High Performance Cluster (HPC) Computing

High Availability Clusters for Greater Reliability or HPC Clusters for Greater Computational Power

Built-to-order MCE high-performance computing (HPC) clusterscan help you speed access to information, reduce risk and manage growth more easily.By design, a range of application environments will benefit, including those optimized for industrial design and manufacturing, financial services, life sciences, government and education.

Whether your work loads require large complex clusters or a cluster in your office, we will help you build dynamic, integrated HPC cluster infrastructure that is easy-to-deploy and easy-to-manage.

We have forged partnerships with a variety of leading providers of hardware, HPC middleware and GPU technologies. This combined with MCE integration services and support; customers gain the benefit of a single point-of-contact for the entire cluster solution – for reduced risk!

Custom HPC Clusters

MCEcost effective custom tailored clusters provide scalable performance leveraging industry standard servers,high speed interconnects, open source software (Linux) or Microsoft infrastructure. MCE can also customize pre-integrated HPC cluster solutions from HP and IBM to your specific requirements

HP Unified Cluster Portfolio
The HP Unified Cluster Portfolio is a modular package of pre-configured hardware and software for scalable computation, data management and visualization. It features flexible platforms, a wide range of open source and commercial middleware.

IBM Intelligent Cluster Portfolio  
IBMIntelligent Cluster solutions are built using IBMSystem xrack, BladeCenterand iDataPlexservers and can be optimized to meet client-specific requirements.

Nvidia Tesla GPU Computing  
GPU computing is the use of a GPU (graphics processing unit) to do general purpose scientific and engineering computing. The model for GPU computing is to use a CPU and GPU together in a heterogeneous co-processing computing model. The sequential part of the application runs on the CPU and the computationally-intensive part is accelerated by the GPU. From the user’s perspective, the application just runs faster because it is using the high-performance of the GPU to boost performance.