what is the difference between a NVIDIA Quadro 6000 and Tesla C2075 graphic cards?

Question

I am looking into GPU computing and I can't figure out what the technical / performance differences are between a NVIDIA Quadro 6000 and a NVIDIA Tesla C2075 graphics card. They both have 6GB of RAM and the same number of computing cores. So what's the difference? I want to do CUDA computations with the card.

EDIT: Please, if Nvidia says that card X is good for climate calculations, card y is great for seismic processing, than this is nothing but PR. There is no graphic card made for climate calculations. A card is either good for single or double precision computing, or for FFTs etc. And that's exactly my questions here: what are the technical differences and for what kind of computations should I expect to get faster results on one card vs the other.

Solution

The biggest hardware difference is that Tesla cards have ECC memory, which is important if you're doing long computations and you want to be able to believe the results.