It specialises in High-Performance Computing, advanced data analytics, and scalable data management.

Its cutting-edge infrastructure enables researchers to address complex, data-driven issues in a variety of scientific and industrial domains.
In this way, the Lab links methodological innovation to real-world impact by turning complex data into actionable knowledge.

The Laboratory supports a wide range of modern data science activities.
Its high-end computing resources enable users to develop scalable data analytics frameworks for applications in engineering, economics, the social sciences and artificial intelligence, as well as machine learning methods for building intelligent systems that learn from complex data.

The Laboratory also enables highly demanding computational simulations to be run and complex optimisation problems to be solved.
By bringing together expertise from different domains, the Lab encourages multidisciplinary collaboration on data-driven challenges.

The Laboratory’s computing ecosystem combines:

• multi-core processing clusters,
• GPU-accelerated systems,
• high-capacity storage built for large-scale workloads

Multiple computing nodes run in parallel to efficiently handle demanding tasks, while a tiered storage architecture provides high performance for active datasets and secure long-term archiving of research data.
Researchers can use analytics tools, statistical packages, machine learning frameworks, and visualisation platforms, and can set up custom software environments for specific research needs.

The Laboratory welcomes collaboration with enterprises, research institutions, and other data centers.
Joint research projects encourage knowledge exchange and methodological progress, enabling rapid prototyping and the experimental validation of emerging technologies, as well as facilitating technology transfer.

Through these partnerships, the Lab strengthens interdisciplinary research networks and facilitates progress.

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