GPU-as-a-service(GPUaaS):通訊業者的案例研究與分析

GPU-as-a-service (GPUaaS): Telecoms Operator Case Studies and Analysis

出版日期: 2025年08月11日 | 出版商:

Analysys Mason | 英文 33 Slides | 商品交期: 最快1-2個工作天內

價格

簡介目錄

"電信業者可以透過為企業提供自主的 AI 基礎設施，從而脫穎而出，從其他 GPUaaS 供應商中脫穎而出。"

本報告描述、分析並比較了 10 家電信業者的 GPUaaS（GPU 即服務）策略。報告探討了營運商如何部署支援 GPUaaS 的基礎設施和平台。報告也探討了營運商服務商業化和差異化策略，以及 GPUaaS 如何融入更廣泛的企業服務組合，包括企業 AI 服務。報告也為電信業者提供了建議。

問題解答

哪些電信業者推出了 GPUaaS 產品？
電信業者在 GPUaaS 基礎建設的投資是多少？
電信業者如何採用 GPUaaS？
營運商如何實現 GPUaaS 的商業化和差異化？
GPUaaS 如何融入營運商更廣泛的企業服務組合，包括企業 AI 服務？
營運商如何在 GPUaaS 市場取得成功？

案例研究

Iliad Group
Indosat Ooredoo Hutchison
KDDI
KT
Orange

Singtel
SK Telecom
Swisscom
Tata Communications
Telenor

簡介目錄

"Telecoms operators can stand out from other GPUaaS providers by offering enterprises access to sovereign AI infrastructure."

This report explains, analyses and compares the GPU-as-a-service (GPUaaS) strategies of ten different telecoms operators. It explores how operators are approaching the implementation of infrastructure and platforms that support their GPUaaS offerings. In addition, the report examines operator strategies for commercialising and differentiating their offerings and how GPUaaS fits into their broader portfolio of enterprise services including enterprise AI services. The report also provides recommendations for telecoms operators.

Questions answered:

Which operators are launching GPUaaS offerings?
How much are operators spending on GPUaaS infrastructure?
How are operators implementing their GPUaaS offerings?
How are operators commercialising and differentiating their GPUaaS offerings?
How does GPUaaS fit with operators' wider portfolios of enterprise services, including enterprise AI services?
How can operators best achieve success in the GPUaaS market?