Linked by Amjith Ramanujam on Wed 19th Nov 2008 22:07 UTC, submitted by caffeine deprived
Nvidia and partners are offering new "personal supercomputers" for under $10,000. Nvidia, working with several partners, has developed the Tesla Personal Supercomputer, powered by a graphics processing unit based on Nvidia's Cuda parallel computing architecture. Computers using the Tesla C1060 GPU processor will have 250 times the processing power of a typical PC workstation, enabling researchers to run complicated simulations, experiments and number crunching without sharing a supercomputing cluster.
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Member since:
2005-07-06
For what operations? How big and how fast is the the on-card memory on a C1060? What programming models does the C1060 support?
While I have no doubt it'll do vector math much faster than a general purpose CPU, it won't help much if you're processing a large data set as the PCIe bus will become the (very small) bottle-neck.
Edited 2008-11-19 22:44 UTC