Ericsson and Supermicro Announce Strategic Alliance to Turbocharge Enterprise Edge AI with Integrated 5G Solutions

San Jose, CA & Paris, France In a significant move to accelerate the adoption of Edge AI, telecommunications leader Ericsson and server technology specialist Supermicro announced a strategic collaboration on June 10, 2025. The two companies have signed a Memorandum of Understanding (MoU) to jointly explore the integration of Ericsson's advanced 5G connectivity solutions with Supermicro's robust Edge AI platforms, with the goal of offering unified commercial bundles to enterprise customers.

Simplifying Edge AI Deployment

This partnership is designed to simplify the procurement and deployment process for businesses looking to harness the power of artificial intelligence at the network edge for real-time local data processing and decision-making. The collaboration is driven by the growing demand for solutions that can run pre-trained AI models, generative AI, and autonomous agents outside of traditional, centralized data centers. The integrated offerings are particularly aimed at enabling businesses in sectors such as retail, manufacturing, and healthcare to rapidly deploy Edge AI infrastructure, especially in environments where reliable wired connectivity is impractical or unavailable. Supermicro's extensive portfolio of Edge AI hardware will be complemented by Ericsson's leading wireless WAN portfolio, including its 5G adapters and SD-WAN security appliances.

Unlocking Real-Time Intelligence at the Edge

Mory Lin, Vice President at Supermicro, stated that this combination will allow organizations to “extend the reach of their AI applications where wired technologies are not a viable option.” Jonathan Fischer, Vice President at Ericsson, added, “Together, we have an opportunity to make it easier for enterprises to operate edge intelligence.” The alliance highlights the critical convergence of 5G and AI at the network edge, aiming to lower the barrier to entry and accelerate the adoption of transformative Edge AI applications across a multitude of industries.