In possibly one of the best named marketing efforts ever, NVidia have announced their “Mad Science” promotion – just in time for Christmas! The deal is simple – buy a Tesla card now, and get a free upgrade to the equivalent Fermi based card when they start shipping:
When you purchase a Tesla C1060 GPU Computing Processor through this promotional offer, you will qualify for a no penalty upgrade to a Tesla C2050 or a Tesla C2070 GPU Computing Processor. Start experiencing GPU computing today on a Tesla C1060 and be assured to be one of the first to receive the new Fermi-based Tesla C2050/C2070 GPU Computing Processor.
Posted on November 23, 2009 by Tom Kranz in HPC, Technology
Over on their nTersect blog NVidia have post an interesting interview with Pat McCormick, a Research Computer Scientist, at Los Alamos National Lab (LANL). If you’ve ever wondered exactly how using GPUs for computation would work, or how much of a performance improvement it could bring to your workloads, you should watch this interview.
According to Pat, “Our research challenge is dealing with massive amounts of data, not only from the high performance computing aspect but how to analyze the data from simulations.”
This isn’t an HPC problem, it’s an issue that affects every business today. As storage expands and business needs grow, faster and more efficient methods of data analysis are needed – and GPUs seem to be offering the most cost-efficient way to solve this at the moment.
