docs/articles_en/get-started/install-openvino/configurations.rst
.. meta:: :description: Learn how to create additional configurations for your devices to work with Intel® Distribution of OpenVINO™ toolkit.
.. _additional configurations:
.. toctree:: :maxdepth: 2 :hidden:
For GPU <configurations/configurations-intel-gpu> For NPU <configurations/configurations-intel-npu> GenAI Dependencies <configurations/genai-dependencies> Troubleshooting Guide for OpenVINO™ Installation & Configuration <configurations/troubleshooting-install-config>
For certain use cases, you may need to install additional software, to benefit from the full potential of OpenVINO™. Check the following list for components used in your workflow:
| GPU drivers
| If you want to run inference on a GPU, make sure your GPU's drivers are properly installed.
See the :doc:guide on GPU configuration <configurations/configurations-intel-gpu>
for details.
| NPU drivers
| Intel's Neural Processing Unit introduced with the Intel® Core™ Ultra generation of CPUs
(formerly known as Meteor Lake), is a low-power solution for offloading neural network computation.
If you want to run inference on an NPU, make sure your NPU's drivers are properly installed.
See the :doc:guide on NPU configuration <configurations/configurations-intel-npu>
for details.
| OpenVINO GenAI Dependencies
| OpenVINO GenAI is a tool based on the OpenVNO Runtime but simplifying the process of
running generative AI models. For information on the dependencies required to use
OpenVINO GenAI, see the
:doc:guide on OpenVINO GenAI Dependencies <configurations/genai-dependencies>.
| Open Computer Vision Library
| OpenCV is used to extend the capabilities of some models, for example enhance some of
OpenVINO samples, when used as a dependency in compilation. To install OpenCV for OpenVINO, see the
instructions on GtHub <https://github.com/opencv/opencv/wiki/BuildOpenCV4OpenVINO>__.