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How to maximise 5G network value in the AI era

Total Telecom

Managing increased network traffic Li also discussed the rapid growth of digital content production and distribution. Expanding coverage for smart devices and IoT As smart devices and cloud services become more widespread, the demand for fast, reliable network coverage continues to grow.

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Comcast’s Janus Initiative Expands Nationwide with DriveNets

VoIP Review

By utilizing DriveNets Network Cloud, which handles significant amounts of AT&T s core traffic, Comcast hopes to transform its distributed physical network infrastructure into a unified resource. This shared structure guarantees zero packet loss and optimal bandwidth, independent of physical limitations.

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BT Group to Trial MAUD Technology with Edgio as First CDN Partner

Telecom Talk

BT Group partners with Edgio to enhance live streaming using Multicast Assisted Unicast Distribution (MAUD) technology, optimising content delivery and reducing bandwidth usage.

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The future evolution of ODN technologies

Total Telecom

Contributed Article The optical distribution network (ODN) is a point-to-multipoint passive optical network (PON), as shown in FIG. In traditional ODN construction, the feeder optical cables, distribution optical cables, and drop cables are stripped or terminated onsite for fiber connection.

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F5.5G 10Gbps all-optical broadband ushers in the intelligent era: Huawei successfully holds the all-optical access innovation forum

Total Telecom

Huawei launched three innovations: the industry’s first 16-port 50G PON service board, 50G PON FTTR and distributed AI computing engine, and the industry’s first intelligent home broadband model — Agent. Feng Zhishan, President of Huawei Optical Access Network Product Line, delivered a keynote speech titled ” F5.5G

Broadband 264
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Bridging AI and global connectivity: The rise of hybrid cable landing stations and the shift beyond hyperscalers

Total Telecom

Driven by traditional hyperscalers with large-scale training clusters, emerging efficiency gains are shifting demand toward smaller, more distributed inference deployments. Meanwhile, demands for connectivity continue to rise globally, demanding infrastructure that best minimizes latency and improves data distribution.

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The Network Security Risks of AI

Fierce Telecom

These models and applications are inherently distributed, exchanging massive amounts of sensitive data across data centers, branch offices, edge devices and the cloud. While this places new bandwidth and latency demands on networks, it also exposes organizations to security risks beyond what they are accustomed to.

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