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Data Center News > Blog > Edge Computing > Ericsson and Supermicro target edge bottlenecks with 5G-AI convergence push
Edge Computing

Ericsson and Supermicro target edge bottlenecks with 5G-AI convergence push

Last updated: June 19, 2025 12:35 pm
Published June 19, 2025
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Ericsson and Supermicro target edge bottlenecks with 5G-AI convergence push
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Ericsson and Supermicro introduced a strategic collaboration to speed up edge AI deployment by combining Ericsson’s 5G connectivity with Supermicro’s edge AI platforms.

The partnership goals to ship superior edge AI capabilities with low-latency 5G connectivity, simplifying deployment via pre-validated AI and 5G options.

Edge AI purposes will assist industries comparable to retail, manufacturing, healthcare, and site visitors administration by enabling native processing of AI fashions outdoors knowledge facilities.

Supermicro affords a spread of edge AI infrastructure merchandise, from compact gadgets to rackmount programs, designed for numerous environments with excessive knowledge throughput. Ericsson’s 5G options present options comparable to community slicing, mobile intelligence, and 0 belief safety, enabling enterprises to deploy AI in areas the place wired connectivity is impractical.

Particular use cases embrace real-time picture recognition in retail, industrial automation, adaptive site visitors administration, and healthcare stock optimization.

“Supermicro delivers cutting-edge options that permit enterprises to harness the ability of AI on the edge,” says Mory Lin, Vice President, IoT/Embedded & Edge Computing, Supermicro. “Our compute platforms mixed with Ericsson’s 5G expertise will permit enterprises and public sector organizations to increase the attain of their AI purposes the place wired applied sciences should not a viable choice, comparable to sensible intersections, industrial manufacturing, and distant infrastructure.”

The collaboration goals to make edge AI deployment quicker and extra accessible for enterprises, enhancing operational effectivity and innovation. 

This announcement exemplifies a broader trade development: converging communications and compute on the edge to assist real-time, bandwidth-intensive AI workloads nearer to the info supply. In doing so, it straight addresses key challenges in edge AI scalability, safety, and integration, whereas opening up new operational efficiencies and enterprise fashions throughout numerous verticals.

See also  Walrus and Veea fuse edge NVMe and decentralized storage to power AI at the edge

Associated

5G  |  AI on the edge  |  connectivity  |  edge AI  |  enterprise AI  |  Ericsson  |  {hardware}  |  Supermicro

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TAGGED: 5GAI, bottlenecks, Convergence, edge, Ericsson, Push, Supermicro, target
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