Install OpenVINO™ Runtime on Linux From YUM Repository#
Note
Note that the YUM distribution:
offers both C/C++ and Python APIs
does not offer support for NPU inference
is dedicated to Linux users only
additionally includes code samples
Note
OpenVINO RPM packages are compatible with and can be run on the following operating systems:
RHEL 8.2 and higher
Amazon Linux 2022 and 2023
Rocky Linux 8.7, 8.8 and 9.2-9.3
Alma Linux 8.7, 8.8 and 9.2-9.4
Oracle Linux 8.7, 8.8 and 9.2-9.4
Fedora 29 and higher up to 41
OpenEuler 20.03, 22.03, 23.03 and 24.03
Anolis OS 8.6 and 8.8
CentOS Stream 8 and 9
Install OpenVINO Runtime#
Step 1: Set Up the Repository#
Create a YUM repository file (
openvino-2024.repo
) in the/tmp
directory as a normal user:tee > /tmp/openvino-2024.repo << EOF [OpenVINO] name=Intel(R) Distribution of OpenVINO 2024 baseurl=https://yum.repos.intel.com/openvino/2024 enabled=1 gpgcheck=1 repo_gpgcheck=1 gpgkey=https://yum.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB EOF
Move the new
openvino-2024.repo
file to the YUM configuration directory, i.e./etc/yum.repos.d
:sudo mv /tmp/openvino-2024.repo /etc/yum.repos.d
Verify that the new repository is set up properly.
yum repolist | grep -i openvino
You will see the available list of packages.
To list available OpenVINO packages, use the following command:
yum list 'openvino*'
Step 2: Install OpenVINO Runtime Using the YUM Package Manager#
Install OpenVINO Runtime#
Run the following command:
sudo yum install openvino
Run the following command:
sudo yum install openvino-<VERSION>.<UPDATE>.<PATCH>
For example:
sudo yum install openvino-2024.4.0
Check for Installed Packages and Version#
Run the following command:
yum list installed 'openvino*'
Congratulations! You’ve just Installed OpenVINO! For some use cases you may still need to install additional components. Check the list of additional configurations to see if your case needs any of them.
With the YUM distribution, you can build OpenVINO sample files, as explained in the
guide for OpenVINO sample applications.
For C++ and C, just run the build_samples.sh
script:
/usr/share/openvino/samples/cpp/build_samples.sh
/usr/share/openvino/samples/c/build_samples.sh
Uninstalling OpenVINO Runtime#
To uninstall OpenVINO Runtime via YUM, run the following command based on your needs:
sudo yum autoremove openvino
sudo yum autoremove openvino-<VERSION>.<UPDATE>.<PATCH>
For example:
sudo yum autoremove openvino-2024.4.0
What’s Next?#
Now that you’ve installed OpenVINO Runtime, you’re ready to run your own machine learning applications! Learn more about how to integrate a model in OpenVINO applications by trying out the following tutorials:
Try the C++ Quick Start Example for step-by-step instructions on building and running a basic image classification C++ application.
Visit the Samples page for other C++ example applications to get you started with OpenVINO, such as:
You can also try the following things:
Learn more about OpenVINO Workflow.
To prepare your models for working with OpenVINO, see Model Preparation.
See pre-trained deep learning models in our Open Model Zoo.
Important
Due to the deprecation of Open Model Zoo, models in the OpenVINO IR format are now published on Hugging Face.
Learn more about Inference with OpenVINO Runtime.
See sample applications in OpenVINO toolkit Samples Overview.
Take a glance at the OpenVINO product home page .