World-class PyTorch support on Azure
In the past two years since PyTorch’s first release in October 2016, we’ve witnessed the rapid and organic adoption of the deep learning framework among academia, industry, and the AI community at large.
In the past two years since PyTorch’s first release in October 2016, we’ve witnessed the rapid and organic adoption of the deep learning framework among academia, industry, and the AI community at large.
It is my pleasure to announce the availability of the public preview of the Azure Sphere Security Service, Azure Sphere Operating System, and Visual Studio development experience.
For years now, our partners and customers have been using the Azure Internet of Things (IoT) platform to create breakthrough applications for a wide variety of industries.
IoT is reshaping the way we interact with the world around us.
We are excited to announce the general availability of Azure Cosmos DB reserved capacity – expanding our commitment to making Cosmos DB the most cost-effective database for your modern scale-out workloads.
Azure IoT Hub message routing simplifies IoT solution development and enables you to send messages from your devices to cloud services in an automated, scalable, and reliable manner.
A year ago today we launched the public preview of the Azure IoT Hub Device Provisioning Service, and today we announce the public preview of the latest major wave of functionality to automate device provisioning!
Enterprises are accelerating their digital transformation. We have seen this momentum over the last year as evidenced by customers moving their mission critical SAP applications to Azure.
Our quest to simplify IoT extends to customers who want to take advantage of IoT without knowing anything about the cloud. I am delighted to announce Azure IoT Central is now generally available.
Since its conception in 2010, as a cloud-born database, we have carefully designed and engineered Azure Cosmos DB to exploit the three fundamental properties of the cloud.
We recently announced the general availability of Azure IoT Edge, allowing you to deploy cloud workloads like AI and machine learning to run directly on your IoT devices.
Artificial Intelligence (AI) and machine learning (ML) technologies extend the capabilities of software applications that are now found throughout our daily life: digital assistants, facial recognition, photo captioning, banking services, and product recommendations.