NVIDIA Announce TESLA (over 500GFlops power!!!!)

[NMILIOTI]

Nvidia announces three products based on gpu.
Those products actually are not graphics cards but processors.

NVIDIA Tesla C870 (Tesla GPU Computing Processor)
The Tesla C870 GPU computing processor transforms a standard system into a personal supercomputer with over 500 gigaflops of peak floating point performance.

Seel the site and get more details:

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

NVIDIA Tesla D870 Tesla Deskside Supercomputer
The Tesla D870 deskside supercomputer connects easily to a certified PCI Express workstation creating an advanced HPC solution powered by two 128-processor computing core GPUs.

http://www.nvidia.com/object/tesla_deskside.html

NVIDIA Tesla S870 Tesla GPU Computing Server
The Tesla S870 GPU computing server is a slim 1U form factor to fit into an enterprise server cluster environment. In addition, it easily scales to solve the most complex, data-intensive HPC problems.

http://www.nvidia.com/object/tesla_gpu_server.html

My Comments:
Actually i like the first product. It only costs 1500 euro. And give you a lot of power. I was registered user in CUDA project of NVIDIA. They give you an API in C language (very simple). And in your applications you have to forward all the methematic calculations in the GPU instead of CPU.
With 128 processors it give you 500 gigaflops.

Imagine the render times. I believe that soon we will see all render engines (VRAY, MENTALRAY, FINALRENDER, SCANLINE) to support this new technology.

If you want to learn more about CUDA Programming visit nvidia's forum:

http://forums.nvidia.com/index.php?showforum=62

[NMILIOTI]

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

[deimos]

Thanx for the news

[BeowulfMX]

If this someday get to the mainstream market (the average user) it's going to change the way that we know computing.

The only problem for the developers is the multi core programming style which its needed for this kind of hardware

ie. the playstation3 it's a multi core machine, and, to this day, there is no game capable of using efficiently the hardware