Kết xuất bằng Bộ Xử Lý Đồ Họa (GPU Rendering)

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, oneAPI, or Metal. Next, you must configure each scene to use GPU rendering in Properties ‣ Render ‣ Device.

Những Kỹ Thuật Kết Xuất (Rendering Technologies)

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

Ghi chú

Ngôn Ngữ Tô Bóng Mở (Open Shading Language) and path guiding are not supported when rendering on the GPU.

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 AMD graphics card with the Vega architecture or newer. Both discrete GPUs and APUs are supported.

GPU Hỗ Trợ gồm có:

  • Radeon VII

  • Radeon RX Vega Series

  • Radeon RX 5000 Series

  • Radeon RX 6000 Series

  • Radeon RX 7000 Series

  • Radeon Pro WX 9100

  • Radeon Pro W6000 Series

Phiên bản trình điều vận tối thiểu:

  • Windows: Radeon Software 21.12.1 or Radeon PRO Software 21.Q4

  • Linux: Radeon Software 22.10 or ROCm 5.3

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

Ghi chú

The Clip extension mode in the Nút Chất Liệu Hình Ảnh (Image Texture Node) is not supported.

oneAPI -- Intel

oneAPI is a computation library that is supported on Windows and Linux and requires a Intel® Arc™ graphics card with the Xe HPG architecture.

GPU Hỗ Trợ gồm có:

  • Intel® Arc™ A-Series

Phiên bản trình điều vận tối thiểu:

  • Windows: Intel Graphics Driver 30.0.101.3430

  • Linux: OpenCL runtime 22.10.23904

Please refer to Intel's website for more information about Intel graphics cards and their architectures.

Metal -- Apple (macOS)

Metal is supported on Apple computers with Apple Silicon, AMD and Intel graphics cards. macOS 13.0 or newer is required to support all features and graphics cards.

Apple Silicon and AMD graphics cards also work on macOS 12.3 and newer, however without support for MNEE caustics.

Những Câu Hỏi Thường Gặp (Frequently Asked Questions)

Tại sao Blender không phản hồi trong quá trình kết xuất? (Why is Blender unresponsive during rendering?)

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.

If possible, it is best to install more than one GPU, using one for display and the other(s) for rendering.

Tại sao một cảnh kết xuất được trên CPU song không kết xuất được trên GPU? (Why does a scene that renders on the CPU not render on the GPU?)

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.

Có thể sử dụng nhiều GPU cùng một lúc để kết xuất không? (Can multiple GPUs be used for rendering?)

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

Nhiều GPU có làm tăng lượng bộ nhớ khả dụng không? (Would multiple GPUs increase available memory?)

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.

Cái gì kết xuất nhanh hơn? (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.

Thông Điệp Báo Lỗi (Error Messages)

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

Phiên bản GNU chưa hỗ trợ (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:

Sử Dụng một Bộ Biên Dịch Khác (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

(Thay Thế tên hoặc đường dẫn của trình biên dịch GCC tương thích).

Xóa các kiểm tra về tính tương thích (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.

Lỗi CUDA: Biên dịch hạt nhân không thành công (CUDA Error: Kernel compilation failed)

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.

In this case you can:

  1. Check if the latest Blender version (official or experimental builds) supports your graphics card.

  2. If you build Blender yourself, try to download and install a newer CUDA developer toolkit.

Normally users do not need to install the CUDA toolkit as Blender comes with precompiled kernels.

Lỗi: Bộ nhớ cạn kiệt (Error: Out of memory)

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

Ghi chú

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.

Trình điều vận Nvidia OpenGL mất kết nối với trình điều vận màn hình (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.

Lỗi CUDA: Lỗi không xác định được đã xảy ra trong cuCtxSynchronize[] (CUDA error: Unknown error in cuCtxSynchronize[])

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