The data management and computing infrastructure supports research and education at universities, universities of applied sciences and research institutes. It also supports national innovation initiatives by making use of basic research results from higher education institutions and and research institutes in collaboration with working life.
New infrastructure ensures the international competitiveness of the Finnish research community in data and computing-intensive fields of research.
"Procurement will expand CSC's clientele considerably", predicted Vice Managing Director Tiina Kupila-Rantala of CSC. "Compared to now, it will promote, in particular, artificial intelligence research and the use of AI as a research tool, not to mention improve the conditions for data-intensive computing", she added.
The infrastructure will be installed in two main phases. In the first phase, the computing capacity being added will be available to clients by the end of March 2019, while the second phase will conclude in March 2020. During the third phase (2019-2021), capacity will supplemented to meet user needs arising later.
"The phasing has been planned by optimising the remaining lifecycle of the existing infrastructure. This also allows for the timely procurement of technologies and helps to minimise any interruptions in services", explained CSC Senior Application Specialist Sebastian von Alfthan.
In December 2017, the Ministry of Education and Culture entered an agreement with CSC to enhance expert support and training in data management and computing. The investment will support the development of expertise at both CSC and among its expanding user base.
According to Erja Heikkinen, Counsellor for Science Affairs at the Ministry of Education and Culture, it is vital that CSC be able to effectively meet the demands of its expanding clientele as well as provide training and support services for new fields of research. This will also facilitate the provision of local expert support in research organisations.
The development programme steering group consists of representatives from ministries, research organisations, research funders and companies. In addition to research infrastructure procurement, the steering group's task is also to initiate and chart research and training that requires data management and makes use of scientific computing in various fields. Another item on the steering group agenda is to ensure that research and training results in the field have a broad impact on society.
Scenarios for using the DL2021 development programme in computing and data-intensive research include:
1. Large-scale simulations
2. Medium-scale simulations
3. Data-intensive computing
4. Data-intensive computing of sensitive data
5. Artificial intelligence
6. Internet of Things (IoT) and data flows