Connect fluid dynamics, machine learning, and virtual reality with ONNX Runtime 

5 min read

By thinking outside the box, we can envision creating a virtual multiverse. Within this innovative space, one can propose, evaluate, and decide on multiple hypotheses. Real-world examples of this approach include planning new product configurations, operating a plant, designing heating or cooling systems, or responding to catastrophes. Read more

On-Device Training with ONNX Runtime: A deep dive 

6 min read

Building upon the foundation we established earlier, this blog will present comprehensive information about the underlying details of training models directly on user devices using ORT. Equipped with these technical details, we encourage you to try out On-Device Training with ONNX Runtime for your custom scenario.  Read more

Improve BERT inference speed by combining the power of Optimum, OpenVINO™, ONNX Runtime, and Azure 

5 min read

Make large models smaller and faster with OpenVino Execution Provider, NNCF and ONNX Runtime leveraging Azure Machine Learning. Read more

Scaling-up PyTorch inference: Serving billions of daily NLP inferences with ONNX Runtime 

8 min read

Scale, performance, and efficient deployment of state-of-the-art Deep Learning models are ubiquitous challenges as applied machine learning grows across the industry. We’re happy to see that the ONNX Runtime Machine Learning model inferencing solution we’ve built and use in high-volume Microsoft products and services also resonates with our open source community, enabling new capabilities that Read more

Supporting efficient large model training on AMD Instinct™ GPUs with DeepSpeed 

6 min read

This post was co-authored by Jithun Nair and Aswin Mathews, members of technical staff at AMD. In recent years, large-scale deep learning models have demonstrated impressive capabilities, excelling at tasks across natural language processing, computer vision, and speech domains. Companies now use these models to power novel AI-driven user experiences across a whole spectrum of Read more

Add AI to mobile applications with Xamarin and ONNX Runtime 

2 min read

ONNX Runtime now supports building mobile applications in C# with Xamarin. Support for Android and iOS is included in the ONNX Runtime release 1.10 NuGet package. This enables C# developers to build AI applications for Android and iOS to execute ONNX models on mobile devices with ONNX Runtime. ONNX Runtime is the open source project Read more