The implementation of the SAIFA project – Serbian Artificial Intelligence Factory Antenna has officially begun. The project is coordinated by the University of Belgrade, School of Electrical Engineering, with financial support from the European High Performance Computing Joint Undertaking (EuroHPC JU).
SAIFA is part of a broader European initiative aimed at developing a new generation of AI Factory environments that integrate artificial intelligence, high-performance computing (HPC) infrastructure, expertise, and user support across Europe. As Serbia’s AI Factory Antenna, the project will strengthen access to AI and HPC resources for academia, research institutions, the public sector, startups, and industry, while also improving the integration of the national ecosystem into European AI networks and initiatives.
The project kick-off meeting was held at the Palace of Science in Belgrade, bringing together representatives of partner institutions and relevant national initiatives. The meeting presented the project’s objectives, planned activities, and opportunities for cooperation in the fields of artificial intelligence and high-performance computing.
The project consortium includes the University of Belgrade – School of Electrical Engineering, the Faculty of Sciences of the University of Kragujevac, the Institute for Artificial Intelligence Research and Development of Serbia, the Mihajlo Pupin Institute, the Institute of Molecular Genetics and Genetic Engineering, the Office for IT and eGovernment, and the Institute of Physics Belgrade.
Through its participation in SAIFA, the Institute for Artificial Intelligence Research and Development of Serbia continues to contribute to the development of both the national and European AI ecosystem by strengthening research capacities, fostering international collaboration, and improving access to advanced technological resources for the development of innovative AI-driven solutions.
The project is funded by the European High Performance Computing Joint Undertaking (EuroHPC JU) under Grant Agreement No. 101263280.