Визуализация на GPU

GPU rendering makes it possible to use your graphics card for rendering, instead of the CPU. This can speed up rendering because modern GPUs are designed to do quite a lot of number crunching. On the other hand, they also have some limitations in rendering complex scenes, due to more limited memory, and issues with interactivity when using the same graphics card for display and rendering.

To enable GPU rendering, go into the Preferences ‣ System ‣ Cycles Render Devices, and select either CUDA, OptiX, HIP, or Metal. Next, you must configure each scene to use GPU rendering in Properties ‣ Render ‣ Device.

Rendering Technologies

Blender supports different technologies to render on the GPU depending on the particular GPU manufacturer and operating system.

Примечание

With all GPU rendering technologies, Open Shading Language is not supported.

CUDA – NVIDIA

CUDA is supported on Windows and Linux and requires a Nvidia graphics cards with compute capability 3.0 and higher. To make sure your GPU is supported, see the list of Nvidia graphics cards with the compute capabilities and supported graphics cards.

OptiX – NVIDIA

OptiX is supported on Windows and Linux and requires a Nvidia graphics cards with compute capability 5.0 and higher and a driver version of at least 470. To make sure your GPU is supported, see the list of Nvidia graphics cards OptiX works best on RTX graphics cards with hardware ray tracing support (e.g. Turing and above).

HIP – AMD

HIP is supported on Windows and Linux and requires a discrete AMD graphics card with the RDNA architecture or newer and AMD Radeon Software 21.12.1 or AMD Radeon PRO Software 21.Q4 GPU drivers and newer on Windows or the 22.10 / ROCm 5.1 driver for Linux.

Support GPUs include:

AMD Radeon RX 5000 Series
AMD Radeon RX 6000 Series
AMD Radeon Pro W6000 Series

Please refer to AMD’s website for more information about AMD graphics cards and their architectures.

Примечание

The Clip extension mode in the Узел Image Texture (изображение) is not supported.

Metal – Apple (macOS)

Metal is supported on Apple computers with Apple Silicon or AMD graphics cards. macOS 12.2 is required to use Metal with Apple Silicon while macOS 12.3 is required to use Metal with AMD graphics cards.

Примечание

MNEE caustics are not supported in Metal.

Часто задаваемые вопросы

Почему Blender перестаёт отвечать во время визуализации?

While a graphics card is rendering, it cannot redraw the user interface, which makes Blender unresponsive. We attempt to avoid this problem by giving back control over to the GPU as often as possible, but a completely smooth interaction cannot be guaranteed, especially on heavy scenes. This is a limitation of graphics cards for which no true solution exists, though we might be able to improve this somewhat in the future.

Если у вас есть возможность, лучше установить более одного GPU и использовать один из них для отображения, а остальные задействовать для визуализации.

Почему сцена, которая визуализируется на центральном процессоре, не визуализируется на видеокарте?

There may be multiple causes, but the most common one is that there is not enough memory on your graphics card. Typically, the GPU can only use the amount of memory that is on the GPU (see Would multiple GPUs increase available memory? for more information). This is usually much smaller than the amount of system memory the CPU can access. With CUDA, OptiX, HIP and Metal devices, if the GPU memory is full Blender will automatically try to use system memory. This has a performance impact, but will usually still result in a faster render than using CPU rendering.

Можно ли для визуализации использовать несколько видеокарт?

Yes, go to Preferences ‣ System ‣ Compute Device Panel, and configure it as you desire.

Могут ли несколько видеокарт увеличить доступную память?

Typically, no, each GPU can only access its own memory, however, some GPUs can share their memory. This is can be enabled with Distributed Memory Across Devices.

What renders faster?

This varies depending on the hardware used. Different technologies also have different compute times depending on the scene tested. For the most up to date information on the performance of different devices, browse the Blender Open Data resource.

Сообщения об ошибках

In case of problems, be sure to install the official graphics drivers from the GPU manufacturers website, or through the package manager on Linux.

Unsupported GNU version

On Linux, depending on your GCC version you might get this error. See the Nvidia CUDA Installation Guide for Linux for a list of supported GCC versions. There are two possible solutions to this error:

Use an alternate compiler

If you have an older GCC installed that is compatible with the installed CUDA toolkit version, then you can use it instead of the default compiler. This is done by setting the CYCLES_CUDA_EXTRA_CFLAGS environment variable when starting Blender.

Launch Blender from the command line as follows:

CYCLES_CUDA_EXTRA_CFLAGS="-ccbin gcc-x.x" blender

(Substitute the name or path of the compatible GCC compiler).

Remove compatibility checks

If the above is unsuccessful, delete the following line in /usr/local/cuda/include/host_config.h:

#error -- unsupported GNU version! gcc x.x and up are not supported!

This will allow Cycles to successfully compile the CUDA rendering kernel the first time it attempts to use your GPU for rendering. Once the kernel is built successfully, you can launch Blender as you normally would and the CUDA kernel will still be used for rendering.

CUDA Error: Kernel compilation failed (Ошибка CUDA: Сбой компиляции ядра)

This error may happen if you have a new Nvidia graphics card that is not yet supported by the Blender version and CUDA toolkit you have installed. In this case Blender may try to dynamically build a kernel for your graphics card and fail.

В таком случае вы можете:

Check if the latest Blender version (official or experimental builds) supports your graphics card.
Если вы сами собирали Blender, попробуйте скачать и установить новейший набор инструментов для разработчика CUDA.

Обычным пользователям не требуется устанавливать набор инструментов CUDA, поскольку Blender уже поставляется со скомпилированными ядрами.

Error: Out of memory

This usually means there is not enough memory to store the scene for use by the GPU.

Примечание

One way to reduce memory usage is by using smaller resolution textures. For example, 8k, 4k, 2k, and 1k image textures take up respectively 256MB, 64MB, 16MB and 4MB of memory.

The Nvidia OpenGL driver lost connection with the display driver

If a GPU is used for both display and rendering, Windows has a limit on the time the GPU can do render computations. If you have a particularly heavy scene, Cycles can take up too much GPU time. Reducing Tile Size in the Performance panel may alleviate the issue, but the only real solution is to use separate graphics cards for display and rendering.

Another solution can be to increase the time-out, although this will make the user interface less responsive when rendering heavy scenes. Learn More Here.

CUDA error: Unknown error in cuCtxSynchronize() (Ошибка CUDA: Неизвестная ошибка в cuCtxSynchronize())

An unknown error can have many causes, but one possibility is that it is a time-out. See the above answer for solutions.