onnxruntime-openvino 1.23.0

ONNX Runtime is a runtime accelerator for Machine Learning models

OpenVINO™ Execution Provider for ONNX Runtime is a product designed for ONNX Runtime developers who want to get started with OpenVINO™ in their inferencing applications. This product delivers OpenVINO™ inline optimizations which enhance inferencing performance with minimal code modifications.

OpenVINO™ Execution Provider for ONNX Runtime accelerates inference across many AI models on a variety of Intel® hardware such as:

• Intel® CPUs

• Intel® integrated GPUs

• Intel® discrete GPUs

• Intel® integrated NPUs

Installation

Requirements

• Ubuntu 18.04, 20.04 or Windows 10 - 64 bit

• Python 3.10, 3.11, 3.12 and 3.13 for Windows and Linux

This package supports:

• Intel® CPUs

• Intel® integrated GPUs

• Intel® discrete GPUs

• Intel® integrated NPUs

pip3 install onnxruntime-openvino

Please install OpenVINO™ PyPi Package separately for Windows. For installation instructions on Windows please refer to OpenVINO™ Execution Provider for ONNX Runtime for Windows.

OpenVINO™ Execution Provider for ONNX Runtime Linux Wheels comes with pre-built libraries of OpenVINO™ version 2025.1.0 eliminating the need to install OpenVINO™ separately.

For more details on build and installation please refer to Build.

Usage

By default, Intel® CPU is used to run inference. However, you can change the default option to either Intel® integrated GPU, discrete GPU, integrated NPU. Invoke the provider config device type argument to change the hardware on which inferencing is done.

For more API calls and environment variables, see Usage.

Samples

To see what you can do with OpenVINO™ Execution Provider for ONNX Runtime, explore the demos located in the Examples.

License

OpenVINO™ Execution Provider for ONNX Runtime is licensed under MIT. By contributing to the project, you agree to the license and copyright terms therein and release your contribution under these terms.

Support

Please submit your questions, feature requests and bug reports via GitHub Issues.

How to Contribute

We welcome community contributions to OpenVINO™ Execution Provider for ONNX Runtime. If you have an idea for improvement:

• Share your proposal via GitHub Issues.

• Submit a Pull Request.