Computational research is one of the focus areas in Aalto University. The Science-IT project was founded in 2009 to facilitate the computational infrastructure needed in top-tier scientific research. Many Centres of Excellence and departments at Aalto University are using our  resources with great success. There are currently about 600 users from five different schools and at least 14 different departments using our resources. Science-IT is administered from the School of Science, and direct Aalto level funding enables use of our resources from all Aalto University, free of charge.

In Science-IT, we concentrate on mid-range computing and special resources needed by researchers in the School of Science. With local resources, we can provide high-quality support and even research-project-level customization.  Because our resources are integrated into the Aalto IT environment, with regular local training in the scientific computing practice to entry-level users, our resources enjoy an ease of access and lower barrier to entry than, for example, CSC HPC resources. We are also a basic research infrastructure, enabling the integration of separately purchased resources to our cluster and storage environments, with dedicated access for the purchaser.

Our services

Our team is mainly known for providing the Triton cluster, a mid-range HPC cluster with several thousand CPUs, 2PB storage capacity, Infiniband network, and many GPUs for deep learning and artificial intelligence research.  We provide a Jupyter Notebook based interface to enable light computing with less initial knowledge required to make our services easily accessible to everyone.  Our team also works with the CS, NBE, and PHYS departments to provide HTCondor (high throughput computing), data storage, and a seamless computational research experience.  We maintain, the central hub for scientific computing instructions and have a continuous training program, Scientific Computing in Practice.

Current research areas

  • Method development
  • Computational materials research
  • Network research
  • Neuroscience
  • Data mining
  • Deep learning and artificial intelligence
  • Big data analysis

Scientific outputs

Most of the computationally-intensive research outputs from our member departments use our resources.  In addition, at least the CS and NBE departments use our data storage for most big data projects.  You may view the our research results using (Science-IT infrastructure section).


Science-IT serves as the hub of large scale computational and data-intensive research at Aalto.  As such, we maintain many active collaborations which allow us to guide researchers to the right resource, regardless of who provides it.

We are a leading member of the Finnish Grid and Cloud Infrastructure (FGCI), a university consortium to support mid-range computing in universities.  FGCI, via Academy of Finland research infrastructure grants, funds a large portion of our work.  Thus, we maintain ties to most other universities in Finland as well as CSC, the national academic computing center.  Through the FGCI, we provide grid computing access across all of Finland and Europe.

Our team overlaps with the Departments of Computer Science, Neuroscience and Biomedical Engineering, and Applied Physics.

We maintain close collaboration with Aalto University IT Services (ITS).  We are not a part of ITS, but work closely with them as the computational arm of  IT Services.  ITS provides the base which we repackage and build on for many of our services.

Our team maintains ties to Aalto Research and Innovation Services (RIS) to guide data and research policy.  Triton is an Aalto-level research infrastructure.

We partner with CodeRefinery, a Nordic consortium to assist in training of scientists, to provide training and support computational competence.