enjoy

http://www.vuugo.com/en/eCom/Computers/Video-Cards/Sapphire-Radeon-HD5850-Xtreme-Edition-1GB-128-bit-GDDR5-PCI-E-Video-Card/11162-15-20G-1.aspx

Someone here said you could do so with trixx or whatever (sapphire's overclocking program), though these only use like 150w stock anyway I think

you can still get them for $160 here: http://www.amazon.com/Sapphire-Radeon-PCI-Express-Graphics-100282XTREME/dp/B004W75ATI/ref=pd_sim_e_2

it just doesn't say when they'll ship, but you can still purchase them and they'll ship as soon as they get them in

they are not an old batch except for the gpu chip itself.  the pcbs were actually just made this year after sapphire bought off the remaining lots of evergreen chips to sell off for reduced prices.  they have no voltage control but are stock overclocked @ 800mhz and typically clock to around 900-950mhz on stock volts

also if you are in canada shipping for any number of units is only 5.99 right now

I bet these puppies won't be around long
http://ncix.com/products/index.php?sku=60714&vpn=11162-15-20G&manufacture=SAPPHIRE&promoid=1304

Yeah but it's pretty clear that an nVidia card do as many SP vector calculations as an ATI card when it comes to 3D applications...  The performance we're seeing right now amounts to maybe 1 active thread/CUDA core whereas we should be seeing a much faster speedup.  Is it just because the DP performance of the ATI cards is so much faster?  That's the one area where ATI really outstrips nVidia, but there must be some kind of fix for this.

There's something wrong if we have a card that can perform side by side with a 6950 (GTX 570) in 3D applications of parallel processing/SP calculation but only 1/4 as fast in decoding bitcoin blocks.

Is my question.  Anyone using POCLBM with CUDA-enabled nVidia cards has probably noticed that their cards are only using a fraction of their possible output in terms of heat/electricity.  It's reasonable to think then that all of our transistors are not being used effectively or at all.

Particularly I am pretty sure the OCL implementation in POCLBM very poorly utilizes the GPU in terms of blocks/threads: http://llpanorama.wordpress.com/2008/06/11/threads-and-blocks-and-grids-oh-my/

The PyCUDA documentation is here: http://documen.tician.de/pycuda/index.html#contents

I don't see any reason why the CUDA architecture, using the full parallel processing capabilities of each CUDA core, should be any slower than ATI cards, but hopefully someone here with a better understanding can figure things out and explain them.