私有雲AI基礎設施：電信業者等企業的需求與策略

"出於成本、資料隱私和監管合規方面的考慮，越來越多的企業將選擇私有雲 AI 基礎架構。"

包括電信公司在內的企業越來越有興趣採用私有雲 AI 基礎設施來取代公有雲 AI 基礎架構。

本報告探討私有雲AI基礎設施，研究此趨勢背後的推動因素以及企業在採用私有雲AI基礎設施時可以採取的策略。它還包括研究公司如何在內部或主機託管設施中部署人工智慧基礎設施，以及構成該基礎設施的硬體和軟體平台。

此外，報告也分析了各類生態系統參與者如何協助企業部署和運作私有雲AI基礎設施，並為企業加快採用此基礎設施提出建議。

"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?