hi friends ,
first note that SLI (SCALABLE LINK INTERFACE) is only work with the nvidia graphic card .there are number of things are include such you can actualy get more performance and better cost cut.Basicaly sli more then cards may be same version ,model (e.g. 9600gt ,9800gtx+.gtx 460 etc) or multi card means different kind of card one card is e.g. 9600gt and other one may differ in config.Sli is support upto 4 cards!!!!! known as quard sli and give performane up to 380% .same way 3-way sli, 2-way sli and finally launch multi card sli, which supports sli in phyx or with cuda and also supports for multiple display compability as like ATI EYEINFINITY . you can get more idea from below e.g.
Computing is evolving from "central processing" on the CPU to "co-processing" on the CPU and GPU. To enable this new computing paradigm, NVIDIA invented the CUDA parallel computing architecture that is now shipping in GeForce, ION, Quadro, and Tesla GPUs, representing a significant installed base for application developers.
In the consumer market, nearly every major consumer video application has been, or will soon be, accelerated by CUDA, including products from Elemental Technologies, MotionDSP and LoiLo, Inc.
CUDA has been enthusiastically received in the area of scientific research. For example, CUDA now accelerates AMBER, a molecular dynamics simulation program used by more than 60,000 researchers in academia and pharmaceutical companies worldwide to accelerate new drug discovery.
In the financial market, Numerix and CompatibL announced CUDA support for a new counterparty risk application and achieved an 18X speedup. Numerix is used by nearly 400 financial institutions.
An indicator of CUDA adoption is the ramp of the Tesla GPU for GPU computing. There are now more than 700 GPU clusters installed around the world at Fortune 500 companies ranging from Schlumberger and Chevron in the energy sector to BNP Paribas in banking.
And with the recent launches of Microsoft Windows 7 and Apple Snow Leopard, GPU computing is going mainstream. In these new operating systems, the GPU will not only be the graphics processor, but also a general purpose parallel processor accessible to any application.
MY SLI GAMING RIG PICTURE:
first note that SLI (SCALABLE LINK INTERFACE) is only work with the nvidia graphic card .there are number of things are include such you can actualy get more performance and better cost cut.Basicaly sli more then cards may be same version ,model (e.g. 9600gt ,9800gtx+.gtx 460 etc) or multi card means different kind of card one card is e.g. 9600gt and other one may differ in config.Sli is support upto 4 cards!!!!! known as quard sli and give performane up to 380% .same way 3-way sli, 2-way sli and finally launch multi card sli, which supports sli in phyx or with cuda and also supports for multiple display compability as like ATI EYEINFINITY . you can get more idea from below e.g.
:Now what is PhyX ?:
NVIDIA® SLI™ technology is a revolutionary platform innovation that allows you to intelligently scale graphics performance by combining multiple NVIDIA graphics solutions in an SLI-Certified motherboard. Using proprietary software algorithms and dedicated scalability logic in each NVIDIA graphics processing unit (GPU), NVIDIA SLI technology delivers up to twice the performance (with 2 cards) and 2.8X the performance (with 3 cards) compared to a single graphics solution.
What is cuda Processing?
Computing is evolving from "central processing" on the CPU to "co-processing" on the CPU and GPU. To enable this new computing paradigm, NVIDIA invented the CUDA parallel computing architecture that is now shipping in GeForce, ION, Quadro, and Tesla GPUs, representing a significant installed base for application developers.
In the consumer market, nearly every major consumer video application has been, or will soon be, accelerated by CUDA, including products from Elemental Technologies, MotionDSP and LoiLo, Inc.
CUDA has been enthusiastically received in the area of scientific research. For example, CUDA now accelerates AMBER, a molecular dynamics simulation program used by more than 60,000 researchers in academia and pharmaceutical companies worldwide to accelerate new drug discovery.
In the financial market, Numerix and CompatibL announced CUDA support for a new counterparty risk application and achieved an 18X speedup. Numerix is used by nearly 400 financial institutions.
An indicator of CUDA adoption is the ramp of the Tesla GPU for GPU computing. There are now more than 700 GPU clusters installed around the world at Fortune 500 companies ranging from Schlumberger and Chevron in the energy sector to BNP Paribas in banking.
And with the recent launches of Microsoft Windows 7 and Apple Snow Leopard, GPU computing is going mainstream. In these new operating systems, the GPU will not only be the graphics processor, but also a general purpose parallel processor accessible to any application.
MY SLI GAMING RIG PICTURE:
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