Collaborating with Qualcomm to Improve AI and ML Dev Experiences

This post has been republished via RSS; it originally appeared at: New blog articles in Microsoft Tech Community.

Man using AI glasses with machineryMan using AI glasses with machinery

 

It’s an exciting time at Microsoft, with growing investments in edge computing and AI. Much of the future will be influenced by these technologies, and indeed, we are already seeing their power in telco 5G devices, IoT platforms, and low-power wide-area (LPWA) networks. With Microsoft’s recently announced Azure for Operator efforts, we’re in a unique position to drive IoT experiences that leverage edge AI via these emerging 5G and LPWA networks.

 

Toward that end, I’m so pleased to say we’re now collaborating with Qualcomm Technologies to facilitate a seamless artificial intelligence (AI) and machine learning (ML) developer experience. The efficiency granted by this seamlessness of development and deployment will benefit enterprises using Microsoft’s Azure and AI solutions such as the Azure IoT platform, and Qualcomm Technologies’ IoT processors and AI inferencing products.

 

Our two companies have produced some great work together over the years, including recent products and solutions for Microsoft’s Surface Pro X and Vision AI Developer Kit. This newest collaboration is just as exciting. Qualcomm Technologies’ position in the mobile ecosystem enables them to drive hardware-accelerated inference capabilities from ultra-low power edge AI solutions all the way to high-performance AI inferencing in the cloud using the Qualcomm® Cloud AI 100, leveraging 5G deployments with commercial customers. This makes them an excellent company to team up with for our new, polished AI and ML developer experience.

 

Keith Kressin, Senior President and General Manager, Compute and Cloud, Qualcomm Technologies said, “5G and AI are the two key technologies today fueling the convergence of the cloud and devices at the edge of networks. Collaborating with Microsoft to accelerate AI across a wide breadth of connected devices from the edge to the cloud, with our platform that runs single-milliwatt to Snapdragon to the Qualcomm Cloud AI 100, will enable a variety of powerful new applications and services.”

 

I know I speak for the entire Microsoft Azure Edge Devices team when I say we’re very excited to be working with Qualcomm Technologies on solutions to benefit enterprise developers and deployers across industries.

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