Microsoft.ML.OnnxRuntime.Gpu.Windows 1.29.0

Prefix Reserved 
dotnet add package Microsoft.ML.OnnxRuntime.Gpu.Windows --version 1.29.0
                    


                    

                
NuGet\Install-Package Microsoft.ML.OnnxRuntime.Gpu.Windows -Version 1.29.0
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="Microsoft.ML.OnnxRuntime.Gpu.Windows" Version="1.29.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="Microsoft.ML.OnnxRuntime.Gpu.Windows" Version="1.29.0" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="Microsoft.ML.OnnxRuntime.Gpu.Windows" />
                    


                            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 Microsoft.ML.OnnxRuntime.Gpu.Windows --version 1.29.0
                    


                    

                
#r "nuget: Microsoft.ML.OnnxRuntime.Gpu.Windows, 1.29.0"
#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 Microsoft.ML.OnnxRuntime.Gpu.Windows@1.29.0
#: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=Microsoft.ML.OnnxRuntime.Gpu.Windows&version=1.29.0
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=Microsoft.ML.OnnxRuntime.Gpu.Windows&version=1.29.0
                    


                            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 (7)

Showing the top 5 NuGet packages that depend on Microsoft.ML.OnnxRuntime.Gpu.Windows:

Package Downloads
Microsoft.ML.OnnxRuntime.Gpu

This package contains native shared library artifacts for all supported platforms of ONNX Runtime.
Aspose.Ocr.Cpp-GPU

Accelerate your C++ Windows applications by offloading resource-demanding OCR tasks to NVIDIA® CUDA® enabled GPU. Extract editable text from scanned documents, photos, screenshots, and more with just a few lines of code. The library can handle various fonts, layouts, and styles, bulk-recognize entire folders and archives of images, process multi-page PDFs and TIFFs. GPU-accelerated Aspose.OCR for C++ is well-fit for global scale content digitization. It supports a vast range of languages across Europe, Middle East, Asia, Africa, and the Americas, including the ability to recognize mixed languages within a document. This versatile library empowers businesses of all sizes, from startups to global corporations. Changelog: - Minor improvements and fixes.
TensorStack.Providers.CUDA

CUDA GPU backend for ONNX tensor computation.
KokoroSharp.GPU.Windows

The Gpu.Windows runtime for KokoroSharp: an inference engine for Kokoro TTS with ONNX runtime, enabling fast and flexible local text-to-speech (fp/quanted) purely via C#. It features segment streaming, voice mixing, linear job scheduling, and optional playback.
YoloSharpDeploGPU

使用onnx推理yolo模型（目前支持目标分类）

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on Microsoft.ML.OnnxRuntime.Gpu.Windows:

Repository Stars
Lyrcaxis/KokoroSharp
Fast local TTS inference engine in C# with ONNX runtime. Multi-speaker, multi-platform and multilingual. Integrate on your .NET projects using a plug-and-play NuGet package, complete with all voices.
Version Downloads Last Updated
1.29.0 2,466 8/12/2026
1.28.0 6,519 7/25/2026
1.28.0-rc.1 132 7/24/2026
1.27.1 3,386 7/11/2026
1.27.0 7,263 6/16/2026
1.26.0 18,524 5/8/2026
1.25.1 8,060 4/27/2026
1.25.0 1,183 4/24/2026
1.25.0-rc.1 228 4/24/2026
1.24.4 21,318 3/20/2026
1.24.3 21,028 3/5/2026
1.24.2 5,320 2/19/2026
1.24.1 5,596 2/5/2026
1.24.0-rc.2 169 1/28/2026
1.23.2 182,015 10/25/2025
1.23.1 6,916 10/8/2025
1.23.0 10,470 9/26/2025
1.23.0-rc.2 288 9/21/2025
1.22.1 61,139 7/1/2025
1.22.0 26,882 5/9/2025
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Release Def:
Branch: refs/heads/rel-1.29.0
Commit: 2e2543fbe9fae542f921d47a72d21d5a4ef0b710
Build: https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=1354532