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Windows Server 2008 R2 SP1, Windows 7, 8, 8.1, Windows Server 2012, Windows 10, Windows Server 2016, Windows 11.
2 GHz Intel® Core2 processor, AMD Athlon 64 or better
1GB 1 GB RAM minimum. 16 GB of RAM memory is highly recommended
1.7 2 GB available hard disk space for installation
Accelerated OpenGL drivers
3 button mouse recommended
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MacOS 10.11 (El Capitan), 10.12 (Sierra), 10.13 (High Sierra), 10.14 (Mojave), 10.15 (Catalina) and , 11 (Big Sur) and , 12 (Monterey), 13 (Ventura) and 14 (Sonoma).
Currently, Maxwell can only work on M1 processors Intel-based processors; in the case of Apple Silicon processors (M1, M2,…), it will work only through Rosetta (not optimized for M1 the Apple Silicon processors yet, but it works should work normally). If you are running Maxwell from a plugin, you should run the host application in Intel mode using Rosetta (right-click on the app > Get Info > Run using Rosetta).
1 GB RAM minimum. 16 GB of RAM memory is highly recommended
1.7 2 GB available hard disk space for installation
3 button mouse recommended
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Graphics cards that support CUDA platform (Nvidia), running on Windows. No AMD or Intel will work, sorry. This means the GPU engine is not supported for Mac, as they don’t use Nvidia cards.
The drivers should be up to date.
Maxwell, Pascal, Volta, Turing and Ampere architectures are supported (for reference you can check this table); it could work on Kepler architecture but it could be unstable and the experience won't be good. Currently, for the graphics cards using the Ada Lovelace architecture to work, you have to download this pack of files:
. Then unzip it and paste the files included into this folder of the Maxwell installation folder (you need administrative rights to copy them there): C:\Program Files\Next Limit\Maxwell Render 5\extras-x64-v140View file name Ada-Lovelace Files.zip
Denoiser
Denoiser is capable of running on CPU or and GPU, with Nvidia, AMD and Intel graphics cards; it works with CUDA (Nvidia) and also can work using OpenCL either in GPU (Nvidia, AMD or Intel) or CPU.
When using GPU, we recommend having a graphics card with at least 2.5GB. This number is actually dependent on frame size, 2.5GB is for 2k pixels square imagery.
When using Nvidia CUDA, the drivers should support at least CUDA 7.0
When using AMD, the Catalyst driver should be up to date.
In the case you get an error message when using CPU about OpenCL ICDs, it will probably be solved by installing one of these packages depending on your OS:
Windows: opencl_runtime_18.1_x64_setup.msi
The Denoiser will first try to use CUDA, if it doesn't find a compatible card, it will fallback to OpenCL GPU (usually with AMD and Intel cards). If the image doesn't fit in the graphics card memory, you can then use OpenCL with CPU (which will use RAM memory).
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