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Introducing ONNX Runtime mobile – a reduced size, high performance package for edge devices 

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 are excited to announce ONNX Runtime release v1.5 as part of our AI at Scale initiative. This release includes ONNX Runtime mobile, a new feature targeting smartphones and other...Read more

Accelerate traditional machine learning models on GPU with ONNX Runtime 

With the growing trend towards deep learning techniques in AI, there are many investments in accelerating neural network models using GPUs and other specialized hardware. However, many models used in production are still based on traditional machine learning libraries or sometimes a combination of traditional machine learning (ML) and DNNs. We’ve previously shared the performance...Read more

Announcing Dapr integration in Azure API Management Service 

Dapr integration in the Azure API Management (APIM) service is now available. This new capability enables operations teams to directly expose Dapr microservices as APIs and make those APIs discoverable and easily consumable by developers with proper controls across multiple Dapr deployments—whether in the cloud, on-premises, or on the edge. Since its initial release last...Read more

Open-sourcing TensorFlow with DirectML 

Following the release of our Developer Preview in June, today we’re announcing an exciting next step as we make the source code of TensorFlow-DirectML, an extension of TensorFlow on Windows, available to the public as an open-source project on GitHub. TensorFlow-DirectML broadens the reach of TensorFlow beyond its traditional Graphics Processing Unit (GPU) support, by...Read more

GPT-2 fine-tuning with ONNX Runtime – a 34% speedup in training time 

Model training is an important step when developing and deploying large scale Artificial Intelligence (AI) models. Training typically utilizes a large amount of compute resources to tune the model based on the input dataset. Transformer models, with millions and billions of parameters, are especially compute-intensive and training costs increase with model size and fine-tuning steps...Read more

VS Code Docker extension can now run containers in Azure Container Instances 

Today we are releasing version 1.4 of our Visual Studio Code Docker extension, which makes it easy to build, manage, and deploy containerized applications from Visual Studio Code (VS Code). In this release, you can now view and troubleshoot containers deployed in Azure Container Instances (ACI) from within VS Code. If you are using, or...Read more

Announcing Azure Functions extension for Dapr 

We’re excited to announce a new extension for Azure Functions that lets a function seamlessly interact with Dapr for building cloud-native applications. Azure Functions provides an event-driven programming model and Dapr provides a set of essential cloud-native building blocks. With this new extension, you can now bring both together for serverless and event-driven apps that...Read more

What’s new in SandDance 3 

SandDance, the open source data visualization tool from Microsoft Research, is launching several new features in version 3. Facets on all chart types We’ve added much more control to faceted data. All chart types now have the Facet By column feature. When a Facet By column contains quantitative data, you can specify the number of...Read more

Announcing the Azure DevOps Provider for Terraform 

On behalf of HashiCorp and Microsoft, I am excited to announce the release of Azure DevOps Provider 0.0.1 for Terraform. With this provider, you will be able to manage Azure DevOps resources like projects, CI/CD pipelines, and build policies through Terraform. Many of our customers have been moving towards Infrastructure as Code (IaC) tools such...Read more

The Open Application Model reaches a new milestone with v1Alpha2 and Crossplane 

In March of this year, the Open Application Model (OAM) specification reached the second draft milestone of the spec, dubbed v1Alpha2. This draft was a collaborative effort with the OAM community and the community behind Crossplane—a forward-thinking open source project that enables you to use the Kubernetes API to provision and manage cloud infrastructure, services,...Read more

Announcing cloud-native workflows using Dapr and Logic Apps 

The Distributed Application Runtime (Dapr) project is growing rapidly are we’re grateful for all the community support and customer feedback. While working with customers building business applications, we find that one of the most frequent needs is the ability to schedule, automate, and orchestrate business processes. This is often called a business workflow. Workflows also...Read more

Announcing accelerated training with ONNX Runtime—train models up to 45% faster 

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. It is used extensively in Microsoft products, like Office 365 and Bing, delivering over 20 billion inferences every day and up to 17 times faster inferencing. Today we are introducing...Read more