Short Description
This GPU cluster at the University of Graz (Department of Digital Humanities) provides central computational infrastructure for compute-intensive research in Digital Humanities (DH) within the DHInfra.at project. The infrastructure comprises two high-performance computing nodes (total 12xH200), one inference node (4xL40S), and a login and storage node.
The facility supports both training and inference for demanding applications in humanities research, particularly for natural language processing and computer vision. Primary application areas include automatic text recognition (OCR/HTR), text analysis of historical corpora, and AI-supported analysis of cultural artifacts. The nodes are interconnected via InfiniBand network (400 Gb/s) for optimal data transfer.
The central login node enables federated authentication through Shibboleth, providing standardized access for researchers (and students) from the CLARIAH-AT consortium, associated institutions, and external partners. The infrastructure supports distributed computing and container-based workflows for scalable research projects. The infrastructure serves users with varying technical backgrounds, offering both interactive Jupyter environments and batch processing for larger computations.
The system specifications are expandable at both node and cluster level. The cluster is integrated into the distributed DHInfra infrastructure, enabling coordinated resource utilization. The system is integrated into European research infrastructures CLARIN and DARIAH via CLARIAH-AT and operates with professional support.
More information is available at https://www.dhinfra.at
Contact Person
Florian Atzenhofer-Baumgartner
Research Services
GPU computing for ML model training and inference
Container-based environments and front-end services
Federated access via Shibboleth for CLARIAH-AT partners and associated institutions
Methods & Expertise for Research Infrastructure
The Department of Digital Humanities develops and applies machine learning methods for humanities research. Focus areas include automatic text recognition of historical documents (OCR/HTR), natural language processing for text corpora analysis, and computer vision for cultural artifacts. The Institute has expertise in infrastructure and networking matters, particularly regarding repositories. The provision of services is supported by the IT Services of the University of Graz.
University of Salzburg
University of Innsbruck
University for Continuing Education Krems
University of Applied Arts Vienna
University of Vienna
Austrian National Library
Austrian Academy of Sciences