EnterpriseDB (EDB) has released independent research by Incendium Consulting, demonstrating that its EDB Postgres AI platform reduces data center emissions by up to 87% and energy consumption by up to 81% for large enterprise customers, particularly in financial services. The platform, paired with the new EDB Postgres AI Efficiency Calculator, helps organizations meet growing AI demands while optimizing costs and sustainability.
EDB Postgres AI reduces emissions by up to 87% and energy use by 81%.
Independent research analyzed three Fortune 500 financial institutions.
EDB Postgres AI Efficiency Calculator quantifies cost and environmental savings.
Features intelligent workload optimization and on-demand AI model serving.
Partners with Supermicro for energy-efficient, liquid-cooled hardware.
Supports 95% of enterprises aiming to own AI and data platforms by 2028.
Independent research by Incendium Consulting, analyzing EDB Postgres AI deployments at three Fortune 500 financial institutions with over 150 data centers, found average emissions reductions of over 50%, with one achieving a 94% reduction for Tier 1 applications and an 81% drop in core usage. “These aren’t theoretical gains,” said Kevin Dallas, CEO of EDB. “It’s the operational reality now for the world’s largest financial services companies.”
EDB launched the Postgres AI Efficiency Calculator, an interactive tool providing real-time insights into inefficiencies in data estates. It models cost, performance, and environmental benefits, offering intelligent recommendations to optimize queries and reduce compute needs. This enables enterprises to scale AI workloads sustainably, avoiding high costs and long optimization cycles.
EDB Postgres AI minimizes energy waste through:
Intelligent Workload Optimization: AI-driven recommendations optimize Postgres configurations, reducing compute needs.
On-Demand AI Model Serving: Dynamically scales nodes to serve AI models, eliminating idle energy waste.
Automated AI-Readiness: Streamlines vector index management, saving compute power and disk I/O.
Separated Compute and Storage: Scales analytical workloads independently, offloading cold data to cost-effective storage.
The platform’s integration with Supermicro Hyper servers, featuring liquid-cooled systems, further enhances energy efficiency, aligning with ESG goals.
With electricity comprising 46% of data center costs and AI-driven power demand growing at a 45% CAGR through 2027 (IDC), 83% of enterprises prioritize power efficiency, per EDB’s May 2025 research. EDB Postgres AI addresses this by enabling modular, power-aware infrastructure. “The future of AI infrastructure isn’t one size fits all,” said Dallas. “It’s modular, power-aware, and built for choice.”
EDB Postgres AI empowers enterprises to balance AI innovation with sustainability, delivering significant cost savings and emissions reductions. The Efficiency Calculator and strategic partnerships position EDB as a leader in sovereign AI and data solutions for the global enterprise market.
EDB Postgres® AI is the first open, enterprise-grade sovereign data and AI platform—secure, compliant, and scalable, on premises and across clouds. Built on Postgres, the world’s leading database, EDB PG AI unifies transactional, analytical, and AI workloads, enabling organizations to operationalize their data and LLMs while maintaining control over sovereign environments. EDB PG AI is supported by a global partner network and delivers up to 99.999% availability as well as hybrid management and a built-in AI factory. As one of the most active contributors to the PostgreSQL project, EDB is deeply invested in the vitality of the global community.
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