--- 格式版本: 2 标题: "Alibaba Cloud Named a Leader in Cloud AI Infrastructure Report" 原文链接: "https://www.alibabacloud.com/blog/alibaba-cloud-named-a-leader-in-cloud-ai-infrastructure-report_603497" 发布日期: "2026-08-25" 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: "alibaba-cloud-news-publication-date html:original: Alibaba Cloud Community August 25, 2026" 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: "2026-08-25T17:58:04+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: "2026-08-25T17:57:20+08:00" 入库时间: "2026-08-25T09:58:04.070Z" 来源平台: "固定入口" 搜索渠道: "fixed_url" 搜索词: "https://www.alibabacloud.com/blog" 匹配关键词: - "AI" - "WAIC" - "deployment" - "performance" 相关厂家: - "阿里" 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: 35 AI分档: "非优质" AI质检状态: "不通过" AI打分理由: "内容为阿里云获Gartner云AI基础设施领导者象限的官方宣传，未涉及超节点、AI Rack、机柜级架构、供电散热或具体技术参数，缺乏实质技术细节与部署信号，属泛宣传稿。" AI质检模型: "ali-deepseek-v4-flash" AI质检时间: "2026-08-25T17:58:10+08:00" AI主题相关性: 5 AI来源权威性: 15 AI新颖性: 5 AI技术细节: 2 AI商业部署信号: 3 AI完整性: 5 图片摘要: - "✓ ./assets/img-bc5f6aa9.webp | other | O1CN01KuL29kCEKPE2R3sb_!!6000000007423-2" AI摘要: "阿里云成为Gartner首次发布的云AI基础设施魔力象限报告中的领导者，被认为具备从高性能基础设施到AI模型与智能体开发平台的全栈AI能力；该公司同时在该机构可观测性平台魔力象限中被评为挑战者。" AI摘要模型: "ali-deepseek-v4-flash" AI摘要时间: "2026-09-07T02:09:43.616Z" 采集批次: "2026年8月25日17点27分36秒" 采集批次ID: "20260825-172736-501" 去重键: "https://www.alibabacloud.com/blog/alibaba-cloud-named-a-leader-in-cloud-ai-infrastructure-report_603497" --- **HANGZHOU, China, August 25, 2026** – Alibaba Cloud, a global leading provider of AI infrastructure and the intelligence backbone of Alibaba Group, has been named a Leader in the Gartner® Magic Quadrant™ for Cloud AI Infrastructure report. Alibaba Cloud believes this recognition shows its full-stack AI capabilities across a range of services from high-performance infrastructure to AI model and agent development platforms, and pretrained foundation models. The report evaluates hyperscale vendors and specialist cloud providers “delivering infrastructure optimized for AI workloads including AI model training, inference and servicing”. This marks the first time Gartner has published a Magic Quadrant report on cloud AI infrastructure. “As AI transforms how businesses operate, companies need reliable infrastructure to scale. We are committed to a full-stack AI cloud ecosystem. By providing leading model as a service alongside AI-native tools and agentic cloud infrastructure, we make it easier for our global customers to seamlessly put AI to work,” said **Dr. Feifei Li, Chief Technology Officer and President of International Business of Alibaba Cloud Intelligence.** ![O1CN01KuL29kCEKPE2R3sb_!!6000000007423-2](./assets/img-bc5f6aa9.webp) Alibaba Cloud provides an end-to-end platform for AI life cycle management, with its infrastructure capabilities supported by AI development tools.PAI-Lingjun, a key component of Alibaba Cloud’s AI infrastructure offering, is a specialized compute platform optimized for large-scale training and inference workloads. As enterprises move to scale generative AI and agentic capabilities, demand is growing for cloud platforms that can support more complex AI workloads. Through Model Studio, Alibaba’s one-stop, enterprise-grade AI development platform offering access to its full suite of Qwen foundation models, customers can choose the model approach that best fits their performance, cost and deployment requirements. In a separate report, the Gartner® Magic Quadrant™ for Observability Platforms, Alibaba Cloud was named a Challenger. Gartner defines observability platforms as products that help organizations understand and optimize the health, performance and behavior of applications, services, infrastructure and AI agents, as well as user experience. These platforms detect anomalies and identify root causes to enable early remediation of system issues. According to Gartner, Challengers demonstrate broad market reach and large observability platform deployments. Alibaba Cloud’s continuous development in AI infrastructure reflects its unwavering commitment to long-term technological innovation with its “AI+Cloud” strategy, which brings together proprietary chips, cloud infrastructure, foundation models and applications under a single full-stack offering. During the World Artificial Intelligence Conference (WAIC) 2026 in July, Alibaba Cloud introduced [a suite of agent-native technologies](https://www.alizila.com/alibaba-cloud-unveils-agent-native-innovations-at-waic-2026/) aimed at accelerating the development and deployment of AI agents across industries. --- *Gartner, Magic Quadrant for Cloud AI Infrastructure, By [Dennis Smith](https://www.gartner.com/analyst/bdc901b97b), [Alessandro Galimberti](https://www.gartner.com/analyst/b9c802bf7cae), [Ed Anderson](https://www.gartner.com/analyst/bcc803b97f), [Carolin Zhou](https://www.gartner.com/analyst/b9c905bd7ca1), [Wataru Katsurashima](https://www.gartner.com/analyst/bfce02bf73), [Ashish Banerjee](https://www.gartner.com/analyst/b9c909bb7ba1), 6 July 2026* *Gartner, Magic Quadrant for Observability Platforms, By [Padraig Byrne](https://www.gartner.com/analyst/bfcf02bb78), [Martin Caren](https://www.gartner.com/analyst/b9c801b479a7), [D.B. Cummings](https://www.gartner.com/analyst/b9c801b572ae), [Neil Young](https://www.gartner.com/analyst/b9cb04b87da0), 13 July 2026* *Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose Gartner and Magic Quadrant are trademarks of Gartner, Inc., and/or its affiliates.This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document.*