--- 格式版本: 2 标题: "Forget Quantum? Why Photonic Data Centers Could Arrive First" 原文链接: "https://www.datacenterknowledge.com/ai-data-centers/forget-quantum-why-photonic-data-centers-could-arrive-first" 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: "候选c5是正文中标题附近明确标注的日期，优先级最高，且无其他更优先的发布时间标注。" 发布时间校准置信度: "1" 发布时间候选数量: 46 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: "2026-08-12T03:59:47+08:00" 发布时间仲裁状态: "confirmed" 发布时间仲裁尝试次数: 2 发布时间仲裁耗时毫秒: 78526 发现时间: "2026-08-12T03:57:42+08:00" 入库时间: "2026-08-11T20:01:05.928Z" 来源平台: "Data Center Knowledge 搜索" 搜索渠道: "source_template" 搜索词: "https://www.datacenterknowledge.com/search?q=throughput" 匹配关键词: - "throughput" - "AI" - "deployment" - "performance" - "latency" - "bandwidth" 相关厂家: - "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: 25 AI分档: "非优质" AI质检状态: "不通过" AI打分理由: "正文仅泛泛介绍光子数据中心概念，缺乏超节点、AI Rack、机柜级系统等具体技术或商业细节，内容短浅，无实质信息。" AI质检模型: "ali-deepseek-v4-flash" AI质检时间: "2026-08-12T04:01:13+08:00" AI主题相关性: 5 AI来源权威性: 8 AI新颖性: 5 AI技术细节: 2 AI商业部署信号: 0 AI完整性: 5 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/ai-data-centers/forget-quantum-why-photonic-data-centers-could-arrive-first" --- Title: Forget Quantum? Why Photonic Data Centers Could Arrive First URL Source: https://www.datacenterknowledge.com/ai-data-centers/forget-quantum-why-photonic-data-centers-could-arrive-first Published Time: 2026-01-30T10:00:00.000Z Markdown Content: [![Image 1: Informa Logo](https://www.datacenterknowledge.com/assets/informaLogoCross-SPlaD0EU.png)Informa TechTarget|](https://www.informatechtarget.com/) [AI Business](https://aibusiness.com/ "AI Business")[SearchDataCenter](https://www.techtarget.com/searchdatacenter/ "SearchDataCenter")[InformationWeek](https://www.informationweek.com/ "InformationWeek")[Light Reading](https://www.lightreading.com/ "Light Reading") [Explore our brands](https://www.informatechtarget.com/our-brands/)[An Informa TechTarget Publication](https://www.informatechtarget.com/) [Data Center Knowledge Resource Library](https://www.datacenterknowledge.com/resources)[Data Center World](https://datacenterworld.com/?_mc=%20itme_x_x_le_tsprtsnr_dckr_x_x-DCW20)[Online 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Why Photonic Data Centers Could Arrive First While fully functional photonic systems are not yet ready for deployment, ongoing research and development suggest their practical adoption may be imminent. [![Image 17: Picture of Christopher Tozzi](https://eu-images.contentstack.com/v3/assets/blt8eb3cdfc1fce5194/bltb80c8a754e05f0af/6613d88533fe26f3ee4e5204/christophertozzi_2.jpg?width=100&auto=webp&quality=80&disable=upscale)](https://www.datacenterknowledge.com/author/christopher-tozzi) [Christopher Tozzi,](https://www.datacenterknowledge.com/author/christopher-tozzi)Technology Analyst January 30, 2026 3 Min Read ![Image 18: new technology concept in black and white](https://eu-images.contentstack.com/v3/assets/blt8eb3cdfc1fce5194/blta6f61f83f0827903/697bbfd92c9e79286e4aec58/new_technology_concept_in_black_and_white.jpg?width=1280&auto=webp&quality=80&disable=upscale) Photonic systems excel in parallel processing, making them particularly well-suited for AI training and inference, where large-scale computations can be accelerated.Alamy [](http://www.facebook.com/sharer/sharer.php?u=https://www.datacenterknowledge.com/ai-data-centers/forget-quantum-why-photonic-data-centers-could-arrive-first)[](https://www.linkedin.com/sharing/share-offsite/?url=https://www.datacenterknowledge.com/ai-data-centers/forget-quantum-why-photonic-data-centers-could-arrive-first)[](http://www.twitter.com/intent/tweet?url=https://www.datacenterknowledge.com/ai-data-centers/forget-quantum-why-photonic-data-centers-could-arrive-first)[](https://www.reddit.com/submit?url=https://www.datacenterknowledge.com/ai-data-centers/forget-quantum-why-photonic-data-centers-could-arrive-first&title=Forget%20Quantum%3F%20Why%20Photonic%20Data%20Centers%20Could%20Arrive%20First)[](https://bsky.app/intent/compose?text=Forget%20Quantum%3F%20Why%20Photonic%20Data%20Centers%20Could%20Arrive%20First%20-%20https%3A%2F%2Fwww.datacenterknowledge.com%2Fai-data-centers%2Fforget-quantum-why-photonic-data-centers-could-arrive-first)[](mailto:?subject=Forget%20Quantum?%20Why%20Photonic%20Data%20Centers%20Could%20Arrive%20First&body=I%20thought%20the%20following%20from%20DataCenterKnowledge%20might%20interest%20you.%0D%0A%0D%0A%20Forget%20Quantum%3F%20Why%20Photonic%20Data%20Centers%20Could%20Arrive%20First%0D%0Ahttps%3A%2F%2Fwww.datacenterknowledge.com%2Fai-data-centers%2Fforget-quantum-why-photonic-data-centers-could-arrive-first) Photonic technologies are emerging as a realistic route to higher-throughput, more energy-efficient data centers – potentially well before general-purpose quantum machines become mainstream. Optical technologies already form the backbone of high-performance networking, and new photonic accelerators and components promise tangible gains in bandwidth, latency, and energy efficiency for AI workloads. Here’s what that means, what’s real today, and how operators can prepare for photonic infrastructure. ## What Is Photonic Computing? Photonics uses light to transmit and process data. Most data centers already rely on photonic technology for fiber-optic networking. The newer development is computing with light using photonic integrated circuits (PICs), which execute operations (often linear algebra) directly in the optical domain. This differs from: * Classical computing, which manipulates electrons on CMOS chips. * [Quantum computing](https://www.datacenterknowledge.com/next-gen-data-centers/quantum-leap-opinion-split-over-quantum-computing-s-medium-term-impact), which uses quantum mechanics. Some quantum systems use photons, but photonic computing does not require quantum effects and can be engineered to function much like specialized classical accelerators. Related:[How AI Distillation Rewrites Data Center Economics](https://www.datacenterknowledge.com/ai-data-centers/how-ai-distillation-rewrites-data-center-economics) ![Image 19: a diagram of a photonic integrated circuit](https://eu-images.contentstack.com/v3/assets/blt8eb3cdfc1fce5194/blt6c396cf0eaa937a3/697bbed5ffe55474db226746/PIC_ovaga.png?width=1400&auto=webp&quality=80&disable=upscale) A diagram of a photonic integrated circuit. (Credit: Ovaga Technologies) ## Why Photonics Matter for Data Centers When applied to computation, photonic systems offer four compelling advantages for data center workloads: Speed and Bandwidth: Photons move at the speed of light and aren’t limited by the resistive and capacitive effects that constrain electrons to metal interconnects. For this reason, photonic computers can move data faster and reduce latency rates for on-chip operations and chip-to-chip communication. Parallelism: Photonic computers lend themselves well to large-scale parallel processing (the ability to perform multiple computations at the same time). This is especially beneficial for AI training and inference, where parallelism accelerates throughput. Energy Efficiency: Photonic computers consume less power than conventional electronic devices. Greater efficiency also eases the burden on [data center cooling systems](https://www.datacenterknowledge.com/cooling/data-center-cooling-methods-costs-vs-efficiency-vs-sustainability). Compute Density: Photonics has the potential to pack more computing power into smaller chips, which could, in turn, lead to smaller computing devices and more efficient use of physical space in data centers. Taken together, these advantages position photonic computing to address some of the industry’s toughest challenges – such as [limited power availability](https://www.datacenterknowledge.com/energy-power-supply/how-hyperscale-ai-is-remaking-the-power-grid) and the [constraints on scaling capacity](https://www.datacenterknowledge.com/ai-data-centers/why-scale-out-data-center-architecture-falls-short-in-the-age-of-ai) for fast-growing AI workloads. If photonics technologies mature as expected, operators may meet performance targets with fewer racks and lower energy budgets, reducing the need for additional data center space while improving efficiency. Related:[Data Center Bandwidth Soars 330%, Driven by AI Demand](https://www.datacenterknowledge.com/networking/data-center-bandwidth-soars-330-driven-by-ai-demand) ## Are Photonic Data Centers Practical? While it’s easy to highlight the benefits of photonic computing, the real question is whether it’s ready for prime time. For now, the answer is a clear “not yet,” though momentum is building. In late 2025, scientists announced the development of [photonics-based computer memory devices](https://www.isi.edu/news/81186/scientists-create-ultra-fast-memory-using-light/)– a major step toward processing and storing data in photon form. Researchers have also made inroads in creating AI accelerators capable of executing [neural network operations with light](https://www.nature.com/articles/s44310-025-00088-z), and [academic interest in photonics’ potential](https://www.nature.com/articles/s42254-025-00843-3#:~:text=Multidimensional%20computing%20excels%20at%20high,scalability95%2C96%2C97.) to transform computing continues to grow. These developments don’t change the fact that no one has yet created a fully functional, general-purpose photonic computer for real-world deployment. However, they do suggest that practical photonic systems for data centers may be on the near horizon. ## What Photonic Computing Means for Facility Design If photonic computers begin entering data centers, the good news is photonic machines can generally use the same types of power and cooling systems as conventional computers. That said, operators may want to plan for targeted adjustments, including the following: Related:[Data Center Milestones: From ENIAC to Generative AI](https://www.datacenterknowledge.com/data-center-construction/8-milestones-in-data-center-history-1946-to-today) * Rethinking [rack dimensions and layouts](https://www.datacenterknowledge.com/servers/a-guide-to-server-rack-sizes-for-data-centers) to capitalize on high compute density, since some photonic computers may require less physical space. * Improving internal network connections, since slower links could become the bottleneck when computation takes place at breakneck speeds. It’s too early for operators to invest heavily in these changes today, but this guidance may shift later in the decade as photonic technologies mature. [](http://www.facebook.com/sharer/sharer.php?u=https://www.datacenterknowledge.com/ai-data-centers/forget-quantum-why-photonic-data-centers-could-arrive-first)[](https://www.linkedin.com/sharing/share-offsite/?url=https://www.datacenterknowledge.com/ai-data-centers/forget-quantum-why-photonic-data-centers-could-arrive-first)[](http://www.twitter.com/intent/tweet?url=https://www.datacenterknowledge.com/ai-data-centers/forget-quantum-why-photonic-data-centers-could-arrive-first)[](https://www.reddit.com/submit?url=https://www.datacenterknowledge.com/ai-data-centers/forget-quantum-why-photonic-data-centers-could-arrive-first&title=Forget%20Quantum%3F%20Why%20Photonic%20Data%20Centers%20Could%20Arrive%20First)[](https://bsky.app/intent/compose?text=Forget%20Quantum%3F%20Why%20Photonic%20Data%20Centers%20Could%20Arrive%20First%20-%20https%3A%2F%2Fwww.datacenterknowledge.com%2Fai-data-centers%2Fforget-quantum-why-photonic-data-centers-could-arrive-first)[](mailto:?subject=Forget%20Quantum?%20Why%20Photonic%20Data%20Centers%20Could%20Arrive%20First&body=I%20thought%20the%20following%20from%20DataCenterKnowledge%20might%20interest%20you.%0D%0A%0D%0A%20Forget%20Quantum%3F%20Why%20Photonic%20Data%20Centers%20Could%20Arrive%20First%0D%0Ahttps%3A%2F%2Fwww.datacenterknowledge.com%2Fai-data-centers%2Fforget-quantum-why-photonic-data-centers-could-arrive-first) ## About the Author [![Image 20: Christopher Tozzi](https://eu-images.contentstack.com/v3/assets/blt8eb3cdfc1fce5194/bltb80c8a754e05f0af/6613d88533fe26f3ee4e5204/christophertozzi_2.jpg?width=400&auto=webp&quality=80&disable=upscale)](https://www.datacenterknowledge.com/author/christopher-tozzi) [Christopher Tozzi](https://www.datacenterknowledge.com/author/christopher-tozzi) Technology Analyst Christopher Tozzi is a technology analyst with subject matter expertise in cloud computing, application development, open source software, virtualization, containers and more. He also lectures at a major university in the Albany, New York, area. His book, “For Fun and Profit: A History of the Free and Open Source Software Revolution,” was published by MIT Press. [See more from Christopher Tozzi](https://www.datacenterknowledge.com/author/christopher-tozzi) [![Image 21: Add as a preferred source on Google](https://eu-images.contentstack.com/v3/assets/blt8eb3cdfc1fce5194/blt2786692164e47749/69b46950fc6bd41335ba3b1b/google_preferred_source_badge_dark@2x.png?width=800&auto=webp&quality=80&disable=upscale)](https://google.com/preferences/source?q=https://www.datacenterknowledge.com/) ## Want more Data Center Knowledge stories in your Google search results? [Add Us Now](https://google.com/preferences/source?q=https://www.datacenterknowledge.com/) Subscribe to the Data Center Knowledge Newsletter Get analysis and expert insight on the latest in data center business and technology delivered to your inbox daily. 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