V-Ray can now execute the CUDA source on the CPU, as though the CPU was another CUDA device. V-Ray GPU can perform hybrid rendering with the CUDA engine utilizing both the CPU and NVIDIA GPUs. Hybrid Rendering with CPUs and the CUDA Engine Turn on the statistics display to check the difference in render speed and to find the optimal settings for your system. Note, however, that this reduces the rendering speed. This breaks up the data passed to the GPU into smaller chunks so that the user interface requests can be processed faster. Paths Per Pixel and/or enable the Low GPU thread priority option in the Rendering section of the Renderer > IPR tab of V-Ray Renderer node. To alleviate this problem, reduce the Max. If you have only one GPU on your system, you may find that the user interface becomes sluggish and unresponsive while IPR is rendering on the GPU. 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. To do this, you can use the GPU Devices menu in the Export tab of the V-Ray Renderernode.Īfter changing this option, you need to restart the V-Ray render server (if it is running) for the changes to take effect.
#Houdini gpu rendering free#
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).
Also note that to prevent performance loss, not all data is shared between devices.įor more information, see the OptiX and NVLink FAQ.Ĭhoosing Which Devices to Use for Rendering
For GeForce RTX cards, a SLI setup is sufficient.
This is recommended for Pascal, Volta and Turning-based Quadro models. Тo use NVLINK on supported hardware, NVLINK devices must be set to TCC mode.
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