EDB Postgres AI integrates NVIDIA for sovereign enterprise AI
EnterpriseDB has announced a strategic integration of its EDB Postgres AI platform with NVIDIA’s accelerated computing and AI software. This collaboration aims to empower organizations to build and derive significant value from AI and data platforms built on PostgreSQL, addressing critical needs for security, performance, and cost efficiency in the enterprise AI landscape.
The EDB Postgres AI platform, which already leverages NVIDIA accelerated computing and NVIDIA AI Enterprise, will now incorporate additional NVIDIA AI software, including NVIDIA NIM microservices and NVIDIA NeMo Retriever. This enhanced integration is designed to deliver a secure, high-performance environment for deploying both generative and agentic AI solutions, complete with enterprise-grade governance, robust observability, and improved cost-effectiveness.
The partnership is expected to yield measurable performance improvements for customers. Early indications suggest a 2x to 3x increase in throughput for data embedding tasks and a 5x to 2x improvement in retrieval performance. Crucially, these optimized AI pipelines could enable organizations to extract insights from their data up to 30 times faster. Beyond raw speed, this software-defined performance is also anticipated to deliver substantial cost savings when compared to traditional cloud-native AI stacks. As an NVIDIA NPN partner, EDB will also gain direct access to NVIDIA’s latest software innovations and best practices, fostering continuous optimization within their AI development processes.
According to Nancy Hensley, Chief Product Officer at EDB, the concept of “sovereignty” has become a defining factor in the success of enterprise AI initiatives. By integrating NVIDIA AI software into EDB Postgres AI, the companies aim to provide customers with the necessary performance and control to build secure, agentic AI solutions on their own terms, regardless of where their data resides.
This strategic focus aligns with broader industry trends. Current global research conducted for EDB in May 2025 indicates that only 13 percent of major enterprises worldwide are currently generating sustainable return on investment from their agentic and generative AI endeavors. However, a significant majority—90 percent—plan to establish their own AI and data platforms within the next three years. This ambitious shift is largely driven by the increasing recognition of sovereign AI as mission-critical. Enterprises are prioritizing sovereign AI to overcome challenges like fragmented infrastructure and to gain greater control over their proprietary data and AI models, which are often key barriers to widespread adoption and long-term competitive advantage.