WILMINGTON, Del. – AUG 14, 2025— EnterpriseDB introduced it’s integrating NVIDIA accelerated computing and AI software program with EDB’s sovereign knowledge and AI platform, EDB Postgres AI (EDB PG AI).
EDB PG AI, constructed with NVIDIA accelerating computing and NVIDIA AI Enterprise, permits organizations to construct and generate worth from AI and knowledge platforms utilizing PostgreSQL. This integration enhances EDB PG AI as a safe, high-performance platform for deploying generative and agentic AI with enterprise-grade governance, observability, and value effectivity.
The mixture of NVIDIA AI software program, together with NVIDIA NIM microservices and NVIDIA NeMo Retriever with EDB Postgres AI delivers measurable outcomes for purchasers:
- 2-3x throughput enchancment for knowledge embedding duties
- 5-2x throughput enchancment for retrieval efficiency
- As much as 30x quicker insights from knowledge, pushed by optimized AI pipelines
This software-defined efficiency additionally drives vital value financial savings in comparison with cloud-native AI stacks. EDB, an NVIDIA NPN companion, additionally positive aspects direct entry to NVIDIA’s newest software program improvements and greatest practices, fueling steady optimization throughout the AI Manufacturing unit.
“Sovereignty is now the defining consider enterprise AI success. By integrating NVIDIA AI software program into EDB Postgres AI, we’re giving clients the efficiency and management they should construct safe, agentic AI options on their phrases, wherever their knowledge lives,” stated Nancy Hensley, Chief Product Officer of EDB.
Solely 13 % of main enterprises globally are producing sustainable ROI from their agentic and generative AI efforts; nevertheless, 90 % plan to develop into their very own AI and knowledge platforms inside the subsequent three years, largely as a result of they deal with sovereign AI as mission-critical. In keeping with international analysis performed for EDB in Could 2025, this strategic deal with sovereign AI permits them to beat fragmented infrastructure and take management over their knowledge and AI fashions—key limitations to mainstream adoption and long-term aggressive benefit.
