The amount of raw data needed to process research analysis in drug discoveries, oil and gas exploration, and computational finance create a huge demand for computing power. In addition, the 3D visualization analysis data has grown a lot in recent years moving visualization centers from the desktop to GPU clusters. With the need of performance and memory capacities, Appro clusters and supercomputers are ideal architectures combined with the latest CPUs and GPU's based on NVIDIA® Tesla™ computing technologies. It delivers best performance at lower cost and fewer systems than standard CPU-only clusters. With 240-processor computing core per GPU, C-language development environment for the GPU, a suite of developer tools as well as the world’s largest GPU computing ISV development community, the Appro HyperPower GPU clusters allow scientific and technical professionals the opportunity to test and experiment their ability to develop applications faster and to deploy them across multiple generations of processors.

The Appro HyperPower cluster features high density 1U servers based on Intel® Xeon® processors and NVIDIA® Tesla™ GPU cards onboard. It also includes interconnect switches for node-to-node communication, master node, and clustering software all integrated in a 42U standard rack configuration. It supports up to 304 CPU cores and 18,240 GPU cores with up to 78TF single/6.56 TF double precision GPU performance. By using fewer systems than standard CPU-only clusters, the HyperPower delivers more computing power in an ultra dense architecture at a lower cost.

In addition, the Appro HyperPower cluster gives customers a choice of configurations with open-source commercially supported cluster management solutions that can easily be tested and pre-integrated as a part of a complete package to include HPC professional services and support.

Ideal Environment:
Ideal solution for small and medium size HPC Deployments. The target markets are Government, Research Labs, Universities and vertical industries such as Oil and Gas, Financial and Bioinformatics where the most computationally-intensive applications are needed.

Installed Software
The Appro HyperPower is preconfigured with the following software:
- Redhat Enterprise Linux 5.x, 64-bit
- CUDA 2.2 Toolkit and SDK
- Clustering software (Rocks Roll)

CUDA Applications
The CUDA-based Tesla GPUs give speed-ups of up to 250x on applications ranging from MATLAB to computational fluid dynamics, molecular dynamics, quantum chemistry, imaging, signal processing, bioinformatics, and so on. Click here to learn more about these speedups with links to application downloads.,

(This news sourced from Appro Ltd. and can be reached their web site)