Turnkey HPC solutions
If you would like to have a look at the possibilities for a turn-key cluster with installation, configuration and maintenance, click on the button to use our configurator.

Clustering "of the shelve" servers is commonly used for many years by Universities and Research Departments to build powerful supercomputers. The concept is simple and proven. It is a cost effective way to provide high performance computing for a wide variety of applications in different fields of engineering and science. Possible workloads include CFD & FEM modeling, Bioinformatics, Geo data analysis, Business intelligence, Financial analysis and Digital media & visualization.
Clustering is the practice of connecting multiple servers or processors together into a single, unified computing resource. Processors can be of the same architecture (homogenous) or different architecture (heterogenous). Because it behaves like a single large resource, a clustered system offers many valuable benefits to a modern datacentre environment.
Linvision’s partnerships with the main third-party application providers guarantees clients a reliable and above all fast cluster solution that accelerate in scalability, energy efficiency, price/performance ratio and manageability. Melrow’s portfolio ranges from Intel Xeon and AMD Opteron processors to Intel Itanium or IBM Cell processers. Operating system support includes Red Hat enterprise Linux, SUSE Linux Enterprise and Microsoft 2003/2008 cluster environments. Complemented by a complete storage portfolio and leading fibre and Infiniband technologies we can design and integrate a wide range of technologies involved in developing a cluster or HPC including:
- Compute node specifications
- Data traffic and storage management
- Power management, sequencing and backup
- Operating systems, application loading tools, software image management, health monitoring, and performance analysis and tuning
- Ergonomics, serviceability and shipping
- Acoustic, vibration, power and thermal characterization
For further information about our HPC Clusters please contact us.