--- 格式版本: 2 标题: "Equinix looks to disrupt network-as-a-service with Fabric One offering" 原文链接: "https://www.sdxcentral.com/news/equinix-looks-to-disrupt-network-as-a-service-with-fabric-one-offering/" 发布日期: "2026-09-03" 发布时间校准状态: "found" 发布时间需复核: "否" 发布时间来源: "rule:configured_publication_date_rule" 发布时间证据: "sdxcentral-article-intro-date html:original:" 发布时间校准原因: "信源发布日期识别规则直接确认发布时间" 发布时间校准置信度: "high" 发布时间候选数量: 2 发布时间严格候选数量: 2 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: "2026-09-06T04:29:01+08:00" 发布时间仲裁状态: "skipped" 发布时间仲裁尝试次数: 0 发布时间仲裁耗时毫秒: 0 发现时间: "2026-09-06T04:14:49+08:00" 入库时间: "2026-09-05T20:30:07.072Z" 来源平台: "SDxCentral 新闻发现" 搜索渠道: "source_template" 搜索词: "https://www.sdxcentral.com/news/?page=1" 匹配关键词: - "latency" - "AI" 相关厂家: - "NVIDIA" - "AWS" - "Google" 相关专家: [] 内容类型: "网页" 抓取工具: "Free Fetch + Defuddle" 清洗工具: "Defuddle Markdown + Defuddle/Readability 正文提取" 原始附件: [] AI优质: "否" AI打分: 50 AI分档: "非优质" AI质检状态: "不通过" AI打分理由: "正文主线是Equinix新推出的企业多云NaaS服务Fabric One，而非超节点、AI Rack或机架级AI基础设施。SDxCentral属于专业媒体，报道完整并包含厂商及AWS、Google Cloud引语。固定知识库未发现Fabric One同事件，但未命中不能证明首次出现；本文可核验新增包括意图驱动的自动编排、采用开放互连规范与OpenAPI 3.0、2026年稍晚进入测试及2027年在北美开始GA。技术内容集中于路由、云连接、加密和故障切换，未提供机架拓扑、带宽、功耗、互连或规模部署数据，也无客户、订单或生产部署。未命中超节点高价值准入通道，属于与分布式AI相关但以通用网络服务为主的产品报道。" AI质检模型: "gpt-5.6-sol" AI质检时间: "2026-09-08T16:38:40+08:00" AI主题相关性: 4 AI来源权威性: 11 AI新颖性: 14 AI技术细节: 7 AI商业部署信号: 5 AI完整性: 9 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.90" AI评分知识库SHA256: "5813d550aaf94fe0398b47ae50ba9c048a1fd96dc69e94eb1de62035d44f239d" AI评分知识库检索词: "[\"NVIDIA\",\"AWS\",\"Google\",\"latency\",\"https://www.sdxcentral.com/news/?page=1\",\"RAS\",\"Intel\",\"APIs\",\"VP\"]" AI评分知识库命中: "[{\"id\":\"runtime-5581f72bc66fda8e6c6bf711\",\"title\":\"Advancing Standards-Based AI Fabric RAS Through COSMOS Integration\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-10\",\"matchedTerms\":[\"RAS\",\"Intel\",\"APIs\"],\"rank\":-12.523543145392942},{\"id\":\"july-correct-0033\",\"title\":\"Microsoft, Alphabet, Meta Pivot from Buy to Build in AI\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"NVIDIA\",\"AWS\",\"Google\",\"RAS\",\"APIs\"],\"rank\":-12.137993502964797},{\"id\":\"runtime-613d1ef67a8028d2dc2916c4\",\"title\":\"https://www.datacenterknowledge.com/data-center-hardware/nvidia-mediatek-bring-custom-chips-to-ai-racks\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-31\",\"matchedTerms\":[\"NVIDIA\",\"AWS\",\"Google\",\"RAS\",\"Intel\"],\"rank\":-12.025904619995918},{\"id\":\"historical-jun-069\",\"title\":\"美国AMD与TCS合作在印度推出AI数据中心蓝图\",\"sourceType\":\"curated_item\",\"time\":\"2026-06\",\"matchedTerms\":[\"NVIDIA\",\"AWS\",\"Google\"],\"rank\":-10.322486303717955},{\"id\":\"historical-jan-apr-02\",\"title\":\"二、Google Cloud Next '26：AI Hypercomputer 与第八代 TPU 发布\",\"sourceType\":\"curated_item\",\"time\":\"2026-01_to_2026-04\",\"matchedTerms\":[\"NVIDIA\",\"Google\",\"Intel\"],\"rank\":-10.2594742828603}]" 采集批次: "2026年9月6日4点02分23秒" 采集批次ID: "20260906-040223-3050c981" 去重键: "https://www.sdxcentral.com/news/equinix-looks-to-disrupt-network-as-a-service-with-fabric-one-offering" --- ![Equinix](https://media.datacenterdynamics.com/media/images/GettyImages-1989480672.2e16d0ba.fill-1000x300.jpg) – Getty Images Equinix unveiled a managed connectivity service it hopes will simplify how enterprises connect distributed environments. The service, dubbed Fabric One, leverages specifications developed by Amazon Web Services (AWS) and Google Cloud to determine networking connectivity requirements. A dedicated portal provides the means for customers to state their request, and a combination of APIs and automation workflows can automatically orchestrate and manage everything from routing and cloud connectivity to encryption and failovers. ![An Equinix graphic detailing the customer-journey for its Fabric One offering](https://media.datacenterdynamics.com/media/images/Equinix-Fabric-One-customer-journey.width-358.jpg) Equinix detailing the Fabric One customer-journey – Equinix "For decades, enterprise networks have been built one connection at a time for each partner and provider they depend on. That approach doesn't scale in a world of distributed AI that demands dynamic, flexible, and real-time connectivity," Equinix Chief Product Officer Chris Audie explained. "Equinix Fabric One will reduce the complexity that's slowing enterprises down by automatically managing connectivity across distributed architectures, based on the customer's intent." Enterprises today connect to multiple cloud and AI services across increasingly disparate locations. Network-as-a-service (NaaS) vendors like Megaport, Nile, and Alkira have long sought to provide the multicloud means – despite Gartner placing NaaS firmly in its “ [trough of disillusionment](https://www.sdxcentral.com/analysis/network-as-a-service-and-the-trough-of-disillusionment/).” Equinix’s Fabric One sees the colocation giant push into direct competition, leaning on its experience as a physical juggernaut with integrated facilities, adding a sprinkling of AI automation to greatly reduce the need for human intervention. Also tying its multivendor AI and cloud routing offering together is the promise of it being built on top of open connectivity specifications. Equinix tapped OpenAPI 3.0 in a bid to “preserve choice and interoperability” across customers’ distributed environments, without the need to rely on proprietary platform layers. “Customers shouldn't have to figure out how to connect across multiple clouds and AI environments on their own. They should just define what they need and have it work,” Robert Kennedy, VP of AWS’ network services, noted. “Fabric One builds on the open interconnect specification that AWS and Google Cloud helped define and deliver exactly that. A managed service that handles the complexity so customers can focus on their AI workloads, not how everything connects.” "Cross-cloud interoperability is the backbone of the AI era," Rob Enns, Google Cloud’s VP of engineering for cloud networking, added. “We helped establish the open interconnect specification so enterprises no longer have to manage the complexity of multicloud networking. By combining Google Cloud's Cross-Cloud Network capabilities with Equinix Fabric One, we are giving customers an automated, intent-driven network that lets them quickly deploy distributed AI workloads.” Fabric One will enter beta later this year, with general availability planned to begin in North America in 2027. Equinix also launched its [Inference Exchange](https://newsroom.equinix.com/2026-09-02-Equinix-Accelerates-AI-Inference-for-Enterprises-with-NVIDIA-and-Together-AI) distributed platform that was developed alongside Nvidia and Together AI. The distributed AI inference program provides enterprises connections to inference providers across major metros via its flagship Fabric platform. Both launches add to Equinix’s increasingly interconnected portfolio as it bids to meet customer demand for distributed AI workloads. Last September, it launched a dedicated [distributed AI infrastructure platform](https://www.sdxcentral.com/news/equinix-launches-distributed-ai-infrastructure-platform/), which included a Fabric Intelligence tool capable of routing AI workloads to optimal locations based on latency, compliance, and cost requirements. Equinix then supplemented that with a [Distributed AI Hub platform](https://www.sdxcentral.com/news/equinix-launches-vendor-neutral-distributed-ai-hub-to-bring-inference-closer-to-the-edge/) to provide private, low-latency connections between enterprises and AI providers. The AI–centric updates were then joined by the [Fabric Intelligence](https://www.sdxcentral.com/news/equinixs-fabric-super-agent-lets-you-configure-your-network-via-slack/) agentic-infused operational layer for managing network infrastructure, which Equinix said provides means to dynamically respond to workload changes in network operations.