Intel and Microsoft Azure™

Intel and Microsoft collaborate closely to ensure that the Microsoft Azure* cloud computing platform is optimized for the latest Intel® technologies, delivering a broad portfolio of intelligent services.

  • Azure Stack Edge*
  • Cognitive Services*
  • Machine Learning*
  • Virtual Machines*
  • IOT*
  • Microsoft Visual Studio*

Watch video ›

A pre-configured Data Science Virtual Machine with CPU-optimized TensorFlow and MXNet

The Intel® Optimized Data Science Virtual Machine (DSVM) is an extension of the Ubuntu version of Microsoft’s DSVM and comes with Python environments optimized for deep learning on Intel® Xeon® processors.

Learn more

Azure Stack Edge: Now Available

1U rack-mountable appliance from Microsoft; you sign up and pay-as-you-go just like any other Azure service and the hardware is included. Powered by Intel Xeon Scalable processors, Intel® SSDs, and Intel® Arria 10 FPGAs to accelerate inferencing of your data, then transfer it to the cloud to re-train and improve your models.

Learn more ›

Azure Cognitive Services

Azure Cognitive Services are pre-built, AI-powered algorithms being optimized for Intel® Xeon® processors to eliminate performance bottlenecks in vision, knowledge, language, and search applications.

Learn more ›

Azure Machine Learning

Azure Machine Learning now supports accelerator hardware backed by Project Brainwave. Powered by Intel® FPGAs, Project Brainwave, supports a variety of use cases across search, machine reading comprehension, image processing, and more. Customers gain access to industry-leading inferencing performance on the world's largest configurable cloud.

Learn more ›

Azure Virtual Machines

Beyond PaaS solutions like Azure Machine Learning, Microsoft offers a variety of on-demand Intel® Xeon® processor-based Virtual Machines for machine and deep learning applications.

Learn more ›

Azure IOT Edge and Intel Vision Processing Units

Azure IoT Edge is a fully managed service that delivers cloud intelligence locally by deploying and running Azure services on an IoT device. Organizations can containerize Azure AI workloads, including Cognitive Services and Azure Machine Learning, and deploy on various hardware platforms, including new purpose-built accelerator cards, Intel® Movidius™ Vision Processing Units (VPU), and a high-performance Intel® Arria® 10 FPGA.

Learn more ›

How to Get Started on Azure

Azure virtual machines (VMs) can be created through the Azure portal. This method provides a browser-based user interface to create VMs and their associated resources. This quickstart shows you how to use the Azure portal to deploy a virtual machine (VM) in Azure that runs Windows Server 2016. To see your VM in action, you then RDP to the VM and install the IIS web server.

  1. Choose Create a resource in the upper left-hand corner of the Azure portal.
  2. In the search box above the list of Azure Marketplace resources, search for and select Windows Server 2016 Datacenter, then choose Create.
  3. In the Basics tab, under Project details, make sure the correct subscription is selected and then choose to Create new resource group. Type myResourceGroup for the name.
  4. Get remaining instructions from here

Learn More & Contact

To learn more about Intel technologies for AI applications in the cloud, visit or contact your Intel representative.

And for more information about the Microsoft AI capabilities, visit the following sites:

Questions on how your enterprise can leverage the Intel-Microsoft relationship to get started in the cloud with Intel architecture, contact

Interested in contributing to and learning more about Intel's optimized open-source ML/DL packages, frameworks and libraries, contact