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