Bought a few months ago a random graphic card based on GTX 480, works very well, available in any PC store in the street -- easier than buying an older generation one (e.g. GTX 280, much mentioned in tutorials but harder to find and slower)
See http://en.wikipedia.org/wiki/GeForce_400_Series for a comparison of the models in the series. Basic number to look at is the first one in the triple in column "Config core": it is the number of shaders, aka "cuda cores". Caution: don't forget that you may need a stronger power supply than standardly shipped in your computer: minimum 500 or 550 Watts (depend on the GPU model). Bringing back the GPU only to find the lack of power supply was like one of those Christmases when you open a wonder-toy that the batteries are not included and that all the stores are closed for the week-end ;) Hope this helps, enjoy the shopping. Julien On Fri, Oct 29, 2010 at 3:53 PM, Neal Becker <ndbeck...@gmail.com> wrote: > I got an OK to buy some cuda-capable hardware to try some experiments with. > I'm thinking to use an existing server, and buy a good pcie card. Any > suggestions what might be good for trying some pycuda experiments? > > > _______________________________________________ > PyCUDA mailing list > PyCUDA@tiker.net > http://lists.tiker.net/listinfo/pycuda > _______________________________________________ PyCUDA mailing list PyCUDA@tiker.net http://lists.tiker.net/listinfo/pycuda
