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Additional Configurations For Hardware
@sphinxdirective
.. 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 <openvino_docs_install_guides_configurations_for_intel_gpu> For NPU <openvino_docs_install_guides_configurations_for_intel_npu> For GNA <openvino_docs_install_guides_configurations_for_intel_gna>
For certain use cases, you may need to install additional software, to use the full potential of OpenVINO™. Check the following list for components for elements 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 <openvino_docs_install_guides_configurations_for_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 <openvino_docs_install_guides_configurations_for_intel_npu>
for details.
| GNA drivers
| If you want to run inference on a GNA (note that it is currently being deprecated and will no longer
be supported beyond 2023.2), make sure your GPU's drivers are properly installed. See the
:doc:guide on GNA configuration <openvino_docs_install_guides_configurations_for_intel_gna>
for details.
| 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>__.
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