人工智慧浪潮席捲夏威夷——電力和光纖瓶頸：

來自夏威夷PTC 2026大會的洞見——為何連接性和能源供應正在推動人工智慧的普及；MTN顧問公司 "資料中心電力與連接（DCPC）" 研究服務發布背景

本報告探討了電力和光纖連接對人工智慧基礎設施的影響。報告還介紹了MTN顧問公司推出的全新服務“數據中心電力與連接（DCPC）”，並詳細闡述了背後的原因。此外，報告回顧了上個月在夏威夷檀香山舉行的PTC 2026大會，分析了關鍵演講及其對整個行業的影響。報告為光纖/網路供應商、電力基礎設施供應商以及希望掌握當前繁榮機會並規避市場動盪風險的投資者提供了建議。 PTC'26 的一個關鍵主題是基礎設施超大型化：向千兆瓦級園區轉型，光纖密度增加十倍，以及可能導致區域電網不穩定和碳排放量飆升的電力消耗水平。

提及的組織：

• 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

目錄

• 1. 摘要
• 2. 背景
• 3. 電力及光纖相關主要觀點
• 4. 暗示與建議
• 5. 附錄

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)