Detect and react intelligently to changes in data with Drasi
This introductory post will focus on the core concepts of Drasi, and its major components such as Sources.
This introductory post will focus on the core concepts of Drasi, and its major components such as Sources.
Connect with other open source enthusiasts at Open Source Summit Europe 2024 in Vienna, Austria.
In partnership with IBM, we’re releasing the source code to MS-DOS 4.00 under the MIT license to support open innovation.
Join Microsoft at Open Source Summit North America 2024, taking place in Seattle, Washington from April 16 to 18, 2024.
ONNX Runtime Web featuring WebGPU is now available in the ONNX Runtime 1.17 release—unlocking new possibilities.
Continuing the ONNXRuntime On-Device Training blog series, we are introducing ONNX Runtime Training for Web.
Redefining how applications are build, managed, and understood with Radius—from the Azure Incubations team.
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.
ONNX Runtime harnesses Intel® AMX to accelerate performance for the 4th Gen Intel® Xeon® CPUs.
KEDA reduces the complexity of infrastructure autoscaling, making it simpler to configure, manage, and secure the application auto-scaler.
ONNX Script is a new open-source library for directly authoring ONNX models in Python.
Using ONNX Runtime to unlock the promise of developments in science for solving real world problems.