I know this question might be more appropriate to be posted on the hardware forum, but I’d like to emphasize “choosing the best CUDA card for CUDA computation purpose” so I post it here.
I’d like to find out the fastest (or powerful) CUDA card on the market, for parallel CUDA programming purpose(i.e., not for video gaming), to be installed in a desktop PC.
I looked into the CUDA zone GPU table
At first I assumed the CUDA card with higher “compute capability” should be more powerful, ex: Geforce GTX 295 (compute capability 1.3) vs Geforce GTX 560 Ti (compute capability 2.1). I know the number means CUDA version compatibility, and I reasonably thought it also represents the powerfulness.
After looking their spec and price, I found out I was probably wrong??
It’s even harder to a cross-family comparison, ex: Quadro vs Geforce, each model has it’s pros and cons by their spec??
Can someone kindly direct me, how do I find the most powerful card?? or putting it in another way, how do I make comparisons with these cards, for parallel CUDA computing purpose??