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    SAS Puts AI Governance at the Core of Its Agent Strategy

    By Art RyanApril 29, 20260

    As it moves deeper into the era of agentic AI, SAS is making governance a…

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    Home » EDB AI Platform to Be Integrated with NVIDIA
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    EDB AI Platform to Be Integrated with NVIDIA

    Art RyanBy Art RyanAugust 15, 2025No Comments2 Mins Read
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    EnterpriseDB announced it is integrating NVIDIA accelerated computing and AI software with EDB’s sovereign data and AI platform, EDB Postgres AI (EDB PG AI).

    EDB PG AI, built with NVIDIA accelerating computing and NVIDIA AI Enterprise, enables organizations to build and generate value from AI and data platforms using PostgreSQL. This integration enhances EDB PG AI as a secure, high-performance platform for deploying generative and agentic AI with enterprise-grade governance, observability, and cost efficiency.

    The combination of NVIDIA AI software, including NVIDIA NIM microservices and NVIDIA NeMo Retriever with EDB Postgres AI delivers measurable outcomes for customers:

    • 2-3x throughput improvement for data embedding tasks
    • 5-2x throughput improvement for retrieval performance
    • Up to 30x faster insights from data, driven by optimized AI pipelines

    This software-defined performance also drives significant cost savings compared to cloud-native AI stacks. EDB, an NVIDIA NPN partner, also gains direct access to NVIDIA’s latest software innovations and best practices, fueling continuous optimization across the AI Factory.

    “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,” said Nancy Hensley, Chief Product Officer of EDB.

    Only 13 percent of major enterprises globally are generating sustainable ROI from their agentic and generative AI efforts; however, 90 percent plan to become their own AI and data platforms within the next three years, largely because they treat sovereign AI as mission-critical.  According to global research conducted for EDB in May 2025, this strategic focus on sovereign AI enables them to overcome fragmented infrastructure and take control over their data and AI models—key barriers to mainstream adoption and long-term competitive advantage.

    Source: https://insideainews.com/
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    Art Ryan

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