Microsoft Azure moves AI to edge with new Azure Percept hardware
Microsoft recently unveiled the public preview of Azure Percept, a platform of hardware and services that aims to simplify the ways in which customers can use Azure AI technologies on the edge – including taking advantage of Azure cloud offerings such as device management, AI model development and analytics.
According to Roanne Sones, corporate vice president of Microsoft’s edge and platform group, the goal of the new offering is to give customers a single, end-to-end system, from the hardware to the AI capabilities, that “just works” without requiring a lot of technical know-how.
The Azure Percept platform includes a development kit with an intelligent camera, Azure Percept Vision. There’s also a “getting started” experience called Azure Percept Studio that guides customers with or without a lot of coding expertise or experience through the entire AI lifecycle, including developing, training and deploying proof-of-concept ideas.
Azure Percept Vision and Azure Percept Audio, which ships separately from the development kit, connect to Azure services in the cloud and come with embedded hardware-accelerated AI modules that enable speech and vision AI at the edge, or during times when the device isn’t connected to the internet. That’s useful for scenarios in which the device needs to make lightning-fast calculations without taking the time to connect to the cloud, or in places where there isn’t always reliable internet connectivity, such as on a factory floor or in a location with spotty service.
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Article Topics
Azure | cloud | edge AI | edge cloud | Microsoft
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