人工智慧浪潮席捲夏威夷——电力和光纤瓶颈：

来自夏威夷PTC 2026大会的洞见——为何连接性和能源供应正在推动人工智慧的普及；MTN顾问公司 "资料中心电力与连接（DCPC）" 研究服务发布背景

本报告探讨了电力和光纤连接对人工智慧基础设施的影响。报告还介绍了MTN顾问公司推出的全新服务“数据中心电力与连接（DCPC）”，并详细阐述了背后的原因。此外，报告回顾了上个月在夏威夷檀香山举行的PTC 2026大会，分析了关键演讲及其对整个行业的影响。报告为光纤/网路供应商、电力基础设施供应商以及希望掌握当前繁荣机会并规避市场动盪风险的投资者提供了建议。 PTC'26 的一个关键主题是基础设施超大型化：向千兆瓦级园区转型，光纤密度增加十倍，以及可能导致区域电网不稳定和碳排放量飙升的电力消耗水平。

提及的组织：

• Alibaba
• Alphabet
• Amazon
• Apple
• Arista
• Assured Communications
• Baidu
• C-Connex
• Ciena
• Cisco Systems
• Cognizant
• Corning
• Cummins
• Digital Realty
• DXN Limited
• eBay
• Flex
• Free University of Berlin
• Guggenheim Securities
• Haynes Boone
• HPE
• IBM
• Infinera
• JD.COM
• Juniper
• Kuaishou
• Meta (FB)
• Microsoft
• Nokia
• NVIDIA
• Oracle
• SAP
• Schneider Electric
• Siemens Energy
• Tencent
• University College London
• Vertiv
• Wiwynn
• Xiaomi
• Yandex

目录

• 1. 摘要
• 2. 背景
• 3. 电力及光纤相关主要观点
• 4. 暗示与建议
• 5. 附录

This report examines how power and fiber connectivity drive AI infrastructure. It introduces MTN Consulting's new "Data Center Power & Connectivity" (DCPC) service, detailing the factors that motivated its launch. We also review the PTC 2026 conference held last month in Honolulu, Hawaii, analyzing key presentations and their implications for the broader industry. We provide recommendations for fiber/networking vendors, power infra vendors, and investors as they attempt to reap opportunities from the current boom while also hedging against the risk of a market collapse. The dominant narrative emerging from PTC'26 is one of infrastructure supersizing: a shift toward gigawatt-scale campuses, 10x increases in fiber density, and power consumption levels that threaten to destabilize regional electrical grids and spike carbon emissions.

Organizations mentioned:

• Alibaba
• Alphabet
• Amazon
• Apple
• Arista
• Assured Communications
• Baidu
• C-Connex
• Ciena
• Cisco Systems
• Cognizant
• Corning
• Cummins
• Digital Realty
• DXN Limited
• eBay
• Flex
• Free University of Berlin
• Guggenheim Securities
• Haynes Boone
• HPE
• IBM
• Infinera
• JD.COM
• Juniper
• Kuaishou
• Meta (FB)
• Microsoft
• Nokia
• NVIDIA
• Oracle
• SAP
• Schneider Electric
• Siemens Energy
• Tencent
• University College London
• Vertiv
• Wiwynn
• Xiaomi
• Yandex

Table of Contents

• 1. Summary
• 2. Setting the scene
• 3. Power & fiber takeaways
• 4. Implications & recommendations
• 5. Appendix

List of Figures and Tables

• 1. Figure 1: YoY % change in energy consumption for webscalers
• 2. Figure 2: Cost profile of traditional vs. AI-focused data center
• 3. Figure 3: Data center power challenges, per Siemens Energy
• 4. Figure 4: Digital Realty on the importance of networking
• 5. Figure 5: Data center capacity growth and implications
• 6. Figure 6: Webscale tech capex vs. Data center-related non-chip revenues (annualized $M)