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.
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.
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.
Our world is increasingly reliant on cloud services that are expected to have high availability and handle high throughput with minimal latency. These services are also expected to be resilient and reliable in the presence of internal and external failures, while maintaining a high quality bar in the presence of continuous evolution and change.
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.
For Microsoft’s internal teams and external customers, we store datasets that span from a few GBs to 100s of PBs in our data lake. The scope of analytics on these datasets ranges from traditional batch-style queries (e.g., OLAP) to explorative ”finding the needle in a haystack” type of queries (e.g., point-lookups, summarization).
Today, we’re announcing Azure Service Operator―an open source project we’ve been working on in collaboration with a handful of customers to expose several Microsoft Azure services as Kubernetes operators. As we’ve seen Kubernetes adoption grow exponentially, we’ve also seen an increasing desire from customers to manage their resources exclusively through the Kubernetes control plane.
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.
Join us next Tuesday, June 23, for Camp Cloud Native! Previously known as Cloud Native eParty, the free live virtual event is focused on the cloud native ecosystem, with a focus on education and fun! The 12-hour event will span from 5am PT to 5pm PT.
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.
In March of this year, the Open Application Model (OAM) specification reached the second draft milestone of the spec, dubbed v1Alpha2.
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.
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.
