GPU-as-a-service(GPUaaS):通讯业者的案例研究与分析

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个工作天内

价格

简介目录

"电信业者可以透过为企业提供自主的 AI 基础设施，从而脱颖而出，从其他 GPUaaS 供应商中脱颖而出。"

本报告描述、分析并比较了 10 家电信业者的 GPUaaS（GPU 即服务）策略。报告探讨了营运商如何部署支援 GPUaaS 的基础设施和平台。报告也探讨了营运商服务商业化和差异化策略，以及 GPUaaS 如何融入更广泛的企业服务组合，包括企业 AI 服务。报告也为电信业者提供了建议。

问题解答

哪些电信业者推出了 GPUaaS 产品？
电信业者在 GPUaaS 基础建设的投资是多少？
电信业者如何采用 GPUaaS？
营运商如何实现 GPUaaS 的商业化和差异化？
GPUaaS 如何融入营运商更广泛的企业服务组合，包括企业 AI 服务？
营运商如何在 GPUaaS 市场取得成功？

案例研究

Iliad Group
Indosat Ooredoo Hutchison
KDDI
KT
Orange

Singtel
SK Telecom
Swisscom
Tata Communications
Telenor

简介目录

"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?