Microsoft.ML.OnnxRuntime.Gpu 1.23.2

Prefix Reserved 
dotnet add package Microsoft.ML.OnnxRuntime.Gpu --version 1.23.2
                    


                    

                
NuGet\Install-Package Microsoft.ML.OnnxRuntime.Gpu -Version 1.23.2
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="1.23.2" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="Microsoft.ML.OnnxRuntime.Gpu" Version="1.23.2" />
                    


                            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 1.23.2
                    


                    

                
#r "nuget: Microsoft.ML.OnnxRuntime.Gpu, 1.23.2"
#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@1.23.2
#: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=1.23.2
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=Microsoft.ML.OnnxRuntime.Gpu&version=1.23.2
                    


                            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 (35)

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

Package Downloads
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.
Aspose.OCR-GPU

Powerful and developer-friendly OCR API for extracting text from images and creating searchable PDFs. Add optical character recognition to on-premises solutions, web sites, cloud services, and serverless functions with just a few lines of native .NET code. Effortlessly transform scanned pages, photos, screenshots, handwritten memos, and other images into machine-readable text, regardless of the font, layout and styles. Find and compare text on images. Bulk-recognize all images from folders and archives; read multi-page PDF documents and TIFF images. Aspose.OCR is a universal solution for document processing, data extraction, and content digitization on a global scale. Supporting over 130 European, Middle East, Asian, African and American languages, the library allows you to recognize texts in Latin, Cyrillic, Arabic, Chinese, and Hindi scrips, including text in mixed languages. The library can be used virtually everywhere, catering to both small and medium businesses as well as multinational corporations. With Aspose.OCR, optical character recognition becomes a trivial and straightforward task, even for developers new to the technology. You can focus at business task rather than complex maths, neural networks, and other technical intricacies. Powerful image processing and customizable content structure detection algorithms enable text extraction from virtually any image, ranging from high-quality scans to street photos. Aspose.OCR for .NET can work with virtually any file you can get from a scanner or camera, including PDF document and multi-page TIFF images. Recognition results are returned in the most popular file and data exchange formats that can be saved, imported to a database, or analyzed in real time. Changelog: - Updated to the latest version of the Aspose.OCR CPU package with performance improvements. Check for details at https://releases.aspose.com/ocr/net/release-notes/2025/aspose-ocr-for-net-25-10-0-release-notes/ Resources: Product page: https://products.aspose.com/ocr/net/ Advanced OCR models: https://github.com/aspose-ocr/resources Online documentation: https://docs.aspose.com/ocr/net/ Free support forum: https://forum.aspose.com/c/ocr/
Aspose.Ocr.Cpp-Linux-Gpu

Accelerate your C++ Linux applications and services 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.
Microsoft.ML.OnnxRuntimeGenAI.Cuda

ONNX Runtime Generative AI Native Package
FaceONNX.Gpu

Face recognition and analytics library based on deep neural networks and ONNX runtime. Gpu implementation.

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
dme-compunet/YoloSharp
🚀 A high performance real-time object detection solution using YOLO11 ⚡️ powered by ONNX-Runtime
sstainba/Yolov8.Net
A .net 6 implementation to use Yolov5 and Yolov8 models via the ONNX Runtime
FaceONNX/FaceONNX
Face recognition and analytics library based on deep neural networks and ONNX runtime
cassiebreviu/StableDiffusion
Inference Stable Diffusion with C# and ONNX Runtime
TensorStack-AI/OnnxStack
C# Stable Diffusion using ONNX Runtime
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.
Particle1904/DatasetHelpers
Dataset Helper program to automatically select, re scale and tag Datasets (composed of image and text) for Machine Learning training.
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
Version Downloads Last Updated
1.23.2 3,891 10/25/2025
1.23.1 4,429 10/8/2025
1.23.0 3,718 9/26/2025
1.23.0-rc.2 199 9/21/2025
1.22.1 34,871 7/1/2025
1.22.0 309,410 5/9/2025
1.21.2 4,536 4/24/2025
1.21.1 2,762 4/21/2025 1.21.1 is deprecated.
1.21.0 20,457 3/8/2025
1.20.1 32,000 11/21/2024
1.20.0 5,479 10/31/2024
1.19.2 50,639 9/3/2024
1.19.1 4,125 8/21/2024
1.19.0 4,405 8/17/2024
1.19.0-dev-20240812-1833-cc... 402 8/13/2024
1.18.1 38,946 6/27/2024
1.18.0 10,220 5/17/2024
1.17.3 17,209 4/10/2024
1.17.1 13,320 2/25/2024
1.17.0 11,852 1/31/2024
1.16.3 109,629 11/20/2023
1.16.2 26,950 11/9/2023
1.16.1 29,006 10/11/2023
1.16.0 91,923 9/19/2023
1.15.1 130,438 6/16/2023
1.15.0 43,893 5/24/2023
1.15.0-alpha 1,607 5/13/2023
1.14.1 121,898 2/27/2023
1.14.0 19,180 2/10/2023
1.13.1 109,991 10/24/2022
1.12.1 120,449 8/4/2022
1.12.0 36,271 7/22/2022
1.11.0 111,054 3/25/2022
1.10.0 55,091 12/7/2021
1.9.0 50,831 9/22/2021
1.8.1 99,996 7/7/2021
1.8.0 6,319 6/3/2021
1.7.1 28,229 3/4/2021
1.6.0 13,184 12/10/2020
1.5.2 8,257 10/15/2020
1.5.1 2,302 9/29/2020
1.4.0 21,969 7/17/2020
1.3.0 10,406 5/18/2020
1.2.0 5,706 3/10/2020
1.1.2 4,794 2/21/2020
1.1.1 1,876 1/24/2020
1.1.0 2,313 12/19/2019
1.0.0 2,222 10/30/2019
0.5.1 1,263 10/12/2019
0.5.0 4,074 8/1/2019
0.4.0 1,506 5/2/2019
0.3.1 1,163 4/9/2019
0.3.0 1,245 3/14/2019
0.2.1 1,442 2/1/2019
0.1.5 14,291 1/4/2019

Release Def:
Branch: refs/heads/rel-1.23.2
Commit: a83fc4d58cb48eb68890dd689f94f28288cf2278
Build: https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=974988