--- 格式版本: 2 标题: "NVIDIA CEO highlights importance of plumbers and electricians in AI infrastructure | Angel Say posted on the topic | LinkedIn" 原文链接: "https://www.linkedin.com/posts/sayangel_i-was-listening-to-a-podcast-interview-with-activity-7462202982709993472-mr_r" 发布日期: "2026-05-18" 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:original_script_field" 发布时间证据: "datePublished: 2026-05-18T18:10:32.082Z" 发布时间校准原因: "该候选为文章脚本中的datePublished字段,符合文章发布时间优先级规则,且无其他更优先的标题附近日期。" 发布时间校准置信度: "1" 发布时间候选数量: 5 发布时间严格候选数量: 0 发布时间原页读取状态: "原页面已读取" 发布时间未找到原因: "" 发布时间校准时间: "2026-07-24T19:09:22+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: 5577 发现时间: "2026-06-15T16:17:27+08:00" 入库时间: "2026-07-24T11:09:29.392Z" 来源平台: "SerpApi Google" 搜索渠道: "serpapi" 搜索词: "Steve Fields NVIDIA AI Rack" 匹配关键词: [] 相关厂家: - "NVIDIA" 相关专家: [] 内容类型: "网页" 抓取工具: "XCrawl Scrape" 清洗工具: "XCrawl Markdown + LLM 正文裁剪(重试成功)" 原始附件: [] AI优质: "否" AI打分: 12 AI分档: "非优质" AI质检状态: "不通过" AI打分理由: "正文为LinkedIn个人帖子,引用黄仁勋关于管道工和电工瓶颈的泛泛观点,未涉及超节点/AI Rack/机柜级系统等具体技术或商业信息,无技术细节、架构、参数或落地信号,属于低价值泛泛评论。" AI质检模型: "deepseek-v4-flash" AI质检时间: "2026-07-24T19:44:04+08:00" AI主题相关性: 5 AI来源权威性: 3 AI新颖性: 2 AI技术细节: 0 AI商业部署信号: 0 AI完整性: 2 采集批次: "2026年6月15日16点12分12秒" 采集批次ID: "20260615-161212-183" 去重键: "https://www.linkedin.com/posts/sayangel_i-was-listening-to-a-podcast-interview-with-activity-7462202982709993472-mr_r" --- I was listening to a podcast interview with Jensen Huang of [NVIDIA](https://www.linkedin.com/company/nvidia?trk=public_post-text) this weekend and he said one of the hardest bottlenecks to scaling AI infrastructure is... plumbers and electricians 🚰 ⚡ He frames the general problem as turning "electrons into tokens" and for that you need plumbers and electricians to build the factories that make the chips and the factories that turns chips into tokens (data centers). These facilities need to be built, cooled, commissioned, and maintained. That's why working with the teams at the heart of delivering these MEP systems gets me excited to work on [Resolve](https://www.linkedin.com/company/resolvebim?trk=public_post-text) every morning. The "BIM 2.0" crowd loves to portray the future as AI-generated luxury high-rises and glass facades. But the future isn’t being built in a 40-story tower. It’s being built in data halls, substations, cleanrooms, and mechanical rooms. The unsexy parts of buildings are where the magic happens. And the people who understand those systems are helping us build the future. I want to help build software that helps them. …more Transcript It seems like some bottlenecks are easier than others. And so scaling up coaches versus scaling up, I went to the hardest one, by the way, which is plumbers. Yeah, that's true. Yeah. Yeah, I actually went to the hardest one. Yeah, yeah. Plumbers and electricians. And the reason for that is because, because, and this is one of the concerns that I have about about the the doomers. Describing the end of end of work and killing of jobs. And you know one of the things that that that if we discourage people from being software engineers. We're going to run our software engineers and, and the same prediction 10 years ago, some of the some of the doors were were saying that we're telling people, whatever you do, don't be a radiologist. And you might hear some of those, some of those videos are still on the web. You know, radiology is, is going to be the first career to go. Nobody's the world's not going to need anymore radiologist. Guess what, we're short of radiologists.