced by high-performance infrastructure designed for real-time, high-volume workloads, including vector workloads powered by pgvector. By eliminating data movement and executing AI alongside operational data, organizations can:

  • Reduce latency and accelerate decision-making
  • Maximize the speed, accuracy, and trustworthiness of AI outcomes
  • Support mission-critical workloads at scale

Built for data sovereignty, security, and resilience

EDB PG AI enforces governance at the data layer—the one place every action must pass through—ensuring that organizations can manage and control data access, usage, and compliance requirements. This is strengthened by IBM LinuxONE 5, which delivers built-in security, resilience, and compliance at the infrastructure level. With capabilities such as confidential computing, LinuxONE 5 protects data in use, including AI models and training data, while maintaining high availability and operational continuity.

Together, they enable organizations to:

  • Maintain full ownership and control of data and AI workloads
  • Enforce regulatory compliance and data residency requirements
  • Operate with continuous availability and resilience
  • Achieve true data sovereignty across the full stack

Securing the agentic era

With EDB PG AI at the data and AI layer and IBM LinuxONE 5 at the infrastructure layer, organizations gain a fully integrated platform that delivers:

  • A unified data and AI foundation that reduces complexity and improves efficiency
  • A highly scalable environment that creates data gravity for sovereign AI
  • Built-in security, resilience, and compliance for full control and trust
  • Enhanced AI outcomes powered by live enterprise data

EDB PG AI provides the simplified, operational foundation for improved vector performance and reliable AI at scale. IBM LinuxONE 5 makes these capabilities even more accessible, bringing enterprise-grade performance, security, and efficiency to a broader set of workloads and environments.

This is how enterprises can harness AI without compromise, accelerating innovation while maintaining sovereignty.

“Now more than ever, enterprises want workload consolidation to run their operations more efficiently. By combining EDB PG AI with IBM LinuxONE, customers get a secure, flexible foundation to build and scale mission-critical workloads with seamless, end-to-end support for the entire technology stack.

“EDB PG AI gives customers the freedom to run transactional, analytical, and AI workloads on their hardware of their choice, whether on cloud or on-premises. Customers tell us they value the reduced energy consumption and data center footprint that IBM’s LinuxONE architecture delivers, and we are proud to support it.”

—Simon Lightstone, Senior Product Manager, EDB 

Together, EDB and IBM are ensuring that sovereign AI is not just a strategy for the largest global enterprises but a practical, scalable reality for any organization. The next chapter of enterprise AI will be built on platforms that combine data, control, and intelligence by design. With EDB and IBM, that foundation is already here.

To learn more about LinuxONE Single frame and hear from a senior EDB leader about how EDB PG AI delivers trustworthy AI at scale, watch “Navigating Compute Constraints in the AI Era with IBM LinuxONE.