http://www.evga.com/forums/tm.asp?m=100973314&mpage=1&key=&#100973314

Fermi’s folding ability…

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Some additional explanations:

I was forced to use usb monitor as GPUs haven’t any video output (this engineering samples of Fermi are Tesla like, but they have 1.5GB of memory each like GT300 will).

Because of the new MIMD architecture (they have 32 clusters of 16 shaders) i was not able to load them at 100% in any other way but to launch 1 F@H client per cluster and per card. Every client is GPU3 core Beta (Open MM library). I supose it is much more efficient then previous GPU2. In addition they need very little memory to run. Having 16GB of DDR3 and using Windows 7 Enterprise I’ve managed to run 200 instances of F@H GPU and 4 CPU (i7 processor HT off). The 7th card is not fully loaded. This could also be an issue with EVGA X58 mobo.

I use together two Silverstone Strider PSU’s 1500W each that is probably too much but

now I experiment with overclocking (cards are factory unlocked). Max power consumption

I’ve noticed was 2400W.

The whole system is cooled by my own construction of liquid CO2 which is heavy an inconvenient and I have to supply a new cylinder every 5 days.

That’s It. I wish everybody to improve your folding speed using GT300 soon!

Just keep folding…

」

也就是說，Fermi在folding上大概有GT200的四倍快，大過sp與記憶體頻寬增加的幅度。因為GPU3 core beta目前沒有針對Fermi做過修改，所以應該是得益於新的cache subsystem？

遺憾的是這和繪圖部份性能沒什麼關係….XDa

補充：

想想上面忘記一件事情，因為FAH實際上是用倍精度在跑，所以GT200和Fermi的合理差距是8倍。(GT200：1TFLOPS/8 = 125GFLOPS、Fermi：2TFLOPS/2=1TFLOPS)

如果實際上只跑4倍的話，那代表瓶頸可能卡在別的地方。