--- 格式版本: 2 标题: "ITU backs Japanese framework for low-latency all-photonic networks" 原文链接: "https://www.sdxcentral.com/news/itu-backs-japanese-framework-for-low-latency-all-photonic-networks/" 发布日期: "2026-08-24" 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: "August 24, 2026 ByBen WodeckiHave your say" 发布时间校准原因: "该日期紧邻标题和作者署名，是文章明确标注的发布时间，优先级最高，且非事件日期。" 发布时间校准置信度: "1" 发布时间候选数量: 36 发布时间严格候选数量: 13 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: "2026-08-29T10:45:40+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: 6034 发现时间: "2026-08-29T10:40:21+08:00" 入库时间: "2026-08-29T02:46:08.204Z" 来源平台: "SDxCentral 搜索" 搜索渠道: "source_template" 搜索词: "site:sdxcentral.com latency" 匹配关键词: - "latency" - "AI" 相关厂家: - "Meta" 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: [] 图片摘要: - "✓ ./assets/img-ca27c130.png | other | " - "✓ ./assets/img-2ff76442.jpg | other | " - "✓ ./assets/img-4c4eb4fb.webp | other | " - "✓ ./assets/img-ace71cbc.jpg | other | " - "✓ ./assets/img-76addfa3.jpg | other | " - "✓ ./assets/img-d7113de0.webp | other | " - "✓ ./assets/img-61465a4a.jpg | other | " - "✓ ./assets/img-ea726b93.jpg | other | " - "✓ ./assets/img-bca435ad.webp | other | " - "✓ ./assets/img-e408dc8f.webp | other | " AI优质: "否" AI打分: 58 AI分档: "召回候选" AI质检状态: "不通过" AI打分理由: "正文主线是跨运营商全光网络框架获ITU-T国际标准支持，涉及低时延、节能连接及分布式GPU广域互连，但并非机架级AI基础设施。来源为专业网络媒体，新增事实是ITU-T批准该框架并披露功能架构Recommendation计划于2028年10月推进；固定知识库未见同事件，但未命中不能证明首次。文章缺少标准编号、完整规范、量化性能和商业部署数据，仅有测试床、合作及概念性应用背景，因此未充分命中正式标准高价值通道，作为召回候选保留。" AI质检模型: "gpt-5.6-sol" AI质检时间: "2026-08-29T10:46:17+08:00" AI主题相关性: 10 AI来源权威性: 11 AI新颖性: 15 AI技术细节: 8 AI商业部署信号: 6 AI完整性: 8 AI评分提示词版本: "v17-精简生产版" AI评分提示词SHA256: "48fb9777f386026761b4873eaff30807694fb11e9b352d7c69bf2dfde750cc7d" AI评分知识库版本: "knowledge_base_v1-20260819+runtime.53" AI评分知识库SHA256: "4fcd6d53a16f56063efcfb4a47c89832a62c826f84d2abb3ce64c62a46d9fa61" AI评分知识库检索词: "[\"latency\",\"site:sdxcentral.com latency\",\"RAS\",\"GPU\",\"Meta\",\"ITU\",\"URL\",\"SDxCentral\",\"LDN\",\"www.xceleratedcompute.com/london/2026\",\"MEX\",\"www.xceleratedcompute.com/cancun/2026\"]" AI评分知识库命中: "[{\"id\":\"runtime-5095d81c147567ab9111181d\",\"title\":\"Meta’s custom transport protocol embraces packet chaos to boost AI throughput\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-25\",\"matchedTerms\":[\"latency\",\"RAS\",\"GPU\",\"Meta\",\"URL\",\"SDxCentral\",\"LDN\",\"www.xceleratedcompute.com/london/2026\",\"MEX\",\"www.xceleratedcompute.com/cancun/2026\"],\"rank\":-28.94811567560482},{\"id\":\"runtime-3dcabc270e938e0c3b6d5245\",\"title\":\"Nvidia wants to bypass the CPU with an open-source AI storage overhaul\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-06\",\"matchedTerms\":[\"RAS\",\"GPU\",\"Meta\",\"URL\",\"SDxCentral\",\"LDN\",\"www.xceleratedcompute.com/london/2026\",\"MEX\",\"www.xceleratedcompute.com/cancun/2026\"],\"rank\":-27.185157440440925},{\"id\":\"runtime-b175fab8e5f6873dd59a7e63\",\"title\":\"Marvell targets AI memory woes with inference-boosting Bravera controller\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-05\",\"matchedTerms\":[\"latency\",\"RAS\",\"GPU\",\"Meta\",\"URL\",\"SDxCentral\",\"LDN\",\"www.xceleratedcompute.com/london/2026\",\"MEX\",\"www.xceleratedcompute.com/cancun/2026\"],\"rank\":-26.71999596741403},{\"id\":\"runtime-bfe02a4bdf19930993595f4a\",\"title\":\"SK Hynix, Sandisk unveil first standard for high-bandwidth flash\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-04\",\"matchedTerms\":[\"latency\",\"RAS\",\"GPU\",\"Meta\",\"URL\",\"SDxCentral\",\"LDN\",\"www.xceleratedcompute.com/london/2026\",\"MEX\",\"www.xceleratedcompute.com/cancun/2026\"],\"rank\":-25.900415129764127},{\"id\":\"runtime-b8cb239421f6cc07f924a9d9\",\"title\":\"Ex-Aruba CTO unveils optical startup armed with $900M to scale AI interconnectivity\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-07\",\"matchedTerms\":[\"RAS\",\"GPU\",\"Meta\",\"URL\",\"SDxCentral\",\"LDN\",\"www.xceleratedcompute.com/london/2026\",\"MEX\",\"www.xceleratedcompute.com/cancun/2026\"],\"rank\":-24.058043470105368}]" AI摘要: "国际电信联盟标准化部门（ITU-T）将日本企业主导的低延迟全光网络（APN）框架批准为国际标准；该框架由KDDI、NTT、NEC等七家日本公司联合推动，旨在实现不同运营商APN之间的低延迟、节能连接。" AI摘要模型: "ali-deepseek-v4-flash" AI摘要时间: "2026-09-07T02:08:06.051Z" 采集批次: "2026年8月29日10点39分17秒" 采集批次ID: "20260829-103917-332" 去重键: "https://www.sdxcentral.com/news/itu-backs-japanese-framework-for-low-latency-all-photonic-networks" --- Title: ITU backs Japanese framework for low-latency all-photonic networks URL Source: https://www.sdxcentral.com/news/itu-backs-japanese-framework-for-low-latency-all-photonic-networks/ Markdown Content: This website uses cookies to ensure you get the best experience on our website. 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A total of seven Japanese firms are behind the framework, which aims to support low-latency and energy efficient connections between so-called all-photonic networks (APNs) run by different operators. [](https://media.datacenterdynamics.com/media/images/kddi_nr-1130_4681_img_01.original.png)![Image 4: Graphic depicting a conceptual use of Japanese carrier's APN framework](./assets/img-4c4eb4fb.webp) A conceptual use of Japanese carrier's APN framework– KDDI Corp Their efforts have been championed by the NTT-led Innovative Optical and Wireless Network Global Forum (IOWN Global Forum), which has sought to develop common technical documents on APN architecture and functional requirements. This latest win sees the ITU-T green light the framework as an international standard. But bringing the APN framework to life is far from over, with the Japanese giants working on a follow-up ITU-T Recommendation for the functional architecture piece, targeted for October 2028. Japanese telecom operators and equipment manufacturers like Fujitsu’s 1Finity and Rakuten Mobile are among the players backing APN designs, which use light over traditional electrons to transmit and process data from end to end. NTT CEO Akira Shimada [recently described](https://www.sdxcentral.com/news/ntt-in-all-photonics-pivot-as-earnings-look-beyond-mobile/) the APN concept as essential for the company’s AI infrastructure pivot shortly before its DoCoMo carrier brand [unveiled a testbed](https://www.sdxcentral.com/news/ntt-evolves-distributed-data-centers-with-photonics-drive/) to showcase distributed graphics processing units (GPUs) connected via a wide-area network using low-latency optical links. The ITU-T consensus won’t replace the Global Forum's technical work, but it does give the concept a shot at being adopted by operators outside Japan and the IOWN. That goal received a sizable boost when IOWN expanded its partnership with the Linux Foundation's Cloud Native Computing Foundation (CNCF). The [team up](https://www.sdxcentral.com/news/optical-networking-pushed-deeper-into-the-cloud-with-iown-linux-mou/) sees sees CNCF's work on composable hardware in disaggregated infrastructure (CoHDI) integrated into IOWN’s APN efforts. The concept saw further validation back in July when Taiwanese operator Chunghwa Telecom partnered with Fujitsu's 1Finity networking arm to expand APN applications across the country. Stay ahead of the latest networking channel trends. Subscribe to SDxCentral. [Create an Account to Subscribe Now](https://www.sdxcentral.com/create-your-free-sdx-central-account-today/)