Just plugged in using existing power cables (only requires 2 x 6 pin).
Haven't run any benchmarks yet but CUDA-Z screen shots attached.
Haven't run any benchmarks yet but CUDA-Z screen shots attached.
Actually it's a GF110. The c2070 uses a GF100 and has a higher power requirement.
The point of a Tesla card is the increased double precision speed and available memory.
Although, you could get the same performance in Mac OS X just be installing a Geforce GTX 580 then, as they use the exact same driver.
Ah yes, thanks for correcting me
Although, you could get the same performance in Mac OS X just be installing a Geforce GTX 580 then, as they use the exact same driver.
Out of curiosity, what is the point of one under OSX?
Also I thought that one was headless, and you have gaming benchmarks one it.
AFAIK the double precision speed is capped in the firmware/hardware. Are you saying that you can get full speed DP on the GTX 580 under OSX?
In any case, you can't get the same amount of memory, and if your workload is memory bound, that is an issue.
I was running under Windows/Linux. My lab just got 8 new Mac Pros (I bagged one) so giving OSX a spin. All my tools\software run under OSX, just checking out the performance of the card
Nope it has a single DVI out.
Benchmark attached.
Same test, Same settings.....![]()
Woah!I always thought the 680 was 5-10% faster. Which version are you using, factory overclocked, any tweaks?
Dual: EVGA GeForce GTX 680 FTW+ 4GB w/Backplate