Integration of NVIDIA AI Software with EDB Postgres AI
EnterpriseDB has unveiled a significant enhancement to its EDB Postgres AI (EDB PG AI) platform by integrating NVIDIA’s accelerated computing and AI software. This collaboration aims to empower organizations to leverage the full potential of AI and data platforms built on PostgreSQL. The integration not only amplifies the capabilities of EDB PG AI but also ensures a secure, high-performance environment for deploying generative and agentic AI solutions, all while maintaining enterprise-grade governance, observability, and cost efficiency.
The synergy between NVIDIA’s AI software—featuring tools such as NVIDIA NIM microservices and NVIDIA NeMo Retriever—and EDB Postgres AI is poised to deliver tangible benefits for users. Key performance improvements include:
- 2-3x throughput improvement for data embedding tasks
- 5-2x throughput enhancement for retrieval performance
- Up to 30x faster insights from data, facilitated by optimized AI pipelines
This software-defined performance translates into substantial cost savings when compared to traditional cloud-native AI stacks. As an NVIDIA NPN partner, EDB gains privileged access to NVIDIA’s latest software innovations and best practices, which fosters ongoing optimization within the AI Factory.
Nancy Hensley, Chief Product Officer of EDB, emphasized the importance of sovereignty in the realm of enterprise AI. “Sovereignty is now the defining factor in enterprise AI success. By integrating NVIDIA AI software into EDB Postgres AI, we’re giving customers the performance and control they need to build secure, agentic AI solutions on their terms, wherever their data lives,” she stated.
Despite the promising landscape, only 13 percent of major enterprises globally are currently achieving sustainable ROI from their agentic and generative AI initiatives. However, a striking 90 percent of these organizations plan to develop their own AI and data platforms within the next three years, recognizing the mission-critical nature of sovereign AI. Insights from global research conducted for EDB in May 2025 reveal that this strategic emphasis on sovereign AI is crucial for overcoming fragmented infrastructure and gaining control over data and AI models—two significant barriers to widespread adoption and sustained competitive advantage.
