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New Machine Learning Cluster for ScaDS.AI

In February, a new HPC cluster, which is especially designed for machine learning, will be handed over to user operation at the data center of TU Dresden (LZR - Rechenzentrum Lehmann-Zentrum). It was financed from a special budget of the BMBF for our competence center ScaDS.AI Dresden/Leipzig.

After a Europe-wide tender, NEC Deutschland GmbH won the bid and was able to start installation in December 2020. At the heart and essential for the computing power are a total of 272 A100 GPUs from NVIDIA. Eight of these GPUs are contained in each of the 34 compute nodes. Their respective theoretical maximum performance of floating point operations is more than 2.6 PFlop/s at 64-bit and more than 5.3 PFlop/s at 32-bit. This is expected to make the system fast enough for an entry in the upcoming Top500 list in June 2021.

Each node also features a large 1 TB of main memory and 3.2 TB of local NVMe cache to quickly feed data to the GPUs. Fast connectivity to the central HPC storage complex is provided via two HDR Infiniband ports each with a combined 400 Gbps. The maximum power consumption of a node is 4.8 kW. Direct hot water cooling ensures high energy efficiency while utilizing the waste heat.

The new computing cluster will be integrated into the existing high-performance computing infrastructure of the Center for Information Services and High Performance Computing (ZIH) and will primarily be available for the research of the competence center ScaDS.AI Dresden/Leipzig. In particular, the execution of highly parallel applications that use artificial intelligence methods for fast data analysis will benefit from this efficient system and advance both model development and expressiveness of analyses. Currently, the system is in the acceptance phase and is available for initial testing with scientific applications. Access can be requested via an HPC-DA project application on the ZIH HPC web pages:

🤖 Podcast-Beitrag: Neustart – Die Zukunft beginnt mit uns 🤖

Episode 5: Die Macht der der Algorithmen

Unser Leipziger Forscher Dr. Christian Martin diskutiert in der aktuellen Folge von Neustart-Die Zukunft beginnt mit uns die Chancen, Möglichkeiten, aber auch Risiken algorithmischer Verfahren gemeinsam mit dem Moderator Tobias Hülswitt und der Politikwissenschaftlerin Prof. Dr. iur. Sabine Müller-Mall von der TU Dresden. Was kann ein Algorithmus wirklich und was kann er nicht? Welche Gefahren entstehen durch algorithmischen Voreingenommenheit (Bias) und inwieweit ist eine solche Voreingenommenheit diskriminierend?

Die Episode kann unter Podcast oder Apple Podcast gehört und die Show abonniert werden. 



Apple Podcast: 


Translation: Artificial Intelligence for Leipzig

At the University of Leipzig's Institute for Computer Science, there has long been a focus on Big Data. With funding approved at the beginning of November, a new focus is now to be added: Artificial Intelligence (AI). At the University of Leipzig, in cooperation with TU Dresden, ScaDS.AI, one of five selected AI competence centers in Germany, will receive long-term funding.

The subject of AI becomes part of university education

As part of the funding, not only will the AI Competence Center be developed, but the subject of AI will also be incorporated into university education, for which the federal government and the state of Saxony will provide between 7.5 and 12 million Euros a year. Therefore, four new professorships will be established at the Institute of Computer Science at the University of Leipzig. Likewise, the new master's program "Data Science" was launched this year, in which students will learn how to process and analyze large datasets. Professor Erhard Rahm, co-director of the AI Center and head of the study program at the Institute of Computer Science at the University of Leipzig, explains: "The new professorships are needed particularly for the master's program in Data Science, so that we can be put on a broad footing here and create more capacity for students.

Leipzig to become more attractive for AI research

With the focus of the competence center and the degree program on practical applications, cooperation on the one hand with other institutes of the university is conceivable in order to expand other degree programs with the subjects of Big Data and AI, but on the other hand, cooperation with companies from the region is also considered: "In this way, we can achieve that research results from our AI center are transferred to the companies and thus the companies are strengthened in competition - in other words, one establishes a high level of competitiveness with the latest methods," explains Rahm. To make Leipzig an even more attractive location for AI research, a new computing center is also planned to provide the necessary infrastructure for the computing-intensive research and development of AIs. The expenses for this project are to be covered by the Coal Region Structural Strengthening Act. Those involved in the project hope to be able to provide an infrastructure for many jobs in the future. Rahm is confident: "In the field of AI, we are about to take a leading edge with the nomination of the new professorships, and we have the opportunity to attract very promising new students here." 





We are moving our Leipzig office to a bright and spacious rental area at the Löhr’s Carree office building on the 17th of December. There ScaDS.AI will have enough space for our grown team of 66 people in 21 office rooms. The new office includes kitchens for the staff, rooms for a graduate school, teaching and meeting rooms, a large conference room, as well as space for our emerging AI and Big Data Living Lab.


Next April the ScaDS.AI office will further grow by a second floor and another 21 office rooms. This second floor will provide the space for the four scheduled new professorships, the planned Humboldt professorships and their associated workplaces. Last week the team started packing the boxes and got ready to move by carrying the beloved office plants to the new rooms.

👉 Stellenausschreibungen

Wir suchen neue wissenschaftliche Mitarbeiter/innen für den Ausbau des ScaDS.AI Dresden/Leipzig zu einem führenden deutschen Kompetenzzentrum für Big Data, Data Analytics und Künstliche Intelligenz am Standort Dresden, in der Forschung und Entwicklung in verschiedenen Forschungsgebieten, wie

  • mathematische Optimierungsprobleme für das skalierbare Maschinelle Lernen, 
  • adaptive Dynamische Systeme,
  • wissensbasierte Systeme,
  • angewandte Ethik,
  • Unterstützung und Weiterentwicklung von Demonstratoren und prototypischen Entwicklungen zur Darstellung methodischer Lösungen,
  • Anwendung von Methoden zur Unterstützung datenintensiver wissenschaftlicher Workflows.

Was Sie an der TU Dresden erwartet?

Eine dynamische, weltoffene Universität mit 17 Fakultäten aus allen Wissenschaftsdisziplinen, eine der elf deutschen Exzellenz- universitäten, ein weitgefächertes Angebot aus 124 Studiengängen, ein lebendiger Campus, Sport, Kultur und eine äußerst attraktive, spannende Stadt.

Wir freuen uns auf Ihr Know-how und Ihre Bewerbung!

Wir sehen uns in Dresden!