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- Windows Vista, Windows Server 2008 R2 SP1, Windows 7, Windows 8, 8.1, Windows Server 2012 or Windows 10
- 2 GHz Intel® Core2 processor, AMD Athlon 64 or better
- 1GB RAM minimum. 4 16 GB of RAM memory is highly recommended
- 400 MB 1.7 GB available hard disk space for installation
- Accelerated OpenGL drivers
- 3 button mouse recommended
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MacOS
- Mac OSX MacOS 10.911, 10.12, 10.13 and 10.1214
- 1 GB RAM minimum. 4 16 GB of RAM memory is highly recommended
- 400 MB 1.7 GB available hard disk space for installation
- 3 button mouse recommended
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- x86_64 distribution with a 2.6 Kernel and glibc 2.5
- Tested in on Debian GNU/Linux 7 (wheezy), Fedora Core release 6 (Zod), CentOS release 6.5 (Final), Ubuntu precise (12.04.2 LTS)
- 2 GHz Intel® Core®2, AMD Athlon 64 or better
- 1 GB RAM minimum. 4 16 GB of RAM memory is highly recommended
- 400 MB 1.7 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.
- Maxwell and Pascal architectures are supported (for reference you can check this link); it could work on older architectures Kepler architecture but it could be unstable and the experience won't be good.
Denoiser
- Denoiser is capable of running on CPU or 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 graphics card:
- Nvidia: CUDA toolkit
- AMD: AMD toolkit
- Intel: Intel toolkit
- 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).
| Note |
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Maxwell 4 is compiled for 64-bit ONLY. It requires a 64-bit machine , and a 64-bit operating system. Plugins are available only for 64-bit builds of their respective host platforms. |
For a description of the best hardware configuration for your needs, see the System Specifications FAQ page.