Nvidia Cuda acceleration

This section explains how to install and configure Cuda for Computer Vision toolkit, Tensor and image toolkit for LabVIEW.

System Requirements

TIGR run actually Cuda 11.8 version. To know if your GPU is compatible with this version, please consult this page.

How to install the Computer Vision toolkit GPU INSTALLER ?

To leverage GPU acceleration and fully utilize your CUDA-compatible hardware in an optimized manner, you need to install CUDA exclusively using SOTA.

1. Launch the SOTA.
2. Within the SOTA interface, locate and click on the CUDA icon in the right-hand menu. This will take you to the CUDA section.
3. SOTA will detect your GPU and check if it is already configured to use graphic’s toolkits.
4. Simply click on the installation icon to proceed with the CUDA installation and optimization.

Technical support

The support is managed via the support community page. You can post all your questions, thoughts or suggestions about Computer Vision toolkit and other Graiphic product.