IT4Innovations is a research and development centre with strong international connections. It is involved in all activities of  EuroHPC Joint Undertaking and in a number of prestigious international organisations.

IT4Innovations is actively involved in the European network of AI Factories – it is a member of the LUMI AI Factory and the coordinator of the Czech AI Factory.

The centre serves as a National Centre of Competence in HPC, and is a member of the MaX, SPACE, POP3, and CLARA Centres of Excellence. IT4Innovations is also a partner in more than 20 international projects funded by Horizon 2020, Horizon Europe, and Digital Europe programmes, and collaborates with the European Space Agency (ESA) on research and innovation activities.

The implementation of national projects financially supported by the Ministry of Education, Youth and Sports, the Ministry of Industry and Trade, the Ministry of the Interior, the Grant Agency of the Czech Republic or the Technology Agency of the Czech Republic is also important. Some of the projects are carried out in the form of contract research with commercial entities.

TOP 5 IT4INnovations PROJEcTs

e-Infrastructure CZ

2023–2026
Project ID: LM2023054

Provider: Large Infrastructures for Research, Experimental Development and Innovation project

 e-INFRA CZ is a unique e-infrastructure for research, development, and innovationin the Czech Republic, which represents a fully transparent environment providing complex capacities and resources for scientific data transfer, storage, and processing to all entities focused on research, development, and innovation across sectors.

It creates a communication, information, storage, and computing platform for research, development, and innovation both at the national and international levels. It also provides an extensive and comprehensive portfolio of ICT services for conducting modern research, development and innovation.

The main components of e-INFRA CZ include:

→ high-performance national communication infrastructure,

→ national grid and cloud infrastructure,

→ the most powerful and state-of-the-art supercomputing systems in the Czech Republic,

→ high-capacity data storage facilities.

Other tools and services, such as access control to ICT resources, tools to support remote cooperation, and tools to ensure secure communication and data protection, are also an essential part and an added value of this infrastructure, contributing to its efficient and diverse use.

www.e-infra.cz

 

Czech AI Factory (CZAI)  
2026–2029  
Project ID: 101314740

Czech AI Factory (CZAI) is the Czech node of the European network of AI Factories established under the EuroHPC Joint Undertaking (EuroHPC JU). Its mission is to build a modern infrastructure and provide services for the development, testing, and deployment of artificial intelligence (AI) powered by high-performance computing (HPC).
CZAI brings together supercomputing resources, data, expert support, and application know-how into a single, integrated ecosystem accessible to companies, startups, public sector organisations, and research institutions. It addresses the shortage of specialised AI infrastructure in Central and Eastern Europe by integrating the newly deployed KarolAIna supercomputer, optimised for AI workloads, with a comprehensive portfolio of AI services.
CZAI supports the entire AI lifecycle and drives innovation across industry, transport, energy, healthcare, public administration, and cybersecurity.

 

 
LAIF Service Center

LUMI AI Factory – Service Center

2025–2028
Project ID: 101234208

As AI technologies and methodologies continue to advance swiftly, Europe has been actively developing and strengthening the ecosystem of frameworks, environments, tools and services required to boost innovation. This comprehensive approach aims to harmonise AI strategies across the continent, addressing the technology’s challenges and opportunities while assessing its impact on public and private sectors and society at large. The LUMI AI Factory Service Center project is a part of the broader LUMI AI Factory ecosystem leveraging the current LUMI supercomputer but gearing up for the upcoming LUMI-AI system, and the related AI-optimised quantum experimental platform LUMI-IQ.

https://lumi-ai-factory.eu/

 
EuroCC 3

National Competence Centres in the framework of EuroHPC / Phase 3

2026–2029
Project ID: 101306701

The mission of the EuroCC 3 project is to promote the wider adoption of high-performance computing (HPC) in the Czech Republic. Through the National Competence Centre for HPC, it helps organisations identify opportunities for using advanced computing technologies, assess their benefits through Proof of Concept projects, develop expert competencies, and strengthen their innovation potential and competitiveness.

The support is intended primarily for organisations seeking to innovate and make more effective use of advanced computational methods in practice.

www.eurocc-czechia.cz/en

 

 
CLARA

Center for Artificial Intelligence and Quantum Computing in System Brain Research

2024 – 2030
Project ID: 101136607

CLARA, the Center for Artificial Intelligence and Quantum Computing in System Brain Research, represents the interdisciplinary center of excellence focused on the next generation of artificial intelligence/machine learning applications and quantum-centric supercomputing tools to push the frontier of neurodegeneration research, particularly Alzheimer's disease. The CoE seeks deep field knowledge and processing of large-scale biological and clinical data that will enrich the collective understanding of these emerging technologies and solve real-world challenges, thus accelerating innovations and the future of computing for the benefit of society.

https://www.clara-center.eu

OTHER IT4INNOVATIONS PROJECTS

RE-free magnetoelastic materials for efficient and environmentally friendly cooling
RE-free magnetoelastic materials for efficient and environmentally friendly cooling

2025–2027

Project ID: 25-14529L

Provider: GACR

The aim of the project is to search for novel materials for magnetic refrigeration based on a large magneto- and barocaloric effects using the synergy of the theoretical ab-initio calculations and experimental materials-type studies. A special attention will be paid to the study of the thermal expansion in search of materials exhibiting negative thermal expansion (NTE) and magnetoelastic phase transition that may enhance the MCE/BCE due to the low thermal hysteresis, distinctive change of magnetic order and lattice parameters. The research will be conducted within international cooperation of experimental teams in PL and theoretical one from CZ.

Magnetoelasty of non-cubic materials in spin-lattice dynamic simulations
Magnetoelasty of non-cubic materials in spin-lattice dynamic simulations

2024–2027

Project ID: 24-11388I

Provider: GACR

Material elastic properties are important for practical application. Nevertheless, for magnetic materials, high complexity emerges because of the coupling of magnetic and elastic properties. The postdoc project of Jakub Šebesta aims at the generalization of the spin-lattice dynamic approach beyond the scope of cubic materials. This model represents a highly efficient scheme to cover magnetoelastic behavior, such as magnetostriction or magnetoacoustic effects. However, the current approach applies only to simple structures. The generalization will allow one to study and explain magnetoelasticity in more complicated compounds and alloys, i.e. providing more useful materials with high application potential. Namely, the generalization of the magnetic terms in spin-lattice dynamic for tetragonal structures is suggested. Further, the derivation of sound wave propagation in lower symmetry is proposed. Finally, the influence of high-order correction in elastic and magnetoelasticity will be considered.

Magnetism at interfaces: from quantum to reality
Magnetism at interfaces: from quantum to reality

2022–2025

Project ID: 22-35410K

Provider: GACR

Permanent magnets are a key technology for modern society with applications in air conditioning, mobility, and power generation. In state-of-the-art permanent magnets, the atomic-scale defects, like in the grain boundary phase, have the most significant effects on the macroscopic properties (e.g., coercivity). In this project, a quantitative theory of coercivity, in terms of the local atomic structure, the spatial variation of the intrinsic magnetic properties, and the physical micro-structure of the magnet will be studied. To achieve this goal, a unique scheme of simulation procedures will be developed between quantum mechanical calculations, atomic spin dynamics, and micromagnetic continuum simulations. Magnetic properties will, therefore, be newly taken into account on the atomic scale, i.e., with the inclusion of atomic interface defects and grain boundaries. This will avoid the use of former assumptions in the use of magnetic properties from solid phases. This will allow a multi-scale model to be built to determine the magnetic properties of real materials.

Unconventional superconductors under extreme conditions
Unconventional superconductors under extreme conditions

2022–2024

Project ID: 22-22322S

Provider: GACR

The recently discovered superconductivity in the nearly magnetic compound UTe2 boosted interest in unconventional superconductors. The results published so far indicate multiple superconducting phases and magnetic ordering induced by applying an external magnetic field and/or hydrostatic pressure. The revealed analogies of the behaviour of UTe2 with the properties of ferromagnetic superconductors URhGe, UCoGe and UGe2 may help develop a unified theory of unconventional superconductivity. The project will bring together experimentalists (Charles University) and theorists (VSB-TUO) to collaborate intensively in a comprehensive investigation of a complex phase diagram of UTe2 and related compounds employing a yet unseen combination of experimental measurements and state-of-the-art theoretical ab initio calculations of thermal expansion, magnetostriction, heat capacity, magnetisation, elastic constants, and electrical transport of unconventional superconductors under multi extreme conditions.

Tailoring thermal stability of W-Cr based alloys for fusion application
Tailoring thermal stability of W-Cr based alloys for fusion application

2020–2022

Project ID: 20-18392S

Provider: GAČR

The project dealt with the physical principles that will increase the phase stability region between the immiscibility and melting temperatures using an example of desired alloys with a self-passivation role for fusion reactor vessels. A phase diagram of the W-Cr system was constructed using first-principles methods, and the physical properties (speed of sound, melting temperature, immiscibility region) were determined. Both the phase diagram and these quantities were verified experimentally. Enriching the alloy with transition metals from the sixth period changed the phases’ melting and miscibility. The project’s main idea is to determine the change in these temperatures based on the change in the acoustic branches of the added element’s phonon spectrum (elasticity). Using XRD analysis and RUS measurements of the experimental samples, data was obtained to provide feedback for theoretical modelling to develop an alloy able to withstand a “Loss of Coolant Accident”. Furthermore, a physical model based on the Hubbard Hamiltonian was derived to determine the influence of quantities such as entropy on the behaviour of the immiscibility region.

Space-time Boundary Element Methods for the Heat Equation
Space-time Boundary Element Methods for the Heat Equation

2019–2021

Project ID: 19-29698L

The project brings together experts in two related fields, numerical analysis and high-performance computing, to jointly develop fast and massively parallel methods for general discretisation of space-time boundary integral equations for the heat equation to enable adaptive mesh refinement in space and time. The developed methods will be based on clustering, which is used for discretisation with a constant time step and a fixed space mesh. To generate adaptive meshes, classical a posteriori estimate methods will be applied. Being memory--intensive, solution of global space-time problems requires the use of computing clusters. However, it also permits space-time parallelisation. An optimised and parallelised code will thus enable full performance utilisation of the existing as well as future supercomputers.