Computing and Software
A state-of-the art computing environment, cloud services, an extensive selection of scientific software as well as access to international computing resources.
For large-scale parallel computation that requires exceptionally powerful supercomputing resources, from several hundreds to up to thousands of cores. A collection of pre-installed applications and development tools supports massive parallelism.
For general-purpose technical and scientific computing, from single-core serial jobs to parallel jobs of several hundred cores. A large collection of pre-installed applications and development tools. Special large-memory nodes for tasks requiring a large memory footprint. Specialized compute nodes with NVidia Tesla GPGPU compute accelerators.
Pouta Cloud Services
Cloud computing platforms cPouta and ePouta offer high performance computing with superior flexibility and user experience. Virtual computing environments can be dynamically configured by end-users. Easy self-service setup using a Web UI or a command-line interface.
Software and Databases
Finland's largest collection of scientific software and databases. Pre-installed software on CSC's computers, license keys, software consortia, service packages for specific scientific fields, and open source software developed by CSC.
Need more storage or computing resources? CSC Grand Challenge calls provide resources exceeding standard allocations. Research projects with extremely large-scale computing or storage demands can apply for resources on the most powerful supercomputers in Europe via the PRACE research infrastructure.
Customized Computing Solutions
CSC is the only supercomputer center in Finland and a center of expertise in computational research. We also implement dedicated computing systems for individual customers and customer groups.
Implementing next generation supercomputing and data management environment
CSC chose Atos as the single vendor to deliver the next CSC supercomputing environment that consists of the next-generation supercomputer and data management systems.
Machine learning and data-intensive computing
Data-driven research can benefit greatly from a top-notch environment. Large datasets can be analyzed with the Apache Hadoop and Spark frameworks. Machine learning tasks can be run in the computing environment, including the supported TensorFlow framework.
Grid computing enables applying the resources of many computers or computing clusters in a network to a single problem at the same time. The grid combines various computing resources, data banks, and measuring devices that comprise a pool of resources for coordinated, integrated and flexible shared use.
Funet Light Paths are high-performance data communication connections implemented separately from the Funet IP network (Internet). Users can benefit from the full data transfer capacity of these connections that are extremely secure due to their physical isolation from other network connections.