"Our collaboration with Google Cloud had begun before this project," explains Christophe Cruz. "Google Cloud had offered us to organize workshops to raise students' awareness of cloud technologies. This initiative seemed relevant to us because the cloud plays a crucial role in AI, offering rapid and economical access to the resources needed for intensive computing. The involvement of an expert in the field, therefore, represented an enriching opportunity for our students and their future research work."

Following these initial exchanges, the GEANT project arrived at the opportune moment to put the concepts discussed during the workshops into practice. "The cloud resources obtained through the GEANT project have truly been a game-changer for our research," confirms Christophe Cruz. "They have allowed us to access significant computing power, considerably accelerating our AI work and the scale of our projects. We have thus been able to test large-scale models and develop innovative tools, while training our students in future technologies."

"We also use Google Cloud to develop innovative services and explore new avenues in knowledge modeling, particularly in medicine. These projects, often carried out with industrial partners, allow our students to work on concrete cases and familiarize themselves with cutting-edge technologies," adds Christophe Cruz. "Developing skills on such a high-performance and innovative cloud infrastructure is an undeniable asset for our students. Moreover, the involvement of Google Cloud experts during the workshops allowed students to experience current practices in the professional world, thus preparing them for careers in fields where the demand for skills will continue to grow."

Furthermore, thesis projects, internships, and collaborations with industry have taken on a new dimension thanks to this privileged access to Google Cloud resources. And more broadly, cloud services have considerably expanded the research potential of the Laboratory, particularly in terms of efficiency in analyzing large volumes of data, thus paving the way for studies of unprecedented scale. In addition, the inherent flexibility of cloud solutions, particularly in terms of agility and elasticity, allows the Laboratory to simultaneously conduct experiments on different models in a multitude of configurations, thus significantly accelerating the research cycle.