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Recording of the Webinar: Use of HPC at the Slovak Hydrometeorological Institute

Thank you to everyone who attended the expert online lecture Use of HPC at the Slovak Hydrometeorological Institute, led by Mgr. Mária Derková, PhD., from the Slovak Hydrometeorological Institute.

Recording of the Webinar: Use of HPC at the Slovak Hydrometeorological Institute

Thank you to everyone who attended the expert online lecture Use of HPC at the Slovak Hydrometeorological Institute, led by Mgr. Mária Derková, PhD., from the Slovak Hydrometeorological Institute.

The lecture provided insights into how the Slovak Hydrometeorological Institute (SHMÚ) has been using the high-performance computing system NEC-LX (in operation since 2021), primarily for numerical weather prediction with the ALADIN model. Various configurations of the model and its broader applications were presented – including climatological and hydrological models, as well as models for air quality analysis and forecasting. The presentation also covered the processing of data from radars and satellites, along with a discussion on the potential for expanding HPC use to nowcasting, ensemble forecasting, and AI/ML techniques.

BeeGFS in Practice — Parallel File Systems for HPC, AI and Data-Intensive Workloads 6 Feb - This webinar introduces BeeGFS, a leading parallel file system designed to support demanding HPC, AI, and data-intensive workloads. Experts from ThinkParQ will explain how parallel file systems work, how BeeGFS is architected, and how it is used in practice across academic, research, and industrial environments.
When a production line knows what will happen in 10 minutes 5 Feb - Every disruption on a production line creates stress. Machines stop, people wait, production slows down, and decisions must be made under pressure. In the food industry—especially in the production of filled pasta products, where the process follows a strictly sequential set of technological steps—one unexpected issue at the end of the line can bring the entire production flow to a halt. But what if the production line could warn in advance that a problem will occur in a few minutes? Or help decide, already during a shift, whether it still makes sense to plan packaging later the same day? These were exactly the questions that stood at the beginning of a research collaboration that brought together industrial data, artificial intelligence, and supercomputing power.
Who Owns AI Inside an Organisation? — Operational Responsibility 5 Feb - This webinar focuses on how organisations can define clear operational responsibility and ownership of AI systems in a proportionate and workable way. Drawing on hands-on experience in data protection, AI governance, and compliance, Petra Fernandes will explore governance approaches that work in practice for both SMEs and larger organisations. The session will highlight internal processes that help organisations stay in control of their AI systems over time, without creating unnecessary administrative burden.