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

Expected Outcome:

Pilots for new technologies including demonstration sites which contribute to energy-efficient and sustainable AI data processing in data centres, reinforcing EU strategic autonomy and climate goals. Project results are expected to contribute to one or more of the following outcomes:

• Demonstrated innovations that substantially improve heat removal from high-power AI chips (e.g. direct on-chip cooling, advanced thermal interface materials, multi-scale thermal management), enabling higher performance without thermal throttling. This should lead to lower cooling energy needs and higher reliability for dense AI workloads.
• Prototypes of novel backup power systems (such as graphene-enhanced batteries) that operate with minimal cooling requirements, improving data centre resilience and enabling better use of renewable power.
• New methods and frameworks that optimise the entire data centre for energy-efficient AI processing. This includes intelligent workload scheduling and AI model optimisation techniques to reduce energy use (e.g. carbon-aware job scheduling and power capping to cut energy demand and peak temperatures), as well as designs for integrating on-site/off-site renewables and waste-heat reuse.

Outcomes should demonstrate potential for improved power usage effectiveness and utilisation of waste heat in external applications, aligned with European targets for carbon-neutral heating/cooling.

Scope:

Actions should address one or more of the following development areas:

• Direct on-chip cooling and thermal management, including novel and innovative cooling techniques applied at chip and module level (direct liquid cooling, heat spreaders, thermal interface materials, and advanced packaging) and multi-scale thermal management techniques.
• Energy-efficient power backup and storage systems: Innovations in early-stage energy storage concepts (graphene-enhanced batteries, supercapacitors, and other emerging battery chemistries) and approaches for net-zero backup.
• Sustainable data centre architectures and AI workload optimization: addressing AI-driven workload scheduling, adaptive power management, dynamic resource allocation and integration of data centre heat capture and reuse.
• Materials research for energy efficiency: Projects to make use of existing research in new materials and components supporting energy efficiency and thermal management, and to employ these for data centres benefit.
• Optimisation of data centre operation and functioning: explore AI solutions to optimize the Data centre functioning, computing architecture, and virtualization, minimizing its carbon and environmental footprint.
• Integration of data centres into energy systems and the wider region: including solutions that integrate Data centres into energy system planning and operation.

In addition, actions should establish open pilot demonstration sites to test and integrate research results, and to demonstrate, benchmark, and disseminate findings among relevant industrial stakeholders, including the European data centre and colocation industry, cloud providers, and edge computing operators. These pilot sites should furthermore serve as European reference points for showcasing breakthroughs and cutting-edge technologies for energy-efficient and sustainable data centres developed under this topic, acting as models for technology uptake across the European data centre industry. Projects funded under this topic are encouraged to build synergies and leverage their results with funded projects from Cluster 5 HORIZON-CL5-2027-05-D4-06: Thermal energy optimisation and waste heat recovery of high energy demand IT rooms in buildings or small edge data centres. Technology Readiness Level - Technology readiness level expected from completed projects Activities are expected to start at TRL 6-7 and achieve TRL 8 by the end of the project – see General Annex B.

Submissions open on 17 November 2026.

Part of call HORIZON-CL4-2027-04

Type of action: HORIZON Innovation Actions

Programme period: 2021 - 2027

Priorities: DigitalAgenda, AI

"> General conditions

1. Admissibility Conditions: Proposal page limit and layout

described in Annex A and Annex E of the Horizon Europe Work Programme General Annexes.

Proposal page limits and layout: described in Part B of the Application Form available in the Submission System.

2. Eligible Countries

described in Annex B of the Work Programme General Annexes. A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon Europe projects. See the information in the Horizon Europe Programme Guide .

3. Other Eligible Conditions

In line with the “ restriction on control in innovation actions in critical technology areas ” delineated in General Annex B of the General Annexes, entities established in an eligible country but which are directly or indirectly controlled by China or by a legal entity established in China are not eligible to participate in the action.

Described in Annex B of the Work Programme General Annexes.

4. Financial and operational capacity and exclusion

described in Annex C of the Work Programme General Annexes.

5a. Evaluation and award: Award criteria, scoring and thresholds

Described in Annex D of the Work Programme General Annexes.

5b. Evaluation and award: Submission and evaluation processes

are described in Annex F of the Work Programme General Annexes and the Online Manual .

5c. Evaluation and award: Indicativ