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Home Technology Big Data, Analytics & Intelligence

Ericsson and Supermicro partner to advance Edge AI deployment

FutureCIO Editors by FutureCIO Editors
June 16, 2025
Photo by Google DeepMind: https://www.pexels.com/photo/an-artist-s-illustration-of-artificial-intelligence-ai-this-image-depicts-how-ai-could-adapt-to-an-infinite-amount-of-uses-it-was-created-by-nidia-dias-as-part-of-the-visualising-ai-pr-17485657/

Photo by Google DeepMind: https://www.pexels.com/photo/an-artist-s-illustration-of-artificial-intelligence-ai-this-image-depicts-how-ai-could-adapt-to-an-infinite-amount-of-uses-it-was-created-by-nidia-dias-as-part-of-the-visualising-ai-pr-17485657/

Ericsson and Supermicro intend to collaborate to accelerate the deployment of Edge AI. 

In a Memorandum of Understanding, the parties are set to pioneer a new era in technology by exploring the combination of Ericsson Enterprise Wireless Solutions' 5G connectivity with Supermicro's Edge AI platforms into commercial bundles.

Mory Lin

Mory Lin, vice president of IoT/Embedded & Edge Computing, Supermicro, said: "Our compute platforms combined with Ericsson's 5G technology will allow enterprises and public sector organisations to extend the reach of their AI applications where wired technologies are not a viable option, such as smart intersections, industrial manufacturing, and remote infrastructure."

Advancing Edge AI deployment

The collaboration aims to deliver advanced Edge AI capabilities that leverage 5G network connectivity, simplifying procurement and deployment with a unified solution featuring pre-validated AI compute and 5G connectivity.

Jonathan Fischer, vice president of global OEM & Embedded Partners at Ericsson, says, "Ericsson has been transforming the WAN edge for almost a decade, allowing enterprises to connect anything, anywhere with speed and agility. We are excited to collaborate with Supermicro to extend this same speed and agility to the emerging Edge AI space."

Industry applications

The collaboration aims to help businesses in various industries, including the following:

·       Retail: Accelerate checkout processing through real-time image recognition of items, enhance inventory tracking, and detect and alert against theft.

·       Smart Factory and Industrial Automation: Monitor and control industrial machinery by locally processing sensor and camera data. 

·       Traffic Safety: Enhance traffic safety through data analysis directly from camera and sensor sources for adaptive, real-time traffic management.

·       Healthcare Management: Support healthcare operations, including just-in-time inventory management, to reduce waste and ensure the availability of medical supplies.

Related:  InnoBlock builds HK’s first ESG data platform on AWS
Tags: Artificial Intelligencedigital transformationSupermicro
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