[VRay]

vray rt 显卡要求。转自vray官网 [复制链接]

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GPU rendering allows V-Ray RT to perform the raytracing calculations on the GPUs installed in the system, rather than the CPU. Since GPUs are specifically designed for massively parallel calculations, they can speed up the rendering process by an order of magnitude. ,s,VOyr @F  
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To enable GPU rendering, select the OpenCL (single kernel) or CUDA (single kernel) value for the Engine type parameter in the V-Ray RT settings.

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Supported hardware and drivers KGsH3{r  
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V-Ray RT for GPU has two back-ends (or engines). One is based on OpenCL (see the references section below for more info on OpenCL) and the other one - on the nVidia CUDA platform. I(*4N^9++  
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The OpenCL engine should be able to run on any OpenCL-compatible hardware. However, as of the time of this writing (April 28th, 2012), only the nVidia implementation of OpenCL is sufficiently advanced to run it properly. For best results, a Fermi- or Kepler-based card with at least 2 GB of video RAM is recommended. Older cards will work, but performance will be significantly worse. Due to the large amount of RAM needed to compile the OpenCL code, currently it only works in 64-bit builds of V-Ray RT. It may be possible to run the OpenCL engine on software CPU implementations of OpenCL from AMD and Intel, however this has not been thoroughly tested. &K_"5.7-56  
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The CUDA engine is supported only in 64-bit builds of V-Ray RT for Fermi- and Kepler-based nVidia cards. It is recommended to use the CUDA engine on nVidia GPUs. 0P<b
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Rendering on multiple GPUs is supported and by default V-Ray RT for GPU will use all available OpenCL/CUDA devices. See the sections below how to choose devices to run V-Ray RT GPU on. h$Z_r($b  
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V-Ray RT for GPU has been tested on a number of graphics cards including: a+TlZE>8  
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nVidia GeForce 680 GTX; R)AFaP |  
nVidia GeForce 580 GTX; .`OyC'  
nVidia GeForce 590 GTX; {CM%QMM  
nVidia GeForce 570; 'J (4arN  
nVidia GeForce 480 GTX; h\k!X/  
nVidia Tesla C2050; A#gmKS<J/7  
nVidia Quadro 2000M; h2 2-vX  
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支持的硬件和驱动程序 =%~- M  
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的V-Ray RT GPU有两个后端（或发动机）。一种是基于OpenCL的（OpenCL的更多信息请参阅参考资料一节），另一种 - NVIDIA CUDA平台上的。 =,zB|sjn  
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的OpenCL引擎应该能够运行在任何兼容OpenCL的硬件。然而，由于写这篇文章的时候（2012年4月28日），nVidia的实现的OpenCL是足够先进的正常运行。为了获得最佳效果，建议至少2 GB的视频RAM的费米或基于开普勒-卡。较旧的卡工作，但性能将显着恶化。由于大量的RAM需要编译的OpenCL代码，目前它只能在64位版本的V-Ray RT。从AMD和英特尔，但是这并没有经过彻底的测试软件CPU的OpenCL实现，它可能会运行的OpenCL引擎。 R*bx&..<  
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只支持64位版本的V-Ray RT的费米和开普勒的nVidia显卡的CUDA引擎。建议使用在NVIDIA GPU上的CUDA引擎。 _0$>LWO~  
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渲染在多个GPU（图形处理器）的支持，默认情况下将使用所有可用的V-Ray RT GPU的OpenCL / CUDA设备。请参阅下面的部分如何选择设备上运行的V-Ray RT GPU。 RTlC]`IGT  
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已通过测试的V-Ray RT GPU的图形卡，包括一些： k-jFT3b$  
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nVidia的GeForce 680 GTX; y2+f)Xp_.C  
nVidia的GeForce 580 GTX; uT=r*p(v  
nVidia的GeForce 590 GTX; %pjY^tM/  
nVidia的GeForce 570元; Vq0X:<9  
nVidia的GeForce 480 GTX; qnyacI  
NVIDIA®（英伟达™）Tesla C2050; v\bWQs1  
NVIDIA®（英伟达™）Quadro 2000M;

评价的演示版本的V-Ray RT具有以下限制。这些限制是不存在的完整版本。 -%CP@dAk  
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320×240最高分辨率的ActiveShade预览，是否在浮动窗口中，或在视口中; 
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最大15几何场景中的物体（它们的大小没有限制）; .},'~NM]  
的ActiveShade预览将自动关闭后180秒（3分钟）; l0m-$/  
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于 2013-03-14 00:20:25 连续回帖自动追加: ]Sz:|%JP1  
这样看A卡不要想，显存低于2g的不要想，低于1000元显卡的不要想，，， lh7#t#  
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于 2013-03-14 00:20:34 连续回帖自动追加: KC6.Fr{  
这样看A卡不要想，显存低于2g的不要想，低于1000元显卡的不要想，，，

了解下

看来不行了，对RT渲染彻底死心了

  xiexie

谢谢 楼主 ,,uhEoH  
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于 2013-03-14 21:05:45 连续回帖自动追加: qGA|.I9,  
谢谢

死心了 。。。。

啊啊啊啊啊

我的没法用