Microsoft.ML.OnnxRuntime.Gpu 1.26.0-dev-20260419-0555-d354e56f4c

Prefix Reserved
This is a prerelease version of Microsoft.ML.OnnxRuntime.Gpu.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package Microsoft.ML.OnnxRuntime.Gpu --version 1.26.0-dev-20260419-0555-d354e56f4c
                    


                    

                
NuGet\Install-Package Microsoft.ML.OnnxRuntime.Gpu -Version 1.26.0-dev-20260419-0555-d354e56f4c
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" Version="1.26.0-dev-20260419-0555-d354e56f4c" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="Microsoft.ML.OnnxRuntime.Gpu" Version="1.26.0-dev-20260419-0555-d354e56f4c" />
                    


                            Directory.Packages.props
                        

                    

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


                            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 --version 1.26.0-dev-20260419-0555-d354e56f4c
                    


                    

                
#r "nuget: Microsoft.ML.OnnxRuntime.Gpu, 1.26.0-dev-20260419-0555-d354e56f4c"
#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@1.26.0-dev-20260419-0555-d354e56f4c
#: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&version=1.26.0-dev-20260419-0555-d354e56f4c&prerelease
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=Microsoft.ML.OnnxRuntime.Gpu&version=1.26.0-dev-20260419-0555-d354e56f4c&prerelease
                    


                            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.

GitHub repositories (14)

Showing the top 14 popular GitHub repositories that depend on Microsoft.ML.OnnxRuntime.Gpu:

Repository Stars
microsoft/semantic-kernel
Integrate cutting-edge LLM technology quickly and easily into your apps
fagenorn/handcrafted-persona-engine
An AI-powered interactive avatar engine using Live2D, LLM, ASR, TTS, and RVC. Ideal for VTubing, streaming, and virtual assistant applications.
codeproject/CodeProject.AI-Server
CodeProject.AI Server is a self contained service that software developers can include in, and distribute with, their applications in order to augment their apps with the power of AI.
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.
microsoft/psi
Platform for Situated Intelligence
FaceONNX/FaceONNX
Face recognition and analytics library based on deep neural networks and ONNX runtime
sstainba/Yolov8.Net
A .net 6 implementation to use Yolov5 and Yolov8 models via the ONNX Runtime
cassiebreviu/StableDiffusion
Inference Stable Diffusion with C# and ONNX Runtime
Particle1904/DatasetHelpers
Dataset Helper program to automatically select, re scale and tag Datasets (composed of image and text) for Machine Learning training.
microsoft/Microsoft-Rocket-Video-Analytics-Platform
A highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.
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.
dje-dev/Ceres
Ceres - an MCTS chess engine for research and recreation
guojin-yan/DeploySharp
Deploying deep learning models on multiple platforms (OpenVINO/ONNX Runtime, etc.)
Kuschel-code/JellyfinUpscalerPlugin

Release Def:
Branch: refs/heads/main
Commit: d354e56f4c464b70aefba1e542c6e7c0f23b9406
Build: https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=1177317