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  • NVIDIA: – – NVIDIA GPUs use CUDA, since it runs faster and has more supported features.The CUDA engine is supported only in 64-bit builds of V-Ray for Kepler-, Maxwell-, Pascal-, Turing- or Volta-based NVIDIA cards.
  • Hybrid Rendering (running CUDA on GPU and CPU): V-Ray GPU rendering can be performed on CPUs and NVIDIA GPUs at the same time. Using the GPU Devices tool you can enable your CPUs as CUDA devices and allow the CUDA code to combine your CPUs and GPUs to utilize all available resources.

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Titan X Pascal, GeForce 980, GeForce 970, GeForce 960, GeForce 750ti, GeForce 750m, GTX 1080, GTX 1070, GeForce 680 GTX, Titan X, Titan Z, Titan Black, Titan V, Tesla k40, Tesla k80, Tesla M60, Quadro P6000, Quadro P5000, Quadro M6000, Quadro M5000, Quadro M4000, Quadro K5200, Quadro K6000, Quadro K4200, Quadro K4000, Quadro K2000, Quadro GV100, Quadro GP100, RTX 2080, RTX 2080 Ti.

If V-Ray GPU cannot find a supported CUDA GPU device on the system, it may will silently fall back to CPU code. To see if the V-Ray render server is really rendering on the GPU, check out its console output.

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You may not want to use all available CUDA devices for rendering, especially if you have multiple GPUs and you want to leave one of them free for working on the user interface or you may want to combine your CPU and GPU together (see Hybrid Rendering section below). To do this, you can use the GPU Devices menu in the Export tab of the V-Ray Renderer node.


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After changing this option, you need to restart the V-Ray render server (if it is running) for the changes to take effect. If the V-Ray render server is running as a Windows service, you may need to stop it from the Services applet in the Control Panel.

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