Microsoft’s open source journey: From 20,000 lines of Linux code to AI at global scale
From Linux kernel code to AI at scale, discover Microsoft’s open source evolution and impact.
From Linux kernel code to AI at scale, discover Microsoft’s open source evolution and impact.
The Cloud Native team at Azure is working to make AI on Kubernetes more cost-effective and approachable for a broader range of users.
This article will show you how to create a “guest” application that uses the Hyperlight library.
At Microsoft, we are committed to innovation in the cloud-native ecosystem through contributions and leadership from engineers across Azure.
Continuing the ONNXRuntime On-Device Training blog series, we are introducing ONNX Runtime Training for Web.
Get a technical overview of the Microsoft implementation of the DragGAN2 algorithm using ONNX Runtime.
LF AI & Data Foundation announced Recommenders as its latest Sandbox project.
ONNX models can be accelerated with ONNX Runtime, which works cross-platform and provides coverage for many cloud and language models.
Using ONNX Runtime to unlock the promise of developments in science for solving real world problems.
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.
ONNX Runtime is a high-performance cross-platform inference and training engine that can run a variety of machine learning models. ORT provides an easy-to-use experience for the AI developers to run models on multiple hardware and software platforms.
As we come together in Amsterdam, there are significant headwinds and challenges facing us, but I’m confident that open-source and cloud-native computing are critical parts of the solutions.
Today, we are excited to announce the much-anticipated availability of the OSS Feathr 1.0.