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SoftBank Unveils AI Model To Streamline Telecom Operations

SoftBank Unveils AI Model To Streamline Telecom Operations

軟銀推出人工智能模型,以簡化電信運營
Benzinga ·  03/19 14:04

SoftBank Corp. (OTC:SFTBF) (OTC:SFTBY) has introduced a new generative AI model called the Large Telecom Model.

軟銀CORP(場外交易:SFTBF)(場外交易:SFTBY)推出了一種名爲大型電信模型的新型生成性人工智能模型。

The Japanese investment firm designed LTM to improve the design, management, and functioning of cellular networks.

這家日本投資公司設計LTM旨在改善蜂窩網絡的設計、管理和功能。

Built on extensive datasets from SoftBank's network and years of operational expertise, the LTM is set to optimize telecom operations. The company intends to continue its research and development to incorporate the model into its own operations.

LTM基於軟銀網絡的大量數據集和多年的操作經驗構建,將優化電信運營。該公司打算繼續進行研究和開發,以將該模型納入其自身的運營中。

These AI models can accurately predict configurations for real base stations with more than 90% accuracy.

這些人工智能模型能夠以超過90%的準確率準確預測現實基站的配置。

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This process reduces the time needed to make adjustments from days to minutes, while also minimizing human error. Furthermore, the LTM serves as the core of SoftBank's "AI for RAN" initiative, improving Radio Access Network (RAN) performance.

這一過程將調整所需的時間從幾天縮短到幾分鐘,同時也減少了人爲錯誤。此外,LTM是軟銀「AI for RAN」計劃的核心,提高了無線接入網絡(RAN)的性能。

SoftBank's partnership with Nvidia Corp (NASDAQ:NVDA) was essential in enhancing the LTM's performance. By utilizing Nvidia's NIM for fine-tuning, SoftBank achieved substantial improvements in key performance metrics. That includes Time to First Token (TTFT) and Tokens Per Second (TPS).

軟銀與英偉達CORP(納斯達克:NVDA)的合作對於提升LTM的性能至關重要。通過利用英偉達的NIM進行微調,軟銀在關鍵性能指標上取得了顯著改善,包括首次令牌時間(TTFT)和每秒令牌數(TPS)。

The LTM incorporates SoftBank's extensive mobile network data, providing valuable insights and expert knowledge to solve network issues effectively.

LTM整合了軟銀廣泛的移動網絡數據,爲有效解決網絡問題提供了寶貴的見解和專業知識。

Through fine-tuning, LTM allows the development of AI models designed for specific use cases in mobile network operations, such as optimizing new base station deployments and adjusting configurations for special events.

通過微調,LTM允許開發針對移動網絡運營特定用例的人工智能模型,例如優化新基站部署和爲特殊事件調整配置。

SoftBank's use of Nvidia's DGX SuperPOD for distributed training and its continued collaboration on AI inference microservices will enhance LTM's capabilities and its potential deployment across networks.

軟銀使用英偉達的DGX SuperPOD進行分佈式訓練,並持續在人工智能推理微服務方面進行合作,將增強LTM的能力以及在網絡中的潛在部署。

SoftBank aims to leverage the LTM to improve operational efficiency, deliver new services, and enhance mobile network experiences.

軟銀旨在利用LTM提高運營效率、提供新服務及增強移動網絡體驗。

It is to be noted that the Trump Administration has revealed a new AI infrastructure initiative in the U.S. called "Stargate," which includes OpenAI, SoftBank, Oracle Corp (NYSE:ORCL), and Abu Dhabi's MGX. The venture plans to invest $100 billion initially, with the potential to reach up to $500 billion over the next four years.

值得注意的是,特朗普政府在美國透露了一項新的人工智能製造行業倡議,名爲"星際門戶",其中包括OpenAI、軟銀、甲骨文公司(紐交所:ORCL)和阿布扎比的MGX。該創業公司計劃最初投資1000億,未來四年可能達到5000億。

Price Action: SFTBF shares closed at $51.95 on Tuesday.

價格動態:SFTBF的股票在週二收於51.95美元。

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圖片: Shutterstock

譯文內容由第三人軟體翻譯。


以上內容僅用作資訊或教育之目的,不構成與富途相關的任何投資建議。富途竭力但無法保證上述全部內容的真實性、準確性和原創性。
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