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Czech AI Factory

Objective

The Czech AI Factory (CZAI) project establishes a national AI Factory as a strategic pillar of the European AI and HPC ecosystem, addressing the persistent shortage of dedicated AI infrastructures in Central and Eastern Europe. CZAI is built around two tightly integrated components: the AI-optimised supercomputer KarolAIna and a comprehensive AI Factory Service Hub, delivering large-scale computing capacity, advanced software stacks, curated data access, and expert support services. The project provides a single, user-oriented access point for AI research, innovation, and deployment, tailored to key strategic sectors including industry, health and life sciences, sustainable energy, public administration, cybersecurity, and future mobility.

CZAI enables the full AI lifecycle from data preparation and large-scale model training to deployment and validation while promoting trustworthy, explainable, and energy-efficient AI aligned with EU values and the AI Act. By facilitating secure access to AI-ready datasets and supporting federated and cross-border workflows, CZAI strengthens compliance with European data governance frameworks and contributes interoperable services to the distributed network of European AI Factories. The project places strong emphasis on SMEs, startups, and public and research institutions, lowering barriers to AI adoption and accelerating technology transfer.

CZAI delivers long-term impact through a sustainable operational and governance model, ensuring post-project continuity and financial viability. A distributed AI Training Academy and campus network will build human capital, address skills shortages, and enhance workforce resilience. Acting as a national hub and a European node, CZAI integrates Czech expertise into EuroHPC, TEFs, EDIHs, and other AI initiatives, laying a robust foundation for future large-scale developments, including cross-border AI programmes and potential evolution towards an AI Gigafactory.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-JU-RIA - HORIZON JU Research and Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-JU-EUROHPC-2025-AI-01-IBA

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Coordinator

VSB - TECHNICAL UNIVERSITY OF OSTRAVA
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 2 597 500,00
Address
17 LISTOPADU 2172/15
708 00 OSTRAVA PORUBA
Czechia

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Region
Česko Moravskoslezsko Moravskoslezský kraj
Activity type
Higher or Secondary Education Establishments
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 5 195 000,00

Participants (5)

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