GPU configuration

As part of the installation process the software will also detect any GPU present and enable the use of the GPU for graphics acceleration and machine learning data processing if compatible.

The first time we start the 4D Viewer the software will automatically optimize the render settings based on the GPU capabilities:

These settings are optimized so as to balance render quality with interactivity. However, users may prefer to prioritise faster navigation or higher render quality based on their own preferences. These settings can be found in the 4D Viewer pane of the preferences window.

The settings can be reconfigured back to the recommended arivis defaults for your GPU by using the Run Auto-Detection button. Note that laptop systems may not default to using the dedicated GPU. If arivis is installed on a laptop system you should check this article about configuring arivis for laptop GPUs.

Additionally to using the GPU for graphics acceleration, arivis can also use compatible GPUs to accelerate Machine Learning (ML) and Deep Learning (DL) workflows. To use GPU acceleration for ML & DL tasks arivis Pro needs:

• NVIDIA GPUs
• Up to date drivers
• At least 8 GB of video memory (VRAM)

If these conditions are met and the GPU acceleration was installed as part of the installation the software should automatically use the GPU for ML and DL acceleration. We can check if this is the case within the Machine Learning panel of the Preferences window:

As we can see from the screenshot above, this system uses the GPU for Machine Learning. If the GPU is incompatible the checkbox will be disabled and cannot be checked. If so, first check whether the graphics card should be compatible (NVIDIA chipset and 8GB RAM), then check that the drivers are up to date. Please consult with the system administrator or your IT support team to update the drivers as needed.