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Private LTE/5G Network Market - 3rd Edition

Private LTE/5G Network Market - 3rd Edition

The number of private LTE/5G networks is expected to reach 4,700 by 2024.

Berg Insight has announced a new research report on the private LTE/5G network market in Europe and North America. Berg Insight predicts that, excluding proof of concept (PoC) projects, private LTE/5G networks will be deployed at 4,700 locations worldwide by the end of 2024, an increase from 3,400 locations the previous year. Private LTE/5G networks, referred to as non-public networks by 3GPP, are networks that use frequency bands defined by 3GPP along with LTE or 5G NR base stations, small cells, and other radio access network (RAN) infrastructure to transmit voice and data to edge devices. Private LTE/5G networks offer numerous benefits, including strong security and reliability, high bandwidth, low latency, smooth handoff for mobile use cases, and compatibility with public networks for coverage expansion. [Contents] ■ Private Cellular Networks ■ Market Forecasts and Trends ■ Company Profiles and Strategies

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Private LTE/5G networks for IoT applications

Private LTE/5G networks for IoT applications

The deployment of private LTE/5G networks will reach 11,900 by 2028.

Private LTE/5G networks are referred to as non-public networks by 3GPP and are networks that use frequency bands defined by 3GPP along with base stations, small cells, and other radio access network (RAN) infrastructure of LTE or 5G NR to transmit voice and data to edge devices. This report defines private cellular networks as 3GPP-based private LTE/5G networks built for exclusive use by private operators such as businesses and government agencies. In addition to advancements in cellular technology, the increasing availability of dedicated frequency bands for industrial use is transforming the private cellular network market from a niche market to a significant market. 【Contents (Excerpt)】 1. Private Cellular Networks 2. Market Analysis 3. Market Trends 4. Size and Forecast of the Private Network Market 5. Company Profiles and Strategies Report Details https://www.dri.co.jp/auto/report/berg/231220-private-lte5g-networks.html

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[Preliminary Research Report] AI Networks for AI Workloads

[Preliminary Research Report] AI Networks for AI Workloads

What are the network design options and topologies to support AI workloads?

The characteristic of emerging AI applications like ChatGPT is the vast number of parameters that must be managed. Some handle billions or even trillions of parameters, requiring thousands to tens of thousands of GPUs, TPUs, and other types of high-speed processors. To connect these accelerated servers into large-scale clusters, a data center-scale fabric known as an AI backend network is necessary. This network differs from traditional frontend networks used for connecting general-purpose servers. Furthermore, AI workloads possess unique attributes and characteristics that are significantly different from traditional general-purpose computing workloads. These distinctive attributes have a crucial impact on the type of network required for executing the workloads. For more details, please visit the URL below. [Report Details] *Reservations now being accepted* https://www.dri.co.jp/auto/report/delloro/230824-de-ad-ai-networks.html

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