Microsoft.ML.OnnxRuntime.Gpu
                               
                            
                                1.23.0-dev-20250801-0620-e57dc2a2e5
                            
                        
                            
                                
                                
                                    Prefix Reserved
                                
                            
                    See the version list below for details.
dotnet add package Microsoft.ML.OnnxRuntime.Gpu --version 1.23.0-dev-20250801-0620-e57dc2a2e5
NuGet\Install-Package Microsoft.ML.OnnxRuntime.Gpu -Version 1.23.0-dev-20250801-0620-e57dc2a2e5
<PackageReference Include="Microsoft.ML.OnnxRuntime.Gpu" Version="1.23.0-dev-20250801-0620-e57dc2a2e5" />
<PackageVersion Include="Microsoft.ML.OnnxRuntime.Gpu" Version="1.23.0-dev-20250801-0620-e57dc2a2e5" />
<PackageReference Include="Microsoft.ML.OnnxRuntime.Gpu" />
paket add Microsoft.ML.OnnxRuntime.Gpu --version 1.23.0-dev-20250801-0620-e57dc2a2e5
#r "nuget: Microsoft.ML.OnnxRuntime.Gpu, 1.23.0-dev-20250801-0620-e57dc2a2e5"
#:package Microsoft.ML.OnnxRuntime.Gpu@1.23.0-dev-20250801-0620-e57dc2a2e5
#addin nuget:?package=Microsoft.ML.OnnxRuntime.Gpu&version=1.23.0-dev-20250801-0620-e57dc2a2e5&prerelease
#tool nuget:?package=Microsoft.ML.OnnxRuntime.Gpu&version=1.23.0-dev-20250801-0620-e57dc2a2e5&prerelease
About

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
- Native libraries for all supported platforms
 - CPU Execution Provider
 - CoreML Execution Provider on macOS/iOS
 - XNNPACK Execution Provider on Android/iOS
 
Microsoft.ML.OnnxRuntime.Gpu
- Windows and Linux
 - TensorRT Execution Provider
 - CUDA Execution Provider
 - CPU Execution Provider
 
Microsoft.ML.OnnxRuntime.DirectML
- Windows
 - DirectML Execution Provider
 - CPU Execution Provider
 
Microsoft.ML.OnnxRuntime.QNN
- 64-bit Windows
 - QNN Execution Provider
 - CPU Execution Provider
 
Intel.ML.OnnxRuntime.OpenVino
- 64-bit Windows
 - OpenVINO Execution Provider
 - CPU Execution Provider
 
Other packages
Microsoft.ML.OnnxRuntime.Managed
- C# language bindings
 
Microsoft.ML.OnnxRuntime.Extensions
- Custom operators for pre/post processing on all supported platforms.
 
Learn more about Target Frameworks and .NET Standard.
- 
                                                    
.NETCoreApp 0.0
- Microsoft.ML.OnnxRuntime.Gpu.Linux (>= 1.23.0-dev-20250801-0620-e57dc2a2e5)
 - Microsoft.ML.OnnxRuntime.Gpu.Windows (>= 1.23.0-dev-20250801-0620-e57dc2a2e5)
 - Microsoft.ML.OnnxRuntime.Managed (>= 1.23.0-dev-20250801-0620-e57dc2a2e5)
 
 - 
                                                    
.NETFramework 0.0
- Microsoft.ML.OnnxRuntime.Gpu.Linux (>= 1.23.0-dev-20250801-0620-e57dc2a2e5)
 - Microsoft.ML.OnnxRuntime.Gpu.Windows (>= 1.23.0-dev-20250801-0620-e57dc2a2e5)
 - Microsoft.ML.OnnxRuntime.Managed (>= 1.23.0-dev-20250801-0620-e57dc2a2e5)
 
 - 
                                                    
.NETStandard 0.0
- Microsoft.ML.OnnxRuntime.Gpu.Linux (>= 1.23.0-dev-20250801-0620-e57dc2a2e5)
 - Microsoft.ML.OnnxRuntime.Gpu.Windows (>= 1.23.0-dev-20250801-0620-e57dc2a2e5)
 - Microsoft.ML.OnnxRuntime.Managed (>= 1.23.0-dev-20250801-0620-e57dc2a2e5)
 
 
GitHub repositories (13)
Showing the top 13 popular GitHub repositories that depend on Microsoft.ML.OnnxRuntime.Gpu:
| Repository | Stars | 
|---|---|
| 
                                                        
                                                            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.
                                                         
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| 
                                                        
                                                            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.
                                                         
                                                     | 
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| 
                                                        
                                                            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.
                                                         
                                                     | 
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| 
                                                        
                                                            microsoft/psi
                                                        
                                                         
                                                            Platform for Situated Intelligence
                                                         
                                                     | 
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| 
                                                        
                                                            dme-compunet/YoloSharp
                                                        
                                                         
                                                            🚀 A high performance real-time object detection solution using YOLO11 ⚡️ powered by ONNX-Runtime
                                                         
                                                     | 
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| 
                                                        
                                                            sstainba/Yolov8.Net
                                                        
                                                         
                                                            A .net 6 implementation to use Yolov5 and Yolov8 models via the ONNX Runtime
                                                         
                                                     | 
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| 
                                                        
                                                            FaceONNX/FaceONNX
                                                        
                                                         
                                                            Face recognition and analytics library based on deep neural networks and ONNX runtime
                                                         
                                                     | 
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| 
                                                        
                                                            cassiebreviu/StableDiffusion
                                                        
                                                         
                                                            Inference Stable Diffusion with C# and ONNX Runtime
                                                         
                                                     | 
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| 
                                                        
                                                            TensorStack-AI/OnnxStack
                                                        
                                                         
                                                            C# Stable Diffusion using ONNX Runtime
                                                         
                                                     | 
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| 
                                                        
                                                            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.
                                                         
                                                     | 
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| 
                                                        
                                                            Particle1904/DatasetHelpers
                                                        
                                                         
                                                            Dataset Helper program to automatically select, re scale and tag Datasets (composed of image and text) for Machine Learning training.
                                                         
                                                     | 
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| 
                                                        
                                                            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.
                                                         
                                                     | 
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| 
                                                        
                                                            dje-dev/Ceres
                                                        
                                                         
                                                            Ceres - an MCTS chess engine for research and recreation
                                                         
                                                     | 
                                                    
Release Def:
	Branch: refs/heads/main
	Commit: e57dc2a2e5fc366a6391598082155859aebdb3e7
	Build: https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=893759