IBM released new iDataPlex high performance computing (HPC) servers with NVIDIA's Tesla 20-series GPUs:
"NVIDIA provides an innovative solution for customers who push the envelope in high-performance computing," said Dave Turek, vice president, Deep Computing, IBM. "GPU acceleration provides performance boosts for many applications in energy exploration, science and financial services. It is among the significant emerging supercomputer technologies to watch in the years ahead."
NVIDIA Tesla M2050 is a GPU Computing module integrated into servers that delivers dramatic performance benefits, while enabling maximum reliability and tight integration with system monitoring and management tools, giving data center IT staff greater choice in how they deploy GPUs.
"IBM's adoption of Tesla for their HPC server line is the most significant milestone in Tesla history," said Andy Keane, general manager, Tesla business at NVIDIA. "Scientists worldwide can now access the power of Tesla and CUDA from the world leader in technical computing."
GPU Computing is reaching critical mass. More than 350 universities are teaching CUDA, which enables GPUs to be deployed for supercomputing and other visual computing applications. In the past two years, 10 books have been written on the subject by researchers and developers. The CUDA developer toolkit has been downloaded more than 200,000 times, enabling the development of applications across many fields of scientific and high performance computing. These include financial modeling, oil and gas, federal and defense as well as key research codes in bioscience, such as AMBER, GROMACS and NAMD.