دانلود The Foundry Nuke Studio 13.2v5 x64 نرم افزار ساخت جلوه های ویژه سینمایی

Supported operating systems: Windows 10 (64-bit only)
Note: Other operating systems may work, but have not been fully tested

Minimum hardware requirements
- Processor: x86-64 processor, such as Intel Core 2 Duo or later
- Storage : 5 GB disk space available for caching and temporary files
- Ram : At least 8 GB RAM
- Display : At least 1280 x 1024 pixel resolution and 24-bit color
- Video card : Graphics 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 WX 7100
- 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.
To enable this you must set a global environment variable CUDA_CACHE_MAXSIZE to a value between 2147483648 (2 GB) and 4294967296 (4 GB).

NOTE: It is important to set this environment variable globally, otherwise running Nuke in a terminal where it is not set may invalidate the cache.

Tested Workstation hardware
The following system configurations running CentOS 7 and Windows 10 have been tested with Nuke 13.0.
System: Dell 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
Storage: 1 TB M.2 PCIE NVMe SSD
RAM: 96GB (4x16GB) 2666MHz DDR4 RDIMM ECC
GPU: NVIDIA Quadro RTX4000 8GB

System
Lenovo ThinkStation P620 Workstation
Processor: AMD Ryzen Threadripper PRO 3975WX 3.5GHz 32core
- Storage: 1 TB M.2 PCIE NVMe SSD
- RAM: 64 GB DDR4 3200MHz RDIMM ECC (4 x 16 GB)
- Graphics: NVIDIA Quadro RTX 5000 8GB

The following system configuration running macOS Catalina (10.15) has been tested with Nuke 13.0.

System Apple Mac Pro
Processor: 3.2GHz 16‑core Intel Xeon W processor, Turbo Boost up to 4.4GHz
- Storage : 1 TB SSD Storage
- RAM: 96GB (6x16GB) of DDR4 ECC memory
- Graphics : Radeon Pro Vega II Duo with 2x32GB of HBM2 memory