私有云AI基础设施：电信业者等企业的需求与策略

"出于成本、资料隐私和监管合规方面的考虑，越来越多的企业将选择私有云 AI 基础架构。"

包括电信公司在内的企业越来越有兴趣采用私有云 AI 基础设施来取代公有云 AI 基础架构。

本报告探讨私有云AI基础设施，研究此趋势背后的推动因素以及企业在采用私有云AI基础设施时可以采取的策略。它还包括研究公司如何在内部或主机託管设施中部署人工智慧基础设施，以及构成该基础设施的硬体和软体平台。

此外，报告也分析了各类生态系统参与者如何协助企业部署和运作私有云AI基础设施，并为企业加快采用此基础设施提出建议。

"Enterprises will increasingly opt for private cloud AI infrastructure, driven by cost, data privacy, and regulatory compliance considerations."

Enterprises, including telecoms operators, are increasingly interested in adopting private cloud AI infrastructure as an alternative to public cloud AI infrastructure. This report explores the drivers behind this trend and the strategies that enterprises can adopt when implementing private cloud AI infrastructure. This includes a discussion about the ways in which enterprises can deploy AI infrastructure on-premises and in co-location facilities and the hardware and software platforms that makes up this infrastructure.

In addition, the report analyses how different categories of ecosystem player can support enterprises with implementing and operating private cloud AI infrastructure, and sets out recommendations for enterprises to expediate the successful adoption of this infrastructure.

Questions answered:

• Why are enterprises finding public cloud AI infrastructure unsuitable for their purposes and what are the benefits of adopting private cloud AI infrastructure?
• What does the private cloud AI infrastructure stack look like?
• What are the different deployment models for private cloud AI infrastructure and how can enterprises approach the implementation of this infrastructure?
• How can the vendor ecosystem support enterprises in implementing private cloud AI infrastructure?