ETAIS areas of activity
ETAIS aims to enable scientific and commercial simulations when data volumes exceed the limits of existing hardware or skills. Our solutions bring your idea to life. We help in situations where there is too much data, supercomputer power is needed, or a scalable application needs to be created from a prototype.
ETAIS offers all those involved in research and development the necessary computing resources – servers, storage space, training and user support.
ETAIS lends a helping hand when you want to get results quickly or when there is so much data that it cannot fit on your computer.
Artificial intelligence solutions
Training models on both the local cluster and the LUMI supercomputer.
High-performance computing
Cloud-based supercomputing, which is necessary for the rapid processing of large and complex data.
E-infrastructure
State-of-the-art e-infrastructure offers flexible services, eliminating the need for you to invest in large internal infrastructures.
Data services
Secure storage, backup and handling of data on the SAPU platform created by the University of Tartu High Performance Computing Center.
Resource management platform Waldur
We use the Estonian Government Cloud service management platform Waldur, which includes convenient tools for managing various resources.
Cybersecurity analysis and consultations
High level of ability to protect data and systems against potential cyber threats.
Who are we?
The Estonian Scientific Computing Infrastructure (ETAIS) is a pan-Estonian unified e-infrastructure that offers users cloud services, classical scientific computing (HPC – high-performance computing), hosting and management services for scientific web applications, and resources for repositories. In addition, ETAIS provides access to the fastest supercomputer in the Nordic countries, LUMI, located in Finland.
Customers
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Using TalTech’s HPC cluster saves a huge amount of computer time on a student’s personal computer, as running a 3D aerodynamics simulation takes up all the resources of even the best standard computer for up to a day, essentially rendering it useless.
Formula Student Team Tallinn
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The deployment of the University of Tartu’s HPC supports scalability, ensuring efficient handling of growing data volumes, which allows Better Medicine to expand its product range in the clinical research landscape.
Better Medicine OÜ
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GScan muFLUX Infradetectors can be used for 3D imaging of abandoned nuclear reactors to ensure a safe decommissioning process. HPC speeds up data processing, so retrofits can be completed in a shorter time.
GSCAN
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The Rocket cluster of the University of Tartu HPC Center allows for the analysis of 32 samples in parallel using the Nextflow workflow with Singularity container. In addition, HPC resources are used to securely store raw data and analysis results, ensuring data integrity and confidentiality with backup systems.
Celvia OÜ
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A machine translation system was developed using HPC to support translations between 20 low-resource Finno-Ugric languages and 7 high-resource languages. The corpora were collected primarily from the web and combined with existing datasets. All machine translation models were trained on the LUMI supercomputer.
TartuNLP
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The company needed a customized machine translation system to speed up the translation process. Lacking previous experience with natural language processing and machine learning, they collaborated with the TartuNLP team. The machine translation model was trained on the Rocket cluster of the University of Tartu HPC Center, enabling the creation of a customized and higher-quality translation solution.
Luisa Tõlkebüroo OÜ
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In collaboration with the University of Tartu HPC Center, a system has been created where test logs are automatically copied to HPC storage, converted to metadata, and stored in a MongoDB database. Parallel processing in the HPC cluster significantly speeds up the process, ensuring that metadata is available by the next morning.
Bolt