12/12/2023 0 Comments Redshift render![]() Support for Windows and Linux might arrive in a future version of Redshift. As mentioned on that page, AMD GPUs are currently only supported on macOS Big Sur or later. Please read this for more information on how to enable it: įor a list of supported AMD GPUs, please see the bottom of this page. This was first introduced with a Windows 10 update and the latest NVidia drivers sometime in 2020. In other words, the CPU-GPU communication on Linux is, by default, faster than on Windows (with WDDM) across all NVidia GPUs, including GeForce and Quadro/Tesla/Titan GPUs.ĭespite the lack of TCC on GeForce GPUs, you can still get some of the latency benefits of TCC on Windows 10 by enabling “Hardware-accelerated GPU scheduling”. THe Linux operating system does not need it because the Linux display driver doesn’t suffer from latencies typically associated with WDDM. As mentioned above, TCC is only useful for Windows. Only Quadros, Teslas and Titan GPUs can enable TCC. It becomes exclusive to CUDA applications, like Redshift. The drawback of TCC is that, once you enable it, the GPU becomes ‘invisible’ to Windows and 3d apps (such as Maya, Houdini, etc). It bypasses the Windows Display Driver Model (WDDM) and allows the GPU to communicate with the CPU at greater speeds. It is a special driver developed by NVidia for Windows. One important difference between GeForce GPUs and Titan/Quadro/Tesla GPUs is TCC driver availability. With Redshift, it’s possible to mix GeForce and Quadro GPUs on the same computer. The one key benefit Quadros have over GeForces is that they often have more onboard VRAM which might be important for you if you are rendering very large scenes. The Quadros can typically render viewport OpenGL faster compared to the GeForces but that doesn't affect Redshift’s rendering performance. Please note that there are no considerable performance differences between GeForces and Quadros as far as Redshift rendering is concerned. From the professional-grade GPUs, we recommend the last-gen Quadro RTX5000, Quadro RTX6000 GPUs or the next-gen Quadro RTX A6000. Or the current-gen, we recommend the GeForce RTX3060 Ti, RTX3070, GeForce RTX3080 or GeForce RTX3090 GPUs. NVidia (for Windows, Linux or macOS High Sierra)įrom the NVidia line of GPUs, we recommend the last-gen GeForce RTX2070, GeForce RTX2070Ti, GeForce RTX2080 and GeForce RTX2080Ti GPUs. It also supports AMD GPUs on macOS BigSur or later. Redshift currently supports NVidia GPUs on Windows, macOS (up to High Sierra) and Linux. If the CPU will be driving four or more GPUs or batch-rendering multiple frames at once, a higher-performance CPU such as the Intel Core i7 is recommended. ![]() While Redshift doesn't need the latest and greatest CPU, we recommend using at least a mid-range quad-core CPU such as the Intel Core i5. Depending on scene complexity, these processing stages can take a considerable amount of time and, therefore, a lower-end CPU can 'bottleneck' the overall rendering performance. These include extracting mesh data from your 3d app, loading textures from disk and preparing the scene data for use by the GPU. There are, however, certain processing stages that happen during rendering which are dependent on the performance of the CPU, disk or network. Since Redshift is a GPU renderer, it mostly depends on GPU performance.
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