ClusterVision specialises in high performance computing (HPC) solutions. We design, build, manage, and support supercomputers.
High performance computing accelerates scientific discovery. It is with this in mind that ClusterVision provides state-of-the-art, fully tailored HPC clusters to researchers and innovators all over Europe. With in-house software development and a large team of technical specialists (60% technical staff), we work to not just participate in HPC, but to advance the technology behind it.
By providing customised solutions accompanied by an exhaustive set of services and trainings, we ensure that our customers can take maximum advantage of HPC technology in order to expand knowledge and advance their respective fields of study.
Cluster Systems
Forefront of HPC TechnologyCluster Production
Deployment of Topnotch Infrastructure
TOP500 Supercomputing Sites
Twice yearly, the renowned TOP500 is published in which the fastest computer systems being used today are listed. Based on the Linpack benchmark performances, the list has been used to define what “supercomputers” really are and which systems can be defined as such continuously since June 1993. The TOP500 is edited by Prometeus GmbH, who are also responsible for hosting ISC, the main European HPC conference, every year in Frankfurt.
ClusterVision is proud to have been listed twenty times, including in the top twenty: ClusterVision implemented the MAKMAN-2 installation (hardware provided by Dell) for Saudi Aramco. The VSC-3 cluster we built for the Technische Universität Wien uses revolutionary mineral oil cooling technology, developed with our partner GRC. The HPC Midlands Plus installation, hosted at Loughborough University, utilises different architectures using our TrinityX cluster ecosystem.
MAKMAN-2
Saudi Aramco (Dell Hardware)VSC-3
Vienna Scientific ClusterAthena
HPC Midlands PlusBifrost
National Supercomputer CentreMinerva
Max-Planck-Gesellschaft MPI/Albert-Einstein-InstitutLOEWE-CSC
Universität Frankfurt
The University of Hull was a Greenfield site with respect to HPC but we had huge aspirations with regards to where we wanted to be with regards to computationally based research.
ClusterVision immediately understood our HPC vision and provided us with a technologically advanced system, Viper, that has propelled the University into the top 10 of UK higher educational HPCs with regards to performance. By working closely with the University at every stage of the installation ClusterVision have helped us deliver significant ‘step-change’ in the way that our research is seen to be resourced, conducted and supported.
Graeme N. Murphy, University of HullThe new CÉCI cluster to be installed at the ULB had to feature a very high number of cores interconnected with an InfiniBand network and with a well-balanced storage system to allow fast IO response to the CPU load while enabling high capacity expansions. ClusterVision proposed a unique combination of hardware and software components matching exactly our needs. The quality of the cluster assembly and configuration reflects ClusterVision engineers and technicians experience in HPC.
Dr. Raphael Leplae, Université libre de BruxellesFrom all solutions offered to us, ClusterVision’s solution has been the most convincing one. With its flexible and innovative design, this solution fulfils our special need for energy-efficiency combining highest computing power. We have been successfully testing a small scale mineral oil cooling system for more than two years now and I am excited we could scale it up to full size with ClusterVision.
Dipl.- Ing. Dr. Ernst Haunschmid, Technische Universität WienThe ClusterVision solution won out in a very close competitive tender process, as the technology was judged to be the best match to our requirements. In addition, ClusterVision and their selected partners showed a real commitment to collaborate with the University not only to deliver excellent hardware and software, but also a service package which met our specific requirements.
Dr. Colin Bannister, University of Nottingham