Microsoft.ML.OnnxRuntime.Gpu
1.24.2-rc.1
Prefix Reserved
See the version list below for details.
dotnet add package Microsoft.ML.OnnxRuntime.Gpu --version 1.24.2-rc.1
NuGet\Install-Package Microsoft.ML.OnnxRuntime.Gpu -Version 1.24.2-rc.1
<PackageReference Include="Microsoft.ML.OnnxRuntime.Gpu" Version="1.24.2-rc.1" />
<PackageVersion Include="Microsoft.ML.OnnxRuntime.Gpu" Version="1.24.2-rc.1" />
<PackageReference Include="Microsoft.ML.OnnxRuntime.Gpu" />
paket add Microsoft.ML.OnnxRuntime.Gpu --version 1.24.2-rc.1
#r "nuget: Microsoft.ML.OnnxRuntime.Gpu, 1.24.2-rc.1"
#:package Microsoft.ML.OnnxRuntime.Gpu@1.24.2-rc.1
#addin nuget:?package=Microsoft.ML.OnnxRuntime.Gpu&version=1.24.2-rc.1&prerelease
#tool nuget:?package=Microsoft.ML.OnnxRuntime.Gpu&version=1.24.2-rc.1&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 (>= 1.24.2-rc.1)
- Microsoft.ML.OnnxRuntime.Gpu.Windows (>= 1.24.2-rc.1)
- Microsoft.ML.OnnxRuntime.Managed (>= 1.24.2-rc.1)
-
.NETFramework 0.0
- Microsoft.ML.OnnxRuntime.Gpu.Linux (>= 1.24.2-rc.1)
- Microsoft.ML.OnnxRuntime.Gpu.Windows (>= 1.24.2-rc.1)
- Microsoft.ML.OnnxRuntime.Managed (>= 1.24.2-rc.1)
-
.NETStandard 0.0
- Microsoft.ML.OnnxRuntime.Gpu.Linux (>= 1.24.2-rc.1)
- Microsoft.ML.OnnxRuntime.Gpu.Windows (>= 1.24.2-rc.1)
- Microsoft.ML.OnnxRuntime.Managed (>= 1.24.2-rc.1)
GitHub repositories (14)
Showing the top 14 popular GitHub repositories that depend on Microsoft.ML.OnnxRuntime.Gpu:
| Repository | Stars |
|---|---|
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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
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guojin-yan/DeploySharp
Deploying deep learning models on multiple platforms (OpenVINO/ONNX Runtime, etc.)
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| Version | Downloads | Last Updated |
|---|---|---|
| 1.25.0-dev-20260213-1842-9d... | 0 | 2/14/2026 |
| 1.25.0-dev-20260213-0625-bd... | 0 | 2/13/2026 |
| 1.25.0-dev-20260212-0624-1a... | 0 | 2/12/2026 |
| 1.25.0-dev-20260209-0627-a3... | 0 | 2/9/2026 |
| 1.25.0-dev-20260208-0621-56... | 0 | 2/8/2026 |
| 1.25.0-dev-20260207-0627-a8... | 0 | 2/7/2026 |
| 1.25.0-dev-20260206-0624-06... | 0 | 2/6/2026 |
| 1.25.0-dev-20260205-0622-b7... | 0 | 2/5/2026 |
| 1.25.0-dev-20260204-0622-89... | 0 | 2/4/2026 |
| 1.25.0-dev-20260203-0623-a5... | 0 | 2/3/2026 |
| 1.25.0-dev-20260202-0623-a5... | 0 | 2/3/2026 |
| 1.25.0-dev-20260131-0620-ce... | 0 | 1/31/2026 |
| 1.25.0-dev-20260129-0653-1c... | 0 | 1/29/2026 |
| 1.25.0-dev-20260127-0645-f8... | 0 | 1/27/2026 |
| 1.25.0-dev-20260126-0619-72... | 0 | 1/26/2026 |
| 1.25.0-dev-20260125-0617-72... | 0 | 1/25/2026 |
| 1.24.2-rc.1 | 0 | 2/13/2026 |
| 1.24.1 | 0 | 2/4/2026 |
| 1.24.0 | 0 | 1/29/2026 |
| 1.24.0-rc.2 | 0 | 1/27/2026 |
Release Def:
Branch: refs/heads/rel-1.24.2
Commit: f34d11d3e99abb3b1c2236f33e0e1aa30160b922
Build: https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=1085536