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what is the best nvidia Video Card for cuda development. a single GTX 295 has 2 GPUs, is it possible to have 2 GTX 295 and use the 4 GPUs in my cuda code?
is it better to get two 480 cards rather than two 295? would a fermi be better than both cards?
Whatever fits in your budget and suits your needs. I know this is a bit vague, but after all it really is as simple as that 😉
Sure, it is. The only drawback is that the 2 GPUs on the GTX 295 share a single PCI. Whether this is relevant for you or not depends if the application needs intensive communication with the host or not.
From the point of view of raw peak performance a GTX 295 (which is almost 2x GTX 280, not considering the shared PCI) is better than a 480. However the GF10x series architecture improved on many points compared to the GT200, for details see the “Fermi whitepaper” and the “Fermi Tuning Guide”.
If you’re planning to use double precision, the GF10x series has much improved double precision support, but it’s good to know that this is capped on GeForce cards to 1/8-th of the single precision performance (normally it’s about half)
Therefor, I would suggest that unless you have a strong reason to get lots of GFlops (Folding@Home?) in the form of soon to be outdated hardware, get a GTX 480 or a 470 if you want to save ~25%.