Nuke Family tech specs.

Nuke®, Hiero and HieroPlayer support all major operating systems and have low hardware system requirements.

Supported operating systems

For full details, see the release notes.

Windows 10 (64-bit only)

macOS Catalina (10.15)* or macOS Big Sur (11.x)*

CentOS 7.4, 7.5, and 7.6 (64-bit only)

**Note: Other operating systems may work, but have not been fully tested

*32-bit QuickTime codecs are no longer supported on macOS Catalina or macOS Big Sur

Minimum hardware requirements

Processorx86-64 processor, such as Intel Core 2 Duo or later

Storage5 GB disk space available for caching and temporary files

RamAt least 8 GB RAM

DisplayAt least 1280 x 1024 pixel resolution and 24-bit color

Video cardGraphics card with at least 512 MB of video memory and driver support for OpenGL 2.0.*

*To enable optional GPU acceleration of Viewer processing, you need OpenGL 2.0 with support for floating point textures and GLSL.

Requirements for GPU Acceleration - Windows and Linux

If you want to enable Nuke to calculate certain nodes using the GPU, there are some additional requirements. See the Release notes for full details of requirements for GPU acceleration.

NVIDIA

An NVIDIA GPU with compute capability 3.0 (Kepler) or above.

Graphics drivers capable of running CUDA 10.1 or above. These are bundled with the regular drivers for your NVIDIA GPU. Driver version 418.39 for Linux or 418.96 for Windows or above is required. We recommend using the latest graphics drivers, where possible.

AMD

The following GPUs with an appropriate driver are supported. See the release notes for details on support available in specific versions of Nuke.

  • AMD Radeon Pro W 6600
  • AMD Radeon Pro W 6800
  • AMD Radeon Pro W 5700
  • AMD Radeon Pro WX 8200
  • AMD Radeon Pro WX 9100
  • AMD Radeon RX 6800 XT

*NOTE: Other AMD GPUs may work, but have not been fully tested.

GPU requirements for the Machine Learning Toolset

Training using the CopyCat node requires an NVIDIA GPU, with compute capability 3.0 (Kepler) or above.

If an appropriate GPU is not available, Inference and other machine learning plug-ins can run on the CPU with significantly degraded performance. 

In order to run the ML plug-ins on Ampere GPUs, the CUDA kernels need to be compiled the first time you use them. This process is only necessary once and should take about half an hour. The compiled kernels are stored in the CUDA cache and require about 2 GB of space. 

Nuke will automatically set the cache size to 2GB in a directory called NukeComputeCache in the default location for NVIDIA caches.

  • Windows: %APPDATA%\NVIDIA\NukeComputeCache
  • MacOS: $HOME/Library/Application Support/NVIDIA/NukeComputeCache
  • Linux: ~/.nv/NukeComputeCache

The location and size can be overridden using the CUDA_CACHE_PATH and CUDA_CACHE_MAXSIZE environment variables respectively.

Requirements for GPU Acceleration - MacOS

See the Release notes for full details of requirements for GPU acceleration

Mac GPUs

Integrated AMD GPUs are supported on the following Intel CPU Macs. Any late 2013 Mac Pro onward (including 2019 Mac Pro), mid-2015 MacBook Pros onward, and late 2017 iMac Pros onward. All supported Mac Pros will include a multi-GPU support option, where applicable. When enabled in the preferences, GPU processing is shared between the available GPUs for extra processing speed. Bitwise equality between GPU and CPU holds in most cases, but for some operations, there are limitations to the accuracy possible with this configuration.

Add-on GPUs

AMD cards in eGPU set-ups for Mac OS 10.13.5 and later. The Sonnet eGFX Breakaway box and BlackMagic eGPU have both also been tested with Nuke.

Tested Workstation hardware

The following system configurations running CentOS 7 and Windows 10 have been tested with Nuke 13.0.

SystemDell Precision 7820 Tower

Processor(s)2 x Intel Xeon Gold 6234 3.2GHz, 3.7GHz Turbo, 8C, 10.4GT/s 3UPI, 24.75M Cache, HT (130W) DDR4-2666

Storage1 TB M.2 PCIE NVMe SSD

RAM96GB (4x16GB) 2666MHz DDR4 RDIMM ECC

GPUNVIDIA Quadro RTX4000 8GB

.

SystemLenovo ThinkStation P620 Workstation

ProcessorAMD Ryzen Threadripper PRO 3975WX 3.5GHz 32core

Storage1 TB M.2 PCIE NVMe SSD

RAM64 GB DDR4 3200MHz RDIMM ECC (4 x 16 GB)

GraphicsNVIDIA Quadro RTX 5000 8GB

.

The following system configuration running macOS Catalina (10.15) has been tested with Nuke 13.1.

SystemApple Mac Pro

Processor3.2GHz 16‑core Intel Xeon W processor, Turbo Boost up to 4.4GHz

Storage1 TB SSD Storage

RAM96GB (6x16GB) of DDR4 ECC memory

GraphicsRadeon Pro Vega II Duo with 2x32GB of HBM2 memory

Nuke Studio tested hardware

Nuke Studio is currently being tested and we will be providing system specifications soon. If you have any questions about compatible hardware in the meantime, please contact Support below.

 

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