WILMINGTON, DE — EnterpriseDB (EDB) announced new independent research showing that its EDB Postgres AI (PG AI) platform significantly reduces energy consumption, emissions, and costs for enterprise customers while maintaining high performance for demanding AI workloads.
Substantial Reductions in Energy Use and Emissions
Analyzing PG AI deployments across three Fortune 500 financial services firms, the study conducted by Incendium Consulting found that the platform cut energy consumption by up to 81% and achieved emissions reductions as high as 87%. On average, participating organizations reduced emissions by more than 50%, with one customer reporting a 94% drop for critical Tier 1 applications.
“These aren’t theoretical gains,” said Kevin Dallas, CEO of EDB. “This is the operational reality for the world’s largest financial institutions: dramatic reductions in energy and emissions without sacrificing performance, availability, or scale — and often with significant cost savings.”
Rising Energy Demands Drive Urgency
According to EDB’s Sovereignty Matters research, 95% of global enterprises plan to own their AI and data platforms within three years. However, this growing demand threatens to strain existing energy infrastructure. Electricity costs already make up 46% of total data center spending, and IDC projects a 45% annual growth in power consumption through 2027.
Facing these pressures, 83% of enterprises now rank power efficiency among the top three drivers for rethinking data center architectures, especially as AI adoption accelerates.
EDB’s AI Efficiency Calculator
To help organizations quantify potential gains, EDB has introduced its Postgres AI Efficiency Calculator, an interactive tool that evaluates infrastructure inefficiencies and provides real-time recommendations to optimize performance, cut energy consumption, and reduce costs.
The calculator leverages intelligent modeling to show how adopting EDB PG AI can minimize operational waste while sustaining enterprise-scale performance.
Optimized Efficiency Through Intelligent Architecture
EDB PG AI achieves efficiency by dynamically allocating compute resources only when needed. Key features include:
- Intelligent workload optimization for faster, automated database tuning
- On-demand AI model serving to reduce energy waste
- Automated AI readiness for vector data without intensive compute demands
- Separation of compute and storage, enabling independent scaling and improved cost-effectiveness
Additionally, EDB’s Sovereign Data and AI Factory integrates with Supermicro’s high-efficiency server infrastructure, including liquid-cooled systems designed to minimize energy usage for GPU-intensive workloads.
Flexible Solutions for a Demanding Future
“The future of AI infrastructure isn’t one size fits all,” Dallas added. “It’s modular, power-aware, and built for choice. Enterprises need flexible systems that scale without compromise — and that’s what we’re delivering with EDB Postgres AI.”
With AI adoption surging, EDB’s solutions aim to balance performance, cost savings, and sustainability, providing enterprises with tools to scale responsibly while reducing environmental impact.
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