--- 格式版本: 2 标题: "NVIDIA Certifies New Categories of Gen AI-Ready Systems | NVIDIA Blog" 原文链接: "https://blogs.nvidia.com/blog/nvidia-certified-systems-spectrum-x-igx/" 发布日期: "2026-06-30" 发布时间校准状态: "found" 发布时间来源: "llm:strict_original_body" 发布时间证据: "time class=related-news-date nvidia-article-date datetime=2026-06-30T08:00:57-07:00: Jun 30, 2026" 发布时间校准原因: "该日期位于标题下方，且带有 nvidia-article-date 类名，符合文章发布时间的特征。" 发布时间校准置信度: "100" 发布时间候选数量: 36 发布时间严格候选数量: 12 发布时间原页读取状态: "原页面来自已抓取 HTML" 发布时间未找到原因: "候选日期无效或 LLM 未确认" 发布时间校准时间: "2026-07-20T13:50:29+08:00" 发现时间: "2026-07-20T09:26:38+08:00" 入库时间: "2026-07-20T05:57:50.249Z" 来源平台: "NVIDIA Blog 搜索" 搜索渠道: "source_template" 搜索词: "https://blogs.nvidia.com/?s=QCT" 匹配关键词: [] 相关厂家: - "QCT" - "NVIDIA" - "Ingrasys" 相关专家: [] 内容类型: "网页" 抓取工具: "AgentKey Scrape" 清洗工具: "AgentKey Markdown + LLM 正文裁剪" 原始附件: [] 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: "NVIDIA官方发布，涉及Spectrum-X Ready系统和IGX边缘AI系统认证，提及QCT、Ingrasys等合作伙伴。但内容偏向通用AI基础设施认证和边缘计算，缺乏超节点/AI Rack/机柜级系统的具体架构、参数或部署细节，技…" AI质检模型: "qwen3.6-plus" AI质检时间: "2026-07-20T13:57:50+08:00" AI主题相关性: 12 AI来源权威性: 15 AI新颖性: 10 AI技术细节: 8 AI商业部署信号: 8 AI完整性: 5 图片摘要: - "✗ ./assets/img-83d2f103.jpg | decorative | 图片主题为AI基础设施能效（Performance per Watt），与本文Spectrum-X/IGX认证系统主题不符，属无关配图" - "✗ ./assets/img-1f6575f1.png | diagram | 图片主题为NVIDIA Vera CPU架构，与本文Spectrum-X/IGX认证系统主题不符" - "✗ ./assets/img-3511966c.jpg | photo | 图片为NVIDIA品牌标识实拍，属品牌宣传/装饰性配图，无具体认证信息" - "✗ ./assets/img-e47e99dc.png | other | 图片主题为推理软件栈与Token成本，与本文硬件认证主题不符" 采集批次: "2026年7月20日9点23分34秒" 采集批次ID: "20260720-092334-062" 去重键: "https://blogs.nvidia.com/blog/nvidia-certified-systems-spectrum-x-igx" --- Fueled by [generative AI](https://www.nvidia.com/en-us/glossary/generative-ai/), enterprises globally are creating “AI factories,” where data comes in and intelligence comes out. Critical to this movement are validated systems and reference architectures that reduce the risk and time involved in deploying specialized infrastructure that can support complex, computationally intensive generative AI workloads. At the [COMPUTEX](https://www.nvidia.com/en-us/events/computex/) trade show, NVIDIA today announced the expansion of its [NVIDIA-Certified Systems](https://www.nvidia.com/en-us/data-center/products/certified-systems/) program, which designates leading partner systems as suited for AI and accelerated computing, so customers can confidently deploy these platforms from the data center to the edge. Two new certification types are now included: NVIDIA-Certified [Spectrum-X](https://www.nvidia.com/en-us/networking/spectrumx/) Ready systems for AI in the data center and NVIDIA-Certified [IGX](https://www.nvidia.com/en-us/edge-computing/products/igx/) systems for AI at the edge. Each NVIDIA-Certified System undergoes rigorous testing and is validated to provide enterprise-grade performance, manageability, security and scalability for [NVIDIA AI Enterprise](https://www.nvidia.com/en-us/data-center/products/ai-enterprise/) software workloads, including generative AI applications built with [NVIDIA NIM](https://www.nvidia.com/en-us/ai/) inference microservices. The systems provide a trusted pathway to design and implement efficient, reliable infrastructure. ## NVIDIA-Certified Spectrum-X Ready Systems The world’s first Ethernet fabric built for AI, the NVIDIA Spectrum-X AI Ethernet platform combines the [NVIDIA Spectrum-4](https://www.nvidia.com/en-us/networking/ethernet-switching/) SN5000 Ethernet switch series, [NVIDIA BlueField-3 SuperNICs](https://www.nvidia.com/en-us/networking/products/data-processing-unit/) and [networking acceleration software](https://www.nvidia.com/en-us/networking/ethernet-switching/) to deliver 1.6x AI networking performance over traditional Ethernet fabrics. NVIDIA-Certified Spectrum-X Ready servers will act as building blocks for high-performance AI computing clusters and support powerful [NVIDIA Hopper architecture](https://www.nvidia.com/en-us/data-center/technologies/hopper-architecture/) and [NVIDIA L40S](https://www.nvidia.com/en-us/data-center/l40s/) GPUs. ## NVIDIA-Certified IGX Systems [NVIDIA IGX Orin](https://www.nvidia.com/en-us/edge-computing/products/igx/) is an enterprise-ready AI platform for the industrial edge and medical applications that features industrial-grade hardware, a production-grade software stack and long-term enterprise support. It includes the latest technologies in device security, remote provisioning and management, along with built-in extensions, to deliver high-performance AI and proactive safety for low-latency, real-time applications in such areas as medical diagnostics, manufacturing, industrial robotics, agriculture and more. ## Expanding Partner Portfolio Top NVIDIA ecosystem partners are set to achieve the new certifications. ASUS, Dell Technologies, GIGABYTE, Hewlett Packard Enterprise, Ingrasys, Lenovo, QCT and Supermicro will soon offer NVIDIA-Certified Spectrum-X Ready systems. And NVIDIA-Certified IGX systems will soon be available from ADLINK, Advantech, Aetina, Ahead, Cosmo Intelligent Medical Devices (a division of Cosmo Pharmaceuticals), Dedicated Computing, Leadtek, Onyx and YUAN. *Learn more about* [*NVIDIA-Certified Systems*](https://www.nvidia.com/en-us/data-center/products/certified-systems/) *and the latest generative AI technologies by joining* [*NVIDIA at COMPUTEX*](https://www.nvidia.com/en-us/events/computex/)*.* *Watch NVIDIA founder and CEO Jensen Huang’s* *COMPUTEX keynote* *in replay:* NVIDIA CEO Jensen Huang Keynote at COMPUTEX 2024 - YouTube NVIDIA 2.23M subscribers