---
格式版本: 2
标题: "Power Drives the AI Data Center Boom, but Connectivity Cannot be Overlooked"
原文链接: "https://www.datacenterknowledge.com/networking/power-drives-the-ai-data-center-boom-but-connectivity-cannot-be-overlooked"
发布日期: "2026-08-11"
发布时间校准状态: "found"
发布时间需复核: "否"
发布时间来源: "llm:local:strict_original_body"
发布时间证据: "Aug 11, 2026"
发布时间校准原因: "标题附近明确标注日期 Aug 11, 2026（strict_original_body），且正文中多次出现该日期，为最新最合理的发布时间。"
发布时间校准置信度: "1"
发布时间候选数量: 48
发布时间严格候选数量: 4
发布时间原页读取状态: "source template page reused from URL open"
发布时间未找到原因: ""
发布时间校准时间: "2026-08-12T03:42:50+08:00"
发布时间仲裁状态: "confirmed"
发布时间仲裁尝试次数: 1
发布时间仲裁耗时毫秒: 51973
发现时间: "2026-08-12T03:41:29+08:00"
入库时间: "2026-08-11T19:43:42.597Z"
来源平台: "Data Center Knowledge 搜索"
搜索渠道: "source_template"
搜索词: "https://www.datacenterknowledge.com/search?q=Vera%20Rubin"
匹配关键词:
  - "Vera Rubin"
  - "AI"
  - "latency"
  - "bandwidth"
相关厂家:
  - "NVIDIA"
  - "AWS"
  - "Google"
相关专家:
  []
内容类型: "网页"
抓取工具: "Jina Reader"
清洗工具: "Jina Reader Markdown + Defuddle/Readability 正文提取"
原始附件:
  []
AI优质: "否"
AI打分: 34
AI分档: "非优质"
AI质检状态: "不通过"
AI打分理由: "标题涉及AI数据中心电力和光互连，但正文仅泛泛而谈，无具体超节点/机柜级架构、参数、量产或专家观点，技术细节和商业信号缺失，正文不完整。"
AI质检模型: "ali-deepseek-v4-flash"
AI质检时间: "2026-08-12T03:43:48+08:00"
AI主题相关性: 8
AI来源权威性: 12
AI新颖性: 6
AI技术细节: 3
AI商业部署信号: 2
AI完整性: 3
采集批次: "2026年8月12日2点04分20秒"
采集批次ID: "20260812-020420-289"
去重键: "https://www.datacenterknowledge.com/networking/power-drives-the-ai-data-center-boom-but-connectivity-cannot-be-overlooked"
---

Title: Power Drives the AI Data Center Boom, but Connectivity Cannot be Overlooked

URL Source: https://www.datacenterknowledge.com/networking/power-drives-the-ai-data-center-boom-but-connectivity-cannot-be-overlooked

Published Time: 2026-05-06T19:46:37.000Z

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# Power Drives the AI Data Center Boom, but Connectivity Cannot be Overlooked

AI’s power demands are reshaping data centers, but without robust optical connectivity, these mega facilities risk becoming isolated islands, writes Sterling Perrin.

[![Image 18: Picture of Sterling Perrin](https://eu-images.contentstack.com/v3/assets/blt8eb3cdfc1fce5194/blt52f3dfc8a2488fa2/69fb9acbd1cc63193dea4b33/Sterling-Perrin.jpg?width=100&auto=webp&quality=80&disable=upscale)](https://www.datacenterknowledge.com/author/sterling-perrin)[![Image 19: Picture of Industry Perspectives](https://eu-images.contentstack.com/v3/assets/blt8eb3cdfc1fce5194/blt597bab584f8380cc/6659dd5ca827970e09f7a97a/DCK_IP.png?width=100&auto=webp&quality=80&disable=upscale)](https://www.datacenterknowledge.com/author/industry-perspectives)

[Sterling Perrin,](https://www.datacenterknowledge.com/author/sterling-perrin)[Industry Perspectives](https://www.datacenterknowledge.com/author/industry-perspectives)
May 6, 2026

3 Min Read

![Image 20: Fiber-optic cables in a data center](https://eu-images.contentstack.com/v3/assets/blt8eb3cdfc1fce5194/blta7817bad269fe03c/69fb9c6250f9294b9dc9f68f/Fiber-Optic-Data-Center.jpg?width=1280&auto=webp&quality=80&disable=upscale)

Hyperscale AI clusters require up to a gigawatt of power and 800 Gbps+ optical connectivity to operate as unified systems across multiple facilities.Image: Alamy

[](http://www.facebook.com/sharer/sharer.php?u=https://www.datacenterknowledge.com/networking/power-drives-the-ai-data-center-boom-but-connectivity-cannot-be-overlooked)[](https://www.linkedin.com/sharing/share-offsite/?url=https://www.datacenterknowledge.com/networking/power-drives-the-ai-data-center-boom-but-connectivity-cannot-be-overlooked)[](http://www.twitter.com/intent/tweet?url=https://www.datacenterknowledge.com/networking/power-drives-the-ai-data-center-boom-but-connectivity-cannot-be-overlooked)[](https://www.reddit.com/submit?url=https://www.datacenterknowledge.com/networking/power-drives-the-ai-data-center-boom-but-connectivity-cannot-be-overlooked&title=Power%20Drives%20the%20AI%20Data%20Center%20Boom%2C%20but%20Connectivity%20Cannot%20be%20Overlooked)[](https://bsky.app/intent/compose?text=Power%20Drives%20the%20AI%20Data%20Center%20Boom%2C%20but%20Connectivity%20Cannot%20be%20Overlooked%20-%20https%3A%2F%2Fwww.datacenterknowledge.com%2Fnetworking%2Fpower-drives-the-ai-data-center-boom-but-connectivity-cannot-be-overlooked)[](mailto:?subject=Power%20Drives%20the%20AI%20Data%20Center%20Boom,%20but%20Connectivity%20Cannot%20be%20Overlooked&body=I%20thought%20the%20following%20from%20DataCenterKnowledge%20might%20interest%20you.%0D%0A%0D%0A%20Power%20Drives%20the%20AI%20Data%20Center%20Boom%2C%20but%20Connectivity%20Cannot%20be%20Overlooked%0D%0Ahttps%3A%2F%2Fwww.datacenterknowledge.com%2Fnetworking%2Fpower-drives-the-ai-data-center-boom-but-connectivity-cannot-be-overlooked)

Data centers are at the epicenter of the AI super cycle. The infrastructure required for training and running AI models has fueled a historic demand for power, cooling, floor space, high-speed networking, and specialized compute.

At data center-focused trade shows, such as Metro Connect in Florida, power, cooling, and real estate (including financing) are front and center at the conference and in the corridors. Omdia forecasts that IT load power capacity will reach 314 GW globally in 2030 – a 2.9x increase in power compared today and driven predominantly by AI. Without reliable power, there can be no AI, so building and delivering power to these mega data centers is crucial.

Networking and specialized compute are also essential components in the AI revolution. To date, these topics are discussed and debated in different forums, such as at [Nvidia’s GTC](https://www.datacenterknowledge.com/data-center-chips/gtc-2026-nvidia-unveils-vera-rubin-ai-platform-eyes-1t-by-2027) or at OFC. With this separation, it is easy to miss how these essential components are all inter-related and often inter-dependent. Increasingly, data center operators will need to understand how networking and connectivity technologies will help – and hinder – their AI plans.

Related:[From Highways to Country Roads: How Backbone Networks Support AI Infrastructure](https://www.datacenterknowledge.com/networking/from-highways-to-country-roads-how-backbone-networks-support-ai-infrastructure)

## Scale Across: A New Paradigm for AI Connectivity

One example is the emerging use case called “scale across.” Coined in 2025 by Nvidia’s CEO Jensen Huang, scale across describes high-bandwidth connectivity between data centers specifically for AI backend workloads, including training as well as inference. This new DCI variant was a key theme at this year’s OFC as well as at the annual Optica Executive Forum held during that same week in March.

Why is scale across needed? It goes back to the enormous power demands of the AI GPUs.

Power requirements are becoming too large to be contained within a single facility. For example, while a large co-location data center may support 50-100 megawatts of IT load, next generation hyperscaler training clusters are being built and planned for a gigawatt of power, and even higher in some cases. These will be distributed, multi-facility campuses, sometimes spanning multiple electrical grids by necessity.

But to operate as a single cluster, high capacity (800 Gbps+), low latency, low jitter, and ultra-high availability optical connectivity between buildings will be required. This is what scale across aims to deliver.

## Power Demands Are Reshaping Data Center Infrastructure

In addition to scale across, access to power is driving a second trend that impacts connectivity: remote builds. In the US, historical hyperscaler and large colocation data center hubs are in places including Northern Virginia, Dallas/Ft. Worth, Northern California, and the Pacific Northwest.

Related:[AI Inference: The Next Stress Test for Global Data Center Infrastructure](https://www.datacenterknowledge.com/networking/ai-inference-the-next-stress-test-for-global-data-center-infrastructure)

But additional power in these regions is in short supply, making it costly and with wait times stretching from two to five years. As a result, the industry is witnessing an [explosion of massive data center projects](https://www.datacenterknowledge.com/data-center-site-selection/north-american-data-center-growth-shifts-toward-execution-not-expansion) in new locations – often rural – that have large tracts of land and timely access to reliable power. These include places like Lancaster, Pennsylvania, Memphis, Columbus, Ohia, rural Georgia, New Mexico, and many others.

All these locations require massive fiber-optic capacity to hub locations – otherwise the mega data centers will be stranded islands. Significantly, because these locations are chosen primarily for their access to power, fiber capacity rarely exists and distances to major metros run hundreds of kilometers, and sometimes up to 1,000km.

There is no question that the power demands of AI are the primary driver for data center builds today – whether it is building multi-site AI clusters for training or locating a gigawatt campus in remote Wyoming. These trends will surely continue, but as they do, fiber-optic connectivity must increasingly become a part of the planning equation.

Related:[Will Hollow-Core Fiber Change the Latency Rules of Data Center Networking?](https://www.datacenterknowledge.com/networking/will-hollow-core-fiber-change-the-latency-rules-of-data-center-networking-)

Earlier, I wrote that without power there can be no AI. But this statement needs to be amended: without power and optical connectivity, there can be no AI.

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## About the Authors

[![Image 21: Sterling Perrin](https://eu-images.contentstack.com/v3/assets/blt8eb3cdfc1fce5194/blt52f3dfc8a2488fa2/69fb9acbd1cc63193dea4b33/Sterling-Perrin.jpg?width=400&auto=webp&quality=80&disable=upscale)](https://www.datacenterknowledge.com/author/sterling-perrin)

[Sterling Perrin](https://www.datacenterknowledge.com/author/sterling-perrin)

Omdia

Sterling Perrin is Senior Principal Analyst, Optical Networks and Transport, GTM Telecom Insights and Advisory, Omdia.

Sterling has more than 25 years of experience in telecommunications as an industry analyst and journalist. He covers optical networking, including coherent optical systems, IP over DWDM, transport automation, and 5G transport.

Sterling joined Heavy Reading (now part of Omdia) after five years at IDC, where he served as lead optical networks analyst. In addition to chairing and moderating many Light Reading and Informa events, he is a past member of OFC’s Market Watch Committee. Sterling is a highly sought-after source among the business and trade press.

[See more from Sterling Perrin](https://www.datacenterknowledge.com/author/sterling-perrin)

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