
(JohnRoach) Capable of transforming a workstation into something that outperforms a small cluster which is claimed to be faster and more energy-efficient than a shared cluster in the data center.

(JohnRoach) Capable of transforming a workstation into something that outperforms a small cluster which is claimed to be faster and more energy-efficient than a shared cluster in the data center
Check out the video demonstration of how this system builder couples the Nehalem along with the Tesla.
http://www.crn.com/video/index.jhtml?id=20052902001
The Tesla C1060 is based on the massively parallel, multi-core Tesla processor, which is coupled with the standard CUDA C programming environment to simplify multi-core programming which claims to deliver cost savings and a high efficiency computing platform
Features and Benefits
- Industry’s first massively multi-threaded architecture with 240-cores.
- Many-core architecture delivers optimum scaling across HPC applications.
- Optimized for scientific computing, delivering up to 15x cost savings, 20x lower power, and 250x the performance than traditional 1U rack-optimized servers or desktop workstations.
- Scale to thousands of processor cores to solve large-scale problems by splitting the problem across multiple GPUs.
- High-efficiency computing platform for energy-conscious organizations.
- NVIDIA CUDA Technology unlocks the power of Tesla many-core computing products.
- Seamlessly able to fit into existing HPC environments.
- Ideal for life sciences, geosciences, engineering & sciences, molecular biology, medical diagnostics, electronic design automation (EDA), government and defense, visualization, financial modeling, and oil & gas applications.