Energy efficiency and sustainability of AI data processing in Data Centres (IA)

Quel est l’objet de cet appel ?

The topic funds innovation pilots and an open demonstration site that make AI data processing in data centres more energy-efficient, from chip cooling to waste-heat reuse. It is relevant to data centre operators, technology providers and researchers.

Que finance cet appel ?

Scope

The topic funds pilots of new technologies and an open demonstration site for energy-efficient and sustainable AI data processing in data centres. Development areas include:

• direct on-chip cooling and multi-scale thermal management;
• energy-efficient power backup and storage, such as graphene-enhanced batteries and supercapacitors;
• sustainable data centre architectures and AI workload optimisation, including carbon-aware scheduling and heat capture and reuse;
• use of materials research for energy efficiency and thermal management;
• AI solutions to optimise data centre operation and reduce its footprint;
• integration of data centres into energy systems and the wider region.

Structure of the topic

Some projects address the technology outcomes (cooling, backup power, whole-site optimisation), each showcasing results in at least two use cases. A separate project sets up an open pilot demonstration site that combines and benchmarks the results of the other projects and serves as a European reference for the data centre industry.

Expected outcomes

Better heat removal from high-power AI chips, low-cooling backup power, optimised whole-site energy use, and demonstrated improvements in power usage effectiveness and reuse of waste heat.

Technology readiness

Activities start at TRL 6-7 and reach TRL 8.

Quelle est la date limite ?

18 mars 2027 (132 jours)

18 March 2027 (single-stage submission).