NVIDIA NEW VGA, TESLA C870!!!

[Maziar]

Here :
http://www.nvidia.com/object/tesla_gpu_processor.html

Product Details
Tesla C870 GPU Computing Processor
One GPU (128 thread processors)
Over 500 gigaflops
1.5 GB dedicated memory
Fits in one full-length, dual slot with one open PCI Express x16 slot
Tesla D870 Deskside Supercomputer
Two GPUs (128 thread processors per GPU)
Over 500 gigaflops per GPU
3 GB system memory (1.5 GB dedicated memory per GPU)
Quiet operation (40dB) suitable for office environment
Connects to host via cabling to a low power PCI Express x8 or x16 adapter card
Optional rack mount kit
Tesla S870 GPU Computing Server
Four GPUs (128 thread processors per GPU)
Over 500 gigaflops per GPU
6 GB of system memory (1.5 GB dedicated memory per GPU)
Standard 19”, 1U rack-mount chassis
Connects to host via cabling to a low power PCI Express x8 or x16 adapter card
Standard configuration: 1 PCI Express connector driving 4 GPUs
Optional configuration: 2 PCI Express connectors driving 2 GPUs each

 

[Phrozt]

Only 76.8 GB/sec?

 

[NaDa]

Look at the max power consumption 170W LOL

 

[turcca]

Over 500 gigaflops per GPU
-- this is ten times of the power of high-end PC processor at the moment.

For less than 1500$


I would really want this option explored.


Oh, and 170W power is pretty close to what 8800 GTX drains... coincident?

 

[spuddyt]

and isn't 500 gigaflops close as well... (i didn't read the article, I have just heard the G92 is 2x power of g80 because it has 1 teraflop argument a lot)

 

[piagio]

Form Factor ATX, 4.38" x 12.28"

LOL, GL

Try to fit it your case !!!