Microsoft at Open Source Summit Europe 2024: Driving collaboration and innovation
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Content type: News
Open sourcing MS-DOS 4.0
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
Join Microsoft at Open Source Summit North America 2024, taking place in Seattle, Washington from April 16 to 18, 2024.
ONNX Runtime Web unleashes generative AI in the browser using WebGPU
ONNX Runtime Web featuring WebGPU is now available in the ONNX Runtime 1.17 release—unlocking new possibilities.
On-Device Training: Training a model in browser
Continuing the ONNXRuntime On-Device Training blog series, we are introducing ONNX Runtime Training for Web.
Enabling developer collaboration with Radius
Redefining how applications are build, managed, and understood with Radius—from the Azure Incubations team.
Recommenders joins LF AI & Data as new Sandbox project
LF AI & Data Foundation announced Recommenders as its latest Sandbox project.
Accelerating over 130,000 Hugging Face models with ONNX Runtime
ONNX models can be accelerated with ONNX Runtime, which works cross-platform and provides coverage for many cloud and language models.
Boosting performance in ONNX Runtime with Intel® AMX for 4th Gen Intel® Xeon® Processors
ONNX Runtime harnesses Intel® AMX to accelerate performance for the 4th Gen Intel® Xeon® CPUs.
Scaling workloads on Microsoft Azure with Kubernetes Event-Driven Autoscaling
KEDA reduces the complexity of infrastructure autoscaling, making it simpler to configure, manage, and secure the application auto-scaler.
Introducing ONNX Script: Authoring ONNX with the ease of Python
ONNX Script is a new open-source library for directly authoring ONNX models in Python.
Connect fluid dynamics, machine learning, and virtual reality with ONNX Runtime
Using ONNX Runtime to unlock the promise of developments in science for solving real world problems.
On-Device Training with ONNX Runtime: A deep dive
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.