Ericsson and Supermicro have announced plans to collaborate on a new solution aimed at accelerating the deployment of AI systems at the network edge. The two companies signed a Memorandum of Understanding to explore the integration of Supermicro’s high-performance edge computing platforms with Ericsson’s 5G connectivity technologies.
This partnership is expected to result in a streamlined offering that combines advanced AI processing with reliable wireless network access. The goal is to make it easier for organizations to roll out edge-based AI systems that require low latency and real-time responsiveness—particularly in industries such as manufacturing, healthcare, retail, and traffic management.
As demand increases for AI systems that can operate closer to the point of data collection, enterprises are moving away from centralized data centers toward distributed edge setups. These systems enable quicker decisions by processing data locally. By pairing Supermicro’s edge computing hardware with Ericsson’s 5G wireless network capabilities, the combined solution will support rapid deployment in areas where wired infrastructure may be limited or unavailable.
Supermicro offers a wide range of edge computing systems, including compact and rack-mounted formats, designed to operate in diverse environments. These systems are now being optimized for seamless integration with wireless technologies, delivering speeds and reliability comparable to traditional wired connections.
“Our hardware allows businesses to bring AI closer to where data is generated,” said Mory Lin, Vice President of IoT and Edge Computing at Supermicro. “By working with Ericsson, we’re giving customers a flexible option when wired access isn’t feasible—whether that’s on the factory floor, at remote sites, or in urban environments like smart intersections.”
Ericsson’s enterprise wireless solutions include indoor and outdoor 5G adapters and secure connectivity appliances. These are designed to serve as primary or backup network links in business-critical deployments. Features such as network slicing, adaptive bandwidth, and security layers provide added flexibility and control.
“Ericsson has spent years building wireless networks that help businesses stay connected with speed and precision,” said Jonathan Fischer, Vice President of Global OEM and Embedded Partnerships at Ericsson. “This partnership brings that same agility to the growing demand for local AI processing.”
The integrated platform is designed to streamline operations across various industries, offering tailored solutions for specific use cases. In retail, it accelerates checkout processes with AI-driven item recognition and enhances security through advanced loss prevention systems. In industrial automation, the platform processes equipment data on-site, enabling quicker responses to issues and minimizing downtime for more efficient operations.
For traffic management, the platform utilizes edge devices to monitor and control signals in real time, improving road safety and traffic flow. In healthcare, it optimizes inventory management, ensuring critical medical supplies are readily available when needed. By providing seamless, real-time insights and control, the platform drives efficiency, safety, and cost-effectiveness across these sectors.
Super Micro Computer, is a global provider of optimized IT infrastructure solutions, serving sectors such as enterprise computing, cloud services, AI workloads, and telecommunications. Based in San Jose, California, Supermicro designs and builds servers, storage systems, and networking equipment with a focus on energy efficiency and rapid innovation. The company manufactures products across facilities in the U.S., Europe, and Asia to support global demand.
Ericsson is a leader in mobile and enterprise communications, providing networking and connectivity technologies used by service providers and businesses around the world. With a legacy spanning nearly 150 years, Ericsson supports global digital transformation through advanced mobile infrastructure and cloud solutions.
