
EDB Research Highlights Energy and Cost Savings for Fortune 500 Firms
WILMINGTON, Del., Aug. 21, 2025 — EnterpriseDB (EDB) today published new independent research validating dramatic cost savings, energy efficiency, and emissions reductions that its sovereign data platform delivers to enterprise customers. Analyzing EDB Postgres AI (EDB PG AI) deployments at three Fortune 500 companies in the financial services sector, the research identified energy consumption reductions up to 81% and emissions reductions as high as 87%.
More than 95% of global enterprises want to be their own AI and data platforms in the next three years (“EDB Sovereignty Matters,” May 2025 research). This shift will put massive pressure on energy grids and IT budgets. Electricity costs already account for 46% of total data center spending for enterprises, and demand is projected to increase power consumption at a compound annual growth rate of 45% through 2027, according to IDC.
At the current trajectory, the world’s AI ambitions risk outpacing both the power infrastructure and economic capacity needed to sustain them.
“Facing these rising costs and concerns, 83% of enterprises globally now rank power efficiency among the top three drivers for rethinking data center architectures in the age of agentic AI, according to EDB research,” said Kevin Dallas, CEO at EDB. “The leading 13% of AI-driven enterprises already know this. They’re twice as likely to design for energy-efficient model execution. They’re proving it’s possible to optimize energy use without sacrificing performance, agility, or scale.”
Independent Research Validates Energy and Cost Reductions Enabled by EDB PG AI
An independent analysis, conducted by Incendium Consulting, highlights the significant impact EDB PG AI can have on customers’ data center efficiency and environmental sustainability. Of three global financial institutions (EDB customers)—collectively representing one of five organizations in the world, with more than 150 data centers—EDB PG AI reduced emissions by more than 50% on average, with one customer achieving a 94% reduction for its Tier 1 applications and seeing an 81% drop in core usage.
“These aren’t theoretical gains. It’s the operational reality now for the world’s largest financial services companies and pinpoints the extraordinary path forward: You can achieve dramatic reductions in data center emissions and energy with no trade-offs in performance or availability. And in many cases, this comes with dramatic cost reductions as well,” said Dallas.
Efficiency Calculator Turns Proof into Action
To give organizations direct visibility into the benefits of optimizing their infrastructure, EDB also launched the EDB Postgres AI Efficiency Calculator, an interactive tool that exposes inefficiencies in data estates and quantifies the financial, performance, and environmental impacts of addressing them.
The calculator models how EDB PG AI customers can scale their AI and data with a sovereign platform, without the bottleneck of exorbitant costs. It delivers immediate, real-time results through intelligent recommendations, acting like an expert database team. By fine-tuning queries and optimizing performance on the spot, the calculator helps organizations cut costs, boost efficiency, and reduce energy usage without the delays of long-tail optimization plans.
Optimized Efficiency at Every Layer
EDB PG AI reduces costs, energy consumption, and emissions by ensuring that compute resources are only utilized when needed. The platform uses an elastic infrastructure that dynamically scales with the demands of complex AI workloads, minimizing idle energy waste. This includes:
- Intelligent workload optimization: AI-driven recommendations to proactively optimize core Postgres configurations and reduce the raw compute needed to support critical workloads in minutes without manual effort or database expertise.
- On-demand AI model serving: Dynamically spins up and down nodes to serve AI models, eliminating energy drain of underutilized infrastructure.
- Automated AI-readiness: Eliminates inefficient, manual vector index rebuilds for live data, saving substantial compute power and disk I/O.
- Separation of compute and storage: Independently scales compute resources for analytical workloads and offloads cold data from transactional systems to more cost-effective object storage, reducing overall energy consumption and enhancing efficiency.
In addition to the power savings from the EDB PG AI software, the hardware used can also contribute to energy efficiency. EDB’s Sovereign Data and AI Factory, designed for on-premises deployment of the EDB PG AI platform, is based on clustered Supermicro Hyper servers that provide industry-leading power efficiency.
Strategic relationships with leaders such as Supermicro ensure that enterprises get access to the industry’s most efficient infrastructure, including liquid-cooled systems that can reduce energy usage and GPU-optional environments that adapt to workload needs.
“The future of AI infrastructure isn’t one size fits all. It’s modular, power-aware, and built for choice,” said Dallas. “As energy and performance requirements evolve, enterprises need flexible systems that scale without compromise. That’s what we’re delivering with EDB Postgres AI.”
To see how much EDB PG AI can reduce your operating costs, energy consumption, and carbon emissions by using the Efficiency Calculator, visit https://www.enterprisedb.com/calculator/efficiency.
About EDB
EDB Postgres AI (EDB PG 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. To learn more, visit www.enterprisedb.com.
Source: EDB