EnterpriseDB (EDB) has announced new research findings showing that its EDB Postgres AI (EDB PG AI) platform can deliver significant energy and emissions reductions for large-scale data center operations, particularly in enterprise and financial services environments. The company has also launched an AI Efficiency Calculator to help organizations estimate potential energy, cost, and emissions savings from moving to the EDB PG AI platform.
According to an independent study conducted by Incendium Consulting and reported by EDB, three Fortune 500 financial services companies using EDB PG AI achieved energy consumption reductions up to 81% and emissions reductions as high as 87%. On average, these deployments reduced emissions by more than 50%, with a reported 94% reduction for one customer’s Tier 1 applications and an 81% drop in core usage. The company claims these results demonstrate that energy savings and emissions reductions can be realized without compromise in performance or availability, often alongside cost reductions.
EDB PG AI supports elastic infrastructure for enterprise AI and data workloads, minimizing idle power use by dynamically scaling compute resources as needed. Key features highlighted by EDB include automated workload optimization via AI-driven recommendations, dynamic scaling of infrastructure for AI model serving, automated vector index management to reduce unnecessary processing, and separation of compute from storage to independently scale processing for analytical workloads. EDB also notes that its Sovereign Data and AI Factory is optimized for on-premises deployments using clustered Supermicro Hyper servers, with options for liquid-cooled systems and GPU-optional environments to fit changing workload requirements.
EDB has introduced the EDB Postgres AI Efficiency Calculator, an interactive tool that models energy, emissions, and cost savings from migration to EDB PG AI. The calculator allows organizations to analyze inefficiencies in current data estates and receive recommendations related to performance, operational cost, and environmental impact.
EDB emphasizes modularity and flexibility in future AI infrastructure, stating the importance of adaptable, power-aware data center designs to address increasing energy and performance requirements.
Source: EnterpriseDB
