EnterpriseDB Unveils Groundbreaking AI Platform with Major Environmental and Cost Benefits
EnterpriseDB (EDB) has revealed new independent research highlighting the impressive energy-saving capabilities of its EDB Postgres AI (PG AI) platform. This innovative solution is proving to be a game-changer for enterprise customers, offering significant reductions in energy consumption, emissions, and costs while maintaining high performance for complex AI workloads.
Substantial Reductions in Energy Use and Emissions
The study, conducted by Incendium Consulting, analyzed PG AI deployments across three Fortune 500 financial services firms. The results were striking: 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 remarkable 94% drop for critical Tier 1 applications.
Kevin Dallas, CEO of EDB, emphasized that these are not just theoretical gains but real-world benefits. “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
As AI adoption continues to grow, so does the demand for energy. 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 challenges, 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. This interactive tool 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. As the demand for AI continues to rise, EDB is leading the way in creating efficient, sustainable, and scalable solutions for the future.
0 comments:
Ikutan Komentar