Frequently Asked Questions
If you have any questions about Redshift that aren't answered here, we encourage you to visit our forums and ask!
- Why Redshift?
- What are the hardware requirements for Redshift?
- What GPU should I buy for Redshift?
- Does Redshift depend on CPU performance?
- Does Redshift support multiple GPUs on one machine?
- When Redshift uses multiple GPUs, is their memory combined?
- What is "out of core" rendering?
- Which render managers support Redshift?
- Does Redshift support OpenCL?
- What are the software requirements for Redshift?
- How can I determine if my system is compatible with Redshift?
- How much does Redshift cost?
- Do I have to purchase a plugin for each 3D app separately?
- Can I transfer my node-locked license to another computer? How many times can I do that and how long does it take?
Redshift is not only the world's fastest renderer but also offers the most features and flexibility among all GPU renderers. The majority of our customers are professionals and ex-users of high-end CPU rendering solutions. These users need the highest possible rendering performance as well as the same-or-better feature set, stability, visual quality, flexibility, level of integration and customer support as their previous CPU rendering solutions. We believe that Redshift, satisfies all these goals. But don't take our word for it: ask any of our (many) satisfied customers!
What are the hardware requirements for Redshift?
Redshift requires an NVIDIA GPU with CUDA compute capability 2.0 or higher and 1GB VRAM or more.
An NVIDIA GPU with CUDA compute capability of 3.5 or higher and 3GB VRAM or more is recommended.
To learn more about the compute capabilities of specific NVIDIA cards, visit https://developer.nvidia.com/cuda-gpus.
The previous-generation Maxwell based GeForce GPUs such as the NVIDIA GeForce GTX750Ti, GTX970, GTX980, GTX980Ti, TITAN X and Quadro M6000 work great with Redshift! Please be aware that, due to a technical issue with GTX970 GPUs, Redshift cannot address its full 4GB of memory and is limited to approximately 3.5GB.
The latest Pascal based GeForce GPUs such as the NVIDIA GeForce GTX1070, GTX1080, TITAN X (Pascal) and Quadro P6000 are also supported and running great with Redshift!
What GPU should I buy for Redshift?
At the time of writing (Dec 2016), the best price/performance ratio is offered by the NVIDIA GTX 1070 8GB and NVIDIA GTX 1080 8GB GPUs. On the higher-end, the NVIDIA TITAN X (Pascal) offers excellent performance and 12GB of VRAM. On the top-end, the NVIDIA Quadro P6000 offers the highest possible performance and 24GB of VRAM. GPUs featuring 12GB of VRAM or more are best suited for users who render high-poly scenes (200 million unique primitives or more).
Does Redshift depend on CPU performance?
Since Redshift is a GPU renderer, it mostly depends on GPU performance. There are, however, certain processing stages that happen during rendering which are dependent on the performance of the CPU, disk or network. These include extracting mesh data from Softimage/Maya/3dsMax, loading textures from disk and preparing the scene data for use by the GPU. 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.
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.
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.
Does Redshift support multiple GPUs on one machine?
Yes! Redshift can be configured to use all compatible GPUs on your machine (the default) or any subset of those GPUs. You can even mix and match GPUs of different generations and memory configurations (e.g. 1 GTX TITAN + 1 GTX 1070). Redshift supports a maximum of 8 GPUs per session.
When Redshift uses multiple GPUs, is their memory combined?
Unfortunately, no. Say you have an 8GB GPU and a 12GB GPU installed on your computer. The total available memory will not be 20GB, i.e. the 8GB GPU will not be able to use the 12GB GPU's memory. This is a limitation of current GPU technology and not related to Redshift in particular. We, therefore, recommend users combine videocards that are fairly "equal" in terms of memory capacity.
Having said that, Redshift supports "out of core" rendering which helps with the memory usage of videocards that don't have enough VRAM (see below). This means that, in contrast with other GPU renderers, the largest possible scene you'll be able to render in the above scenario won't be limited by the system's weakest GPU.
What is "out of core" rendering?
Redshift has the capability of "out of core" rendering which means that if a GPU runs out of memory (because of too many polygons or textures in the scene), it will use the system's memory instead. In some situations this can come at a performance cost so we typically recommend using GPUs with as much VRAM as you can afford in order to minimize the performance impact. Certain types of data (like textures) actually work very well with out-of-core rendering. This means that even if your scene uses tens of 4K or 8K textures (i.e. several GB worth of data), you can still expect great rendering performance!
Which render managers support Redshift?
Deadline, Qube!, Royal Render and RenderPal all have native Redshift support. Apart from the default Redshift behavior which is to use all GPUs to render a single frame, some of these render managers also offer the capability of rendering multiple frames at once (on the same computer), with each frame using a different combination of GPUs.
Does Redshift support OpenCL?
No, Redshift currently only supports CUDA-compatible cards with compute capability 2.0 or higher.
OpenCL support is planned for a future release.
What are the software requirements for Redshift?
Redshift is compatible with 64-bit versions Windows XP, Vista, 7, 8 and 10.
Redshift is compatible with 64-bit versions of Linux (with glibc 2.12 or higher)
Redshift integrates directly with 64-bit versions of Autodesk Softimage (2011 and higher), Autodesk Maya (2012 and higher) and Autodesk 3ds Max (2013 and higher)
Redshift also integrates with SideFX Houdini R14.0, R15.0 and R15.5
A Maxon Cinema4D plugin is currently in alpha
Support for Mac OSX is planned for a future release.
How can I determine if my system is compatible with Redshift?
If you're running Autodesk Maya, Softimage or 3dsMax on Windows or Autodesk Maya on Linux and have a reasonably current NVIDIA GPU, chances are Redshift will work on your system. We encourage prospective users to register and download the free trial of Redshift to ensure system compatibility and get a feel for the features and performance of Redshift prior to making a purchase.
How much does Redshift cost?
Pricing details are available in this page
Do I have to purchase a plugin for each 3D app separately?
No! A Redshift license gives you access to all available plugins, free of charge!
Can I transfer my node-locked license to another computer? How many times can I do that and how long does it take?
Using the Redshift Licensing Tool, you can deactivate your Redshift license on a computer and activate it on another. The license deactivation/reactivation is instant but requires an internet connection. Once the license is activated, no internet connection is needed. You may deactivate/reactivate your Redshift license as many times as you want! Deactivating/reactivating the license allows users to share their Redshift licenses between their work and home computers.