---
格式版本: 2
标题: "Unisys and Refroid partner on AI infrastructure deployment"
原文链接: "https://www.engineering.com/unisys-and-refroid-partner-on-ai-infrastructure-deployment/"
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: "rule:configured_publication_date_rule"
发布时间证据: "engineering-search-publication-date html:original: <time datetime=\"2026-08-24\""
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: 1
发布时间严格候选数量: 1
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: "2026-08-24T21:16:10+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: "2026-08-24T21:15:35+08:00"
入库时间: "2026-08-24T13:16:11.113Z"
来源平台: "Engineering.com 搜索"
搜索渠道: "source_template"
搜索词: "https://www.engineering.com/?s=AI%20Rack"
匹配关键词:
  - "AI Rack"
  - "deployment"
  - "AI"
  - "Liquid Cooling"
  - "Immersion"
  - "delivery"
  - "performance"
相关厂家:
  []
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: 63
AI分档: "召回候选"
AI质检状态: "通过"
AI打分理由: "内容为Unisys与Refroid合作新闻稿，涉及AI基础设施部署及液冷技术（直接芯片冷却、浸没式、CDU），与超节点相关主题相关但未涉及具体架构或产品，技术细节有限；来源为厂商新闻稿，权威性一般；合作与部署信号明确。"
AI质检模型: "ali-deepseek-v4-flash"
AI质检时间: "2026-08-24T21:16:24+08:00"
AI主题相关性: 14
AI来源权威性: 9
AI新颖性: 10
AI技术细节: 10
AI商业部署信号: 12
AI完整性: 8
AI摘要: "Unisys与Refroid Technologies达成合作，将后者的液体冷却技术与Unisys的全球现场服务及交付能力结合，帮助组织构建、部署和维护AI所需的高性能计算基础设施。"
AI摘要模型: "ali-deepseek-v4-flash"
AI摘要时间: "2026-09-07T02:11:09.088Z"
采集批次: "2026年8月24日20点07分54秒"
采集批次ID: "20260824-200754-071"
去重键: "https://www.engineering.com/unisys-and-refroid-partner-on-ai-infrastructure-deployment"
---

The partnership combines liquid cooling with global field services, commissioning, maintenance and technical workforce support.

[Unisys](https://edge.prnewswire.com/c/link/?t=0&l=en&o=4755866-1&h=497295209&u=https%3A%2F%2Fwww.unisys.com%2F&a=Unisys) and [Refroid Technologies](https://edge.prnewswire.com/c/link/?t=0&l=en&o=4755866-1&h=2508937299&u=https%3A%2F%2Fwww.refroid.com%2F&a=Refroid+Technologies) have partnered to help organizations build, deploy and maintain the high-performance computing infrastructure AI workloads require. The growth of AI is reshaping data center requirements and driving demand for solutions that support increasingly complex, energy-intensive computing environments. The partnership combines Refroid’s liquid cooling technologies with the [global field services](https://edge.prnewswire.com/c/link/?t=0&l=en&o=4755866-1&h=1530556726&u=https%3A%2F%2Fwww.unisys.com%2Fsolutions%2Fdws%2Ffield-services-and-support%2F&a=global+field+services) and delivery capabilities from Unisys, enabling organizations to maximize the performance and value of AI infrastructure investments.

Organizations have heavily invested in AI models, platforms and applications, but they are quickly recognizing that the physical infrastructure required to support AI is equally critical to long-term success. Gartner [forecasts](https://edge.prnewswire.com/c/link/?t=0&l=en&o=4755866-1&h=81485189&u=https%3A%2F%2Fwww.gartner.com%2Fen%2Fnewsroom%2Fpress-releases%2F2026-05-19-gartner-forecasts-worldwide-ai-spending-to-grow-47-percent-in-2026&a=forecasts) worldwide AI spending will reach $2.59 trillion in 2026, with AI infrastructure accounting for more than $1.4 trillion of that total. This underscores the growing importance of the technologies, services and support required to enable AI at scale. Through their partnership, Unisys and Refroid address evolving infrastructure demands and strengthen the foundation for AI growth.

Refroid brings expertise in direct-to-chip cooling, immersion cooling, coolant distribution units and hybrid load-bank technologies designed for high-performance computing environments. Unisys complements these capabilities with specialized field services designed for high-performance computing environments, including deployment, commissioning and validation support, technical workforce enablement, and AI-powered service management and lifecycle support services delivered through its [Digital Workplace Solutions](https://edge.prnewswire.com/c/link/?t=0&l=en&o=4755866-1&h=3417183016&u=https%3A%2F%2Fwww.unisys.com%2Fsolutions%2Fdws%2F&a=Digital+Workplace+Solutions). Additional benefits of the Unisys and Refroid partnership include:

- Simplified deployment and commissioning of AI-ready infrastructure environments.
- Improved efficiency across increasingly energy-intensive computing environments.
- Enhanced infrastructure reliability through global maintenance, technical support and lifecycle services.
- Strengthened workforce readiness through specialized technician training and field-service expertise.
- Expanded AI-powered service management capabilities to support emerging AI infrastructure requirements.

For more information, visit [unisys.com](https://www.unisys.com/).