The GPU is a powerful parallel processor that can be used to accelerate time critical algorithms. Modern GPUs maintain hundreds of arithmetic units and can be harnessed to provide tremendous acceleration for many numerically intensive scientific applications.

The flexibility of use and modularity of our solutions makes them perfect for use in numerous sectors of activity:

• Numerical Solutions
• Weather forecasting
• Financial Option Pricing
• Geoscience
• Medical Imaging
• Control Engineering
• Signal Processing
• Fluid Simulation

Such uses make the GPU Supercomputer potential great uses in the Medical, Life Sciences, Financial, Oil & Gas, and other sciences with highly paralleled applications.

What is a GPU supercomputer?

The model for GPU computing is to use a CPU and GPU together in a heterogeneous computing model. The sequential part of the application runs on the CPU and the computationally-intensive part runs on 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.

HPC Personal GPU Super Computer (Sample Configurations)