Intel.ML.OnnxRuntime.OpenVino 1.24.1

Prefix Reserved 
dotnet add package Intel.ML.OnnxRuntime.OpenVino --version 1.24.1
                    


                    

                
NuGet\Install-Package Intel.ML.OnnxRuntime.OpenVino -Version 1.24.1
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="Intel.ML.OnnxRuntime.OpenVino" Version="1.24.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="Intel.ML.OnnxRuntime.OpenVino" Version="1.24.1" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="Intel.ML.OnnxRuntime.OpenVino" />
                    


                            Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package. 
paket add Intel.ML.OnnxRuntime.OpenVino --version 1.24.1
                    


                    

                
#r "nuget: Intel.ML.OnnxRuntime.OpenVino, 1.24.1"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
#:package Intel.ML.OnnxRuntime.OpenVino@1.24.1
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package. 
#addin nuget:?package=Intel.ML.OnnxRuntime.OpenVino&version=1.24.1
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=Intel.ML.OnnxRuntime.OpenVino&version=1.24.1
                    


                            Install as a Cake Tool

About

ONNX Runtime Logo

ONNX Runtime is a cross-platform machine-learning inferencing accelerator.

ONNX Runtime can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms.

Learn more → here

NuGet Packages

ONNX Runtime Native packages

Microsoft.ML.OnnxRuntime
Microsoft.ML.OnnxRuntime.Gpu
Microsoft.ML.OnnxRuntime.DirectML
Microsoft.ML.OnnxRuntime.QNN
Intel.ML.OnnxRuntime.OpenVino

Other packages

Microsoft.ML.OnnxRuntime.Managed
  • C# language bindings
Microsoft.ML.OnnxRuntime.Extensions
There are no supported framework assets in this package.

Learn more about Target Frameworks and .NET Standard.

NuGet packages (4)

Showing the top 4 NuGet packages that depend on Intel.ML.OnnxRuntime.OpenVino:

Package Downloads
YoloDotNet.ExecutionProvider.OpenVino

YoloDotNet OpenVINO Execution Provider enables optimized inference using Intel® OpenVINO™ on supported Intel CPUs, integrated GPUs, and accelerators. This execution provider integrates ONNX Runtime with Intel OpenVINO to deliver high-performance, low-latency inference on Intel hardware across Windows and Linux. It is ideal for CPU-focused deployments, edge systems, and environments where Intel hardware acceleration is preferred over CUDA-based solutions. The provider is fully modular and designed to work with the execution-provider-agnostic YoloDotNet core library introduced in v4.0. Only one execution provider should be referenced per project.
ElBruno.LocalEmbeddings.Npu.Intel

Intel Core Ultra NPU-accelerated local embedding generation using OpenVINO and ONNX Runtime
Leaf.YOLO

基于ONNX Runtime与OpenVINO执行提供器的YOLO目标检测库
LTW.YoloDotNet.OpenVINO.Execution.Provider

YoloDotNet OpenVINO 执行器可在受支持的 Intel CPU、核显与加速器上，通过 Intel® OpenVINO™ 实现优化推理。 该执行器将 ONNX Runtime 与 Intel OpenVINO 集成，在 Windows 与 Linux 的 Intel 硬件上提供高性能、低延迟推理。适用于以 CPU 为主的部署、边缘设备场景，以及优先采用 Intel 硬件加速而非 CUDA 的环境。 该执行器采用完全模块化设计，可与 YoloDotNet v4.0 引入的执行器解耦核心库协同工作。每个项目仅应引用一个执行器包。

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on Intel.ML.OnnxRuntime.OpenVino:

Repository Stars
NickSwardh/YoloDotNet
YoloDotNet - A C# .NET 8.0 project for Classification, Object Detection, OBB Detection, Segmentation and Pose Estimation in both images and live video streams.
Version Downloads Last Updated
1.24.1 1,788 2/26/2026
1.23.0 3,935 10/15/2025
1.22.0 3,286 5/26/2025 1.22.0 is deprecated because it is no longer maintained.
1.21.0 960 4/9/2025
1.20.0 3,619 12/10/2024

Release Def:
Branch:
Commit:
Build: https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=