Operators are pushing toward 400G, 800G and 1.6T optical networking, but AI workloads are also increasing the importance of deterministic performance, power efficiency, telemetry and automation The first requirement AI …
Sean Kinney, Principal Analyst
Sean Kinney, Principal Analyst
Sean focuses on multiple subject areas including 5G, Open RAN, hybrid cloud, edge computing, and Industry 4.0. He also hosts Arden Media's podcast Will 5G Change the World? Prior to his work at RCR, Sean studied journalism and literature at the University of Mississippi then spent six years based in Key West, Florida, working as a reporter for the Miami Herald Media Company. He currently lives in Fayetteville, Arkansas.
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Distributed inference, agentic AI and physical AI are changing the shape of network traffic Training frontier AI models is fundamentally a problem of concentration. Thousands of accelerators are assembled into …
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Billion-dollar fiber agreements and purpose-built private networks show how hyperscaler AI infrastructure is changing the economics of carrier networks The cloud era was supposed to diminish the strategic importance of …
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As AI infrastructure spreads beyond the data center, optical network upgrades are necessary to support distributed training, inference and critical AI workloads The first wave of AI infrastructure investment was …
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As AI shifts from model training toward widespread inference, compute placement, orchestration and programmable connectivity are emerging as critical AI infrastructure challenges The first phase of the AI infrastructure boom …
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Open and Cloud RAN re creating the programmable foundation for AI-RAN, with spectral efficiency, automation and orchestration emerging as key steps toward AI-native 6G networks The radio access network (RAN) …
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Open and Cloud RAN re creating the programmable foundation for AI-RAN, with spectral efficiency, automation and orchestration emerging as key steps toward AI-native 6G networks The radio access network (RAN) …
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Nokia’s AI-RAN approach couples near-term spectral-efficiency gains with a longer-term architectural shift toward shared accelerated compute As telecoms operators look to leverage the AI inflection point as a way to …
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TELUS is using its brownfield Open RAN transformation as the operational foundation for AI-RAN and broader AI-enabled automation. For TELUS, Open RAN is increasingly about more than disaggregation or supplier …
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Nokia and Ericsson are taking different routes toward AI-RAN, while T-Mobile US offers a real-world view of how operators are setting strategies Nokia and Ericsson broadly agree on the destination …