Today, we are excited to announce an open-source project called Azure AD workload identity for Kubernetes. It leverages the public preview capability of Azure AD workload identity federation.
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.
Securing the software supply chain and verifying that chain is hard for any software, and containers running in Kubernetes are no exception.
eBPF is a well-known, but revolutionary, technology for providing programmability, extensibility, and agility. eBPF has been applied to use cases such as denial-of-service protection and observability. In May 2021, we announced the effort to make eBPF work on Windows, and were encouraged by the huge amount of interest.
We are introducing ONNX Runtime Web (ORT Web), a new feature in ONNX Runtime to enable JavaScript developers to run and deploy machine learning models in browsers. It also helps enable new classes of on-device computation. ORT Web will be replacing the soon to be deprecated onnx.
Model training has been and will be in the foreseeable future one of the most frustrating things machine learning developers face. It takes quite a long time and people can’t really do anything about it.
This post was co-authored by Jeff Daily, a Principal Member of Technical Staff, Deep Learning Software for AMD. ONNX Runtime is an open-source project that is designed to accelerate machine learning across a wide range of frameworks, operating systems, and hardware platforms.
Today we announcing the first preview of the Microsoft Build of OpenJDK, a new long-term support (LTS) distribution of OpenJDK that is open source and available for free for anyone to deploy anywhere.
An ongoing series of stories about Microsoft people and projects making their world better through open source. If you haven’t heard of Babylon.
Scikit-learn is one of the most useful libraries for general machine learning in Python. To minimize the cost of deployment and avoid discrepancies, deploying scikit-learn models to production usually leverages Docker containers and pickle, the object serialization module of the Python standard library.
Managing Kubernetes clusters is hard. Managing Kubernetes clusters at scale across a variety of infrastructures is—well—even harder. The Kubernetes community project Cluster API (CAPI) enables users to manage fleets of clusters across multiple infrastructure providers.
Since its open source debut two years ago, ONNX Runtime has seen strong growth with performance improvements, expanded platform and device compatibility, hardware accelerator support, an extension to training acceleration, and more.
In summer 2019, I worked as a high school intern for the ONNX AI team at Microsoft and loved working on various projects with the team, including the BERT text classification model. However, due to Covid-19, the Microsoft Internship Program for high school students was canceled in the summer of 2020.
