en.Wedoany.com Reported - On June 22, Italian technology solutions company Italtel partnered with OctaiPipe to launch the AI for Cooling Efficiency (ACE) solution, designed to optimize energy consumption in data center cooling systems. This solution targets data center operations facing growing computing demands, rising energy costs, and stricter energy efficiency regulations, with the goal of reducing cooling energy consumption and operational costs without compromising safety or performance.
The ACE solution has been deployed by Italtel in a 2MW regional data center owned by a major Italian group. According to Italtel's official information, the solution can reduce cooling system energy costs by up to 30% and improve overall site infrastructure energy efficiency by over 10%. This case demonstrates that AI-driven cooling optimization is no longer a conceptual stage but has entered actual data center operational environments.
Data center cooling is a significant component of energy consumption. Italtel notes that cooling can account for up to 40% of total data center energy usage. As AI training, inference, cloud computing, streaming media, and IoT services continue to grow, heat loads and energy pressures in server rooms are rising simultaneously. The operational efficiency of cooling systems has become a critical factor for operators to control costs and meet sustainability requirements.
OctaiPipe's ACE software first establishes a digital twin model of the data center infrastructure to simulate its thermal behavior and energy performance. The system uses collaborative AI agents to monitor the cooling system's operational status in real time and automatically optimize operating parameters to reduce energy waste. Compared to traditional methods that rely solely on fixed thresholds or manual inspections, the AI model enables more precise dynamic adjustments based on load, temperature, equipment status, and operational trends.
A key feature of this solution is its ability to integrate with existing building management systems and data center infrastructure management systems. According to Italtel's official information, ACE can be integrated with BMS and DCIM systems without requiring additional sensors, thereby helping to reduce retrofit costs and supporting operators in gradually advancing automation. This is particularly important for existing data centers, as many legacy server rooms are not suitable for large-scale hardware overhauls all at once.
In this partnership, Italtel is responsible for commercial deployment, system integration, and ongoing operational support, while OctaiPipe provides the AI cooling optimization software capabilities. Italtel brings integration and operational experience in Europe's critical digital infrastructure sector, while OctaiPipe focuses on Physical AI technology for critical infrastructure. By combining their strengths, the solution covers the entire chain from assessment, deployment, and system integration to operational optimization.
European data center operators are facing stricter energy efficiency and sustainability requirements. Policies such as the EU Energy Efficiency Directive are driving data centers to enhance energy reporting, efficiency improvements, and environmental impact management. For operators, cooling optimization not only affects electricity costs but also impacts PUE metrics, ESG disclosures, customer compliance requirements, and long-term competitiveness.
However, AI-driven cooling optimization does not simply mean turning off cooling equipment. Data center cooling systems must balance energy savings with safety redundancy, equipment lifespan, and business continuity. If temperature control, humidity management, equipment heat dissipation, or anomaly response are inadequate, server stability may be affected. Therefore, the ACE solution emphasizes achieving energy savings through real-time monitoring and automatic parameter adjustment without compromising safety or operational performance.
Future observation will focus on the deployment scale of the ACE solution in more data centers, its energy-saving effectiveness under different climate and load conditions, its compatibility with liquid cooling and high-density AI racks, and its depth of application in compliance reporting and automated operations. As AI data centers face increasing electricity and heat dissipation pressures, intelligent optimization of cooling systems will become a key direction for data center energy efficiency upgrades.
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