Verizon is positioning long-haul fiber and legacy central offices for two phases of the AI infrastructure buildout: connecting distributed data centers today, then supporting inference closer to network endpoints The …

As the center of AI gravity shifts from training to inference, AT&T is positioning its fiber network as connecting AI infrastructure to enterprises and physical systems The first phase of …

Rob Shore, head of optical networks solution marketing at Nokia Network Infrastructure, told RCRTech that power is the main physical constraint facing new AI data center development In sum – …

AI traffic is triggering a new fiber focus meant to support distributed training, inference and critical workloads The first wave of AI infrastructure investment was overwhelmingly a compute story. Hyperscalers …

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 …

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 …

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 …

Rather than treating AI as an extension of conventional cloud computing, AWS plans and operates AI infrastructure independently from its traditional cloud network In sum – what to know: Traffic …

Craig Tavares, president and COO of BUZZ HPC told RCRTech that access to dedicated, high-capacity connectivity directly affects both the economics and competitiveness of large-scale AI facilities In sum – …

In sum – what to know: HCF introduced – STL launches India’s first hollow core fiber cable, using an air-filled core to improve transmission speed and reduce latency compared to …