Horizon Europe · Europäische Union

EU Frontier AI Initiative: Advanced Scaling Frameworks for High-Performance AI Models (RIA) - Apply AI

Offen

Das EU-Programm Horizon Europe plant 1 Förderungen mit 15 Mio. € pro Projekt bei einem Gesamtbudget von 15 Mio. €. Die Einreichungsfrist endet am 16. Februar 2027 (EU-Ausschreibungen enden meist um 17:00 Uhr Brüsseler Zeit). Organisationen aus EU-Mitgliedstaaten und assoziierten Ländern wie der Türkei können in der Regel teilnehmen; maßgeblich sind die Bedingungen des Topics.

Frist: 16. Februar 2027 (in 93 Tagen)
Fördersumme: 15 Mio. € pro Projekt
Förderquote: 100 % der förderfähigen Kosten Standardregel des Programms; die Ausschreibung kann abweichen.
Gesamtbudget: 15 Mio. €
Erwartete Förderungen: 1
Maßnahmentyp: HORIZON Research and Innovation Actions · HORIZON Action Grant Budget-Based
Wahrscheinliche Antragstellende: Unternehmen, KMU / Start-ups, Gemeinnützige, Hochschulen & Forschung, Öffentliche Stellen Aus Quellkategorien oder Programmregeln; maßgeblich ist die Ausschreibung.
Fördergeber: Horizon Europe (HORIZON)
Referenz: HORIZON-BRIDGING-2027-01-13
Ausschreibung: HORIZON-BRIDGING-2027-01
Zuletzt geprüft: 14. November 2026

Offizielle Ausschreibung öffnen ↗ Frist zum Kalender hinzufügen

Die offiziellen Beschreibungen sind in der Sprache des Fördergebers (meist Englisch); Zusammenfassung und Eckdaten auf dieser Seite sind auf Deutsch.

Erwartete Ergebnisse

This topic aims to advance the scientific and technical foundations for the scaling of AI models, enhancing the performance of training and inference processes and providing European AI labs with the methodologies required to compete at the global frontier. Project results are expected to contribute to some of the following outcomes:

• Establishment of robust scaling laws and predictive frameworks that allow for the reliable estimation of model performance before large-scale compute investment.

• Enhanced competitiveness of European advanced AI models through optimised dataset mixtures, refined architectures, and superior hyperparameter configurations.

• Optimised development for frontier AI models, achieved via automated and scientifically grounded scaling methodologies.

Umfang

To maintain a leading position in AI, Europe must master the methodologies required to scale AI models’ performance, training and inference processes. Establishing a predictive methodology for AI model development ensures that limited computational resources are deployed with maximum efficiency, thereby bolstering the EU and AC’s technological sovereignty.

While previous actions have focused on training High-Performance AI models, this topic addresses the research gap in the underlying theoretical basis, methodologies and tools for predictable scaling of AI models and inference. By providing the technical foundations for high-performance systems without the costs of unguided experimentation, this action complements training-centric efforts. In this light, proposals should deliver, as an outcome of the research, a toolset designed to support the scaling of AI models.

Potential research areas include, but are not limited to:

Vollständigen Text lesen

• Automated Scaling Law Derivation: Research into scaling laws to predict performance across diverse modalities and tasks, moving beyond simple power laws.

• Exploratory Architecture Search: Developing automated methods to discover and refine model architectures that maintain performance while scaling both in training and inference, including innovations in sparsity, memory efficiency, and long-context handling.

• Dataset Mixture Optimisation: Research into the systematic selection, weighting, and sequencing of datasets. This includes developing tools for automated data quality assessment.

• Advanced Hyperparameter Tuning and Stability: Developing methodologies for stable training at large scales, including automated tuning of optimisers and learning rate schedules that remain effective as models grow.

Proposals should ensure that the developed frameworks and scaling methodologies are compatible with diverse hardware architectures, demonstrating that scaling is studied across different systems to avoid optimisation for specific proprietary hardware.

The selected project should actively support Advanced AI labs and High-performance Computing Centres already engaged in the development of frontier AI, ensuring that methodological advances are immediately validated in high-stakes environments. Proposals should describe how these scaling methodologies would benefit the development of models adapted to the specific requirements of particular strategic sectors, such as Public Administration, Manufacturing, Energy, Healthcare, Cultural and Creative Industries, or Physical AI.

Part of the Frontier AI Initiative, this topic complements HORIZON-CL4-2027-04-DIGITAL-EMERGING-11 “EU Frontier AI Initiative: Developing frontier AI solutions that are safe and computationally efficient within Apply AI” by establishing the underlying methodologies required for the large-scale training and inference of High-Performance AI models. Proposals should, therefore, describe the link between their planned activities and the objectives of topic…

Wer kann sich bewerben?

Consortium of at least 3 independent legal entities from 3 different EU Member States or associated countries, at least one in a Member State (Horizon Europe standard rule). Country restriction: participation is limited to legal entities established in Member States, Iceland and Norway and the following additional associated countries : Canada, Israel, Republic of Korea, New-Zealand, United Kingdom, Switzerland and Japan.

Antragstellerkategorien sind nur ein Ausgangspunkt. Über die Antragsberechtigung entscheidet die offizielle Ausschreibung.

Themen

Algorithms, distributed, parallel and network algorithms, algorithmic game theory Artificial intelligence, intelligent systems, multi agent systems High performance computing Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

Zeitplan

Single-stage call. Next deadline 2027-02-16. The portal states the exact cut-off time (EU calls usually close at 17:00 Brussels time).

So bewerben Sie sich

Lesen Sie das vollständige Topic im Portal: erwartete Ergebnisse, Umfang, Maßnahmentyp und die Teilnahmebedingungen einschließlich Länder- oder Konsortialvorgaben.
Registrieren Sie jede Partnerorganisation im EU Funding & Tenders Portal, um einen PIC zu erhalten.
Verbundprojekte in Forschung und Innovation benötigen in der Regel mindestens drei unabhängige Partner aus drei verschiedenen EU-Mitgliedstaaten oder assoziierten Ländern. Prüfen Sie die Regel für dieses Topic.
Bereiten Sie Teil A (Verwaltungsformulare und Budget im Portal) und Teil B (technische Beschreibung auf der offiziellen Vorlage für diesen Maßnahmentyp) vor.
Reichen Sie vor dem Fristende am Stichtag im Portal ein. Verspätete Anträge werden nicht angenommen.

From the call text

Who can apply: Not stated in the call text we hold — check the official page
Company stage: Not stated in the call text we hold — check the official page
Single applicant or consortium: Read the topic conditions on the EU Funding & Tenders Portal for eligible countries, consortium requirements, budget and the application route.
Where applicants must be based: Read the topic conditions on the EU Funding & Tenders Portal for eligible countries, consortium requirements, budget and the application route.
Where to apply: Read the topic conditions on the EU Funding & Tenders Portal for eligible countries, consortium requirements, budget and the application route.

EU-Leitfaden zur Antragstellung lesen

Offizielle Quellen

Offizielle Ausschreibungsseite

Die Angaben auf dieser Seite stammen aus der offiziellen Quelle und wurden zuletzt am 14. November 2026 geprüft. Maßgeblich sind immer die Unterlagen des Fördergebers einschließlich späterer Änderungen.