nvidia cuda comes with the GPU and not with the mobo afaik.
afaik, galaxy is a good brand and zotac too is good but am not sure how the support is for zotac.
The max price to pay for GTX260 should be 11k as HD4890 is now availble for 12.5k and it is lot better card.
Galaxy GTX260+ is a highly recommended card. It comes with Artic Cooling Accelero Twin Turbo (dual fan cooler) and it performs much better than reference design given by nvidia.
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also, remember that GTX260+ also has another design that comes with a single cooler. Go for the one that has dual cooler design.
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nvidia CUDA Limitations and Requirements
Source: *www.manifold.net/doc/nvidia_cuda.htm
There are several important constraints on CUDA use within Manifold:
· We must have a CUDA-enabled NVIDIA card installed in our system. 9800 series NVIDIA cards at the present writing are the best-known CUDA-enabled cards, but other NVIDIA GPUs are also CUDA-capable (check with the NVIDIA web site and with your graphics card vendor's web site to see if a particular card is CUDA-capable). Hardware evolves so rapidly under the pressure of gaming industry economy-of-scale that almost before this documentation can be published there will be even faster CUDA-capable cards.
· The rest of our PC system must have sufficient speed and power to support the NVIDIA card. For example, memory must be fast enough to handle CUDA bandwidth and power supplies must provide enough power to run the NVIDIA card (or cards) with extra PCI-E power cables. Consult any technology-obsessed, 14 year old gamer for advice on configuring a suitably "hot" system.
· We must have installed NVIDIA's most recent set of drivers for Windows, which may be downloaded from the nvidia.com web site. NVIDIA's latest drivers automatically install software required for CUDA use by CUDA-capable NVIDIA-based cards.
· If we are running a 64-bit Windows system we must have installed NVIDIA's 64-bit, CUDA-enabled drivers for our 64-bit Windows system.
· Writing massively parallel algorithms to implement spatial functions is extremely difficult, even for manifold.net. Therefore, at the present time only a few dozen functions have been implemented within Manifold that can leverage CUDA. Many more are on the way.
· Existing CUDA-enabled functions within Manifold are Surface - Transform dialog operators for surfaces. The Surface - Transform dialog is part of the optional Surface Tools extension for Manifold (and also a built-in part of some Manifold System editions such as Universal Edition and Ultimate Edition). If we do not have the Surface Tools extension we will not have the ability to use this dialog and hence no ability to leverage CUDA. New updates and future Manifold releases will likely add many more usages of CUDA in addition to the Surface - Transform dialog operators.
· Functions executed within CUDA cards are virtually instantaneous compared to speed of execution within the main processor. However, the NVIDIA stream processors execute tasks so rapidly that it is difficult to provide data fast enough from disk and memory to keep the processors occupied. The resulting performance in most "real life" applications therefore tends to be limited not by processor speed but rather by the speed with which data can be fetched from hard disk or other memory. In addition, a good portion of various tasks are not bound by computation but instead involve overhead tasks such as writing out results to disk, re-computing levels and other necessary but mundane tasks that are not accelerated by CUDA processors. The net result is that as a practical matter for many tasks CUDA-enabled processors will visibly increase speeds, almost always by a factor of two to ten and at times by a factor of ten to fifty, but not usually by factors of hundreds for the overall task even if the actual computation of parts of the task goes hundreds of times faster.
· We can get the most out of CUDA if the rest of our machine does not slow down the ability to feed the insatiable power of NVIDIA stream processors. For maximum speed we should use 64-bit Windows on at least a quad core machine with lots of RAM and large, fast disk drives. Before configuring a new 64-bit system, check the NVIDIA web site to make sure that 64-bit drivers are available for the Windows operating system you plan to install. At the present writing, Windows XP x64 has been used for development of x64 support by manifold.net.
but actually where can i get this parts for this prices? cuz at my CIty its fcking costly~ is online buying safe?!
