Hyperlight: Achieving 0.0009-second micro-VM execution time
In this post, we’ll take the demo application and show how it demonstrates one way you can use Hyperlight in your applications.
Microsoft Open Source Blog
See how Azure is empowering cloud-native development and AI innovation with Kubernetes at KubeCon Europe 2024
Microsoft is excited to be able to support and contribute to the cloud-native and open-source communities at KubeCon Europe 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.
Exploring DragGAN implementation using ONNX Runtime
Get a technical overview of the Microsoft implementation of the DragGAN2 algorithm using ONNX Runtime.
Microsoft welcomes you to KubeCon Chicago
Empowering developers with key improvements and innovations with Microsoft at KubeCon North America.
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.