Blender linux amd gpu

Linux – Other GPU¶

Blender uses of OpenGL for the 3D Viewport and user interface. The graphics card (GPU) and driver have a big impact on Blender’s behavior and performance.

This section lists possible solutions for graphics glitches, problems with Eevee and Cycles, and crashes related to your GPU.

Drivers¶

Upgrading to the latest graphics drivers often solves problems. Newer drivers have bug fixes that help Blender function correctly.

On Linux, graphics drivers are usually installed as a package by your Linux distribution. Installing the latest drivers is typically done by upgrading packages or the distribution as a whole. Some distributions provide multiple packages for multiple drivers versions, giving you the choice to install newer versions.

Laptops¶

Laptops often have two GPUs for power saving purposes. One slower onboard GPU (typically Intel) and one faster dedicated GPU for a better performance (AMD or Nvidia).

For the best performance the dedicated GPU should be used for Blender. Which GPU to use for which application can be configured in your graphics driver settings.

If there is a graphics glitch or crash specific to the onboard GPU, then using the dedicated GPU can help avoid that. Or vice versa, if the dedicated GPU causes issues, then using the onboard graphics can help.

Common Problems¶

Unsupported Graphics Driver Error¶

This means your graphics card and driver do not have the minimum required OpenGL 3.3 version needed by Blender.

Installing the latest driver can help upgrade the OpenGL version, though some graphics cards are simply too old to run the latest Blender. Using Blender 2.79 or earlier is the only option then.

Crash on Startup¶

Try running Blender from the command line , to see if any helpful error messages are printed.

On Windows, graphics drivers can sometimes get corrupted. In this case it can help to uninstall all graphics drivers (there may be multiple from Intel, AMD and Nvidia) and perform a clean installation with drivers from the manufacturer’s website.

Poor Performance¶

Update your graphics drivers (see above).

On laptops, make sure you are using a dedicated GPU (see above).

Try lowering quality settings in Preferences ‣ System ‣ Memory & Limits .

Try undoing settings in your graphics drivers, if you made any changes there.

Render Errors¶

See Eevee and Cycles documentation respectively.

Wrong Selection in 3D Viewport¶

Virtual Machines¶

Running Blender inside a virtual machine is known to have problems when OpenGL drawing calls are forwarded to the host operating system.

To resolve this, configure the system to use PCI passthrough.

Information¶

To find out which graphics card and driver Blender is using, use Help ‣ Save System Info inside Blender. The OpenGL section will have information about your graphics card, vendor and driver version.

© Copyright : This page is licensed under a CC-BY-SA 4.0 Int. License. Last updated on 10/10/2021.

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Linux – AMD¶

Blender uses of OpenGL for the 3D Viewport and user interface. The graphics card (GPU) and driver have a big impact on Blender’s behavior and performance.

This section lists possible solutions for graphics glitches, problems with Eevee and Cycles, and crashes related to your GPU.

Drivers¶

Upgrading to the latest graphics drivers often solves problems. Newer drivers have bug fixes that help Blender function correctly.

On Linux, graphics drivers are usually installed as a package by your Linux distribution. Installing the latest drivers is typically done by upgrading packages or the distribution as a whole. Some distributions provide multiple packages for multiple drivers versions, giving you the choice to install newer versions.

AMD drivers are open source, except for the OpenCL support which is available as part of Pro drivers. Installing packages through your Linux distribution is usually best. AMD also provides graphics drivers for download on their website if you need the latest version.

Laptops¶

Laptops often have two GPUs for power saving purposes. One slower onboard GPU (typically Intel) and one faster dedicated GPU for a better performance (AMD or Nvidia).

For the best performance the dedicated GPU should be used for Blender. Which GPU to use for which application can be configured in your graphics driver settings.

If there is a graphics glitch or crash specific to the onboard GPU, then using the dedicated GPU can help avoid that. Or vice versa, if the dedicated GPU causes issues, then using the onboard graphics can help.

Common Problems¶

Unsupported Graphics Driver Error¶

This means your graphics card and driver do not have the minimum required OpenGL 3.3 version needed by Blender.

Installing the latest driver can help upgrade the OpenGL version, though some graphics cards are simply too old to run the latest Blender. Using Blender 2.79 or earlier is the only option then.

Crash on Startup¶

Try running Blender from the command line , to see if any helpful error messages are printed.

On Windows, graphics drivers can sometimes get corrupted. In this case it can help to uninstall all graphics drivers (there may be multiple from Intel, AMD and Nvidia) and perform a clean installation with drivers from the manufacturer’s website.

Poor Performance¶

Update your graphics drivers (see above).

On laptops, make sure you are using a dedicated GPU (see above).

Try lowering quality settings in Preferences ‣ System ‣ Memory & Limits .

Try undoing settings in your graphics drivers, if you made any changes there.

Render Errors¶

See Eevee and Cycles documentation respectively.

Wrong Selection in 3D Viewport¶

Virtual Machines¶

Running Blender inside a virtual machine is known to have problems when OpenGL drawing calls are forwarded to the host operating system.

To resolve this, configure the system to use PCI passthrough.

Information¶

To find out which graphics card and driver Blender is using, use Help ‣ Save System Info inside Blender. The OpenGL section will have information about your graphics card, vendor and driver version.

© Copyright : This page is licensed under a CC-BY-SA 4.0 Int. License. Last updated on 10/10/2021.

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GPU Rendering¶

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

GPU rendering is only supported on Windows and Linux; macOS is currently not supported.

Supported Hardware¶

Blender supports different technologies to render on the GPU depending on the particular GPU manufacture.

Nvidia¶

CUDA¶

CUDA requires 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.

Open Shading Language

Advanced volume light sampling to reduce noise

OptiX¶

OptiX requires graphics cards with compute capability 5.0 and higher. 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).

Open Shading Language

Advanced volume light sampling to reduce noise

Branched Path Tracing

On Windows and Linux, the latest Pro drivers should be installed from the AMD website.

Open Shading Language

Advanced volume light sampling to reduce noise

Intel¶

Open Shading Language

Advanced volume light sampling to reduce noise

Frequently Asked Questions¶

Why is Blender unresponsive during rendering?В¶

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.

Why does a scene that renders on the CPU not render on the GPU?В¶

There maybe 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 below for more information). This is usually much smaller than the amount of system memory the CPU can access. With CUDA and OptiX 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. This feature does not work for OpenCL rendering.

Can multiple GPUs be used for rendering?В¶

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

Would multiple GPUs increase available memory?В¶

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, Nvidia or AMD, CUDA, OptiX or OpenCL?В¶

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.

Error Messages¶

In case of problems, be sure to install the official graphics drivers from the Nvidia or AMD 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:

(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 :

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¶

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:

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

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.

CUDA Error: Out of memory¶

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

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()В¶

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

© Copyright : This page is licensed under a CC-BY-SA 4.0 Int. License. Last updated on 10/10/2021.

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AMD GPU won’t work with Blender’s «Cycles Render» on Linux

I’ve been working a lot with Blender and it’s «Cycles Render» on Fedora lately. But Blender keeps getting a lot slower while rendering. So I discovered that my Blender is only capable of rendering with my CPU. I tried running Blender from the terminal, so I could see any errors. And if I set «Device» to «GPU Compute» in the rendering settings, I get this output:

My machine’s specifications are:

So it seems like, Blender’s Cycle Render won’t work with my AMD GPU. Any ideas?

1 Answer 1

As far as I’ve seen on the release docs, the Blender cycles engine is not yet fully optimized for all AMD graphics cards, currently they only support AMD cards with GCN architecture 2.0 and above. The dev team focuses on NVIDIA cards mostly (also blender is most optimized for windows).

However, you might as well try to change the settings, first you must make sure you are using OpenCL and not CUDA in your User Preferences, under the System tab, Compute Device(s). Then if your card is not supported, enable the experimental features on the render properties of your workspace, which warn you that will make everything go unstable, this usually enables most AMD GPUs to be selectable as a render device. here on the render properties, you will also be selecting the compute device you desire to use for each scene.

Also, Using an official AMD driver would make rendering faster (also this is a requirement by Blender to use AMD cards) but its not available for fedora as far as I know. I suggest changing your distro to Ubuntu.

EDIT: You MUST use an official AMD driver for the desired card, I have checked the card you have is on the list of supported cards, just that it IS a requirement to have the AMD driver and not opensource. this is the list of supported cards https://en.wikipedia.org/wiki/List_of_AMD_graphics_processing_units, according to the blender documentation. But it must be a driver from this list: https://support.amd.com/en-us/download/linux, according to the blender documentation.

Now if that doesn’t solve the issue then it must be a hardware issue or blender bug, although you could try to run it on windows to discard it being a hardware issue, if you are willing to do a dual boot or usb boot test.

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