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

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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.

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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.

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"NVIDIA® CUDA™ parallel computing architecture is enabled on GeForce®, Quadro®, and Tesla™ products. Whereas GeForce and Quadro are designed for consumer graphics and professional visualization respectively, the Tesla product family is designed ground-up for parallel computing and offers exclusive computing features."

http://www.nvidia.co.uk/page/why-choose-tesla.html

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Tesla C2075 has a Dual-Link DVI-I and a Maximum Display Resolution of 1600x1200