--- 格式版本: 2 标题: "Nscale and Figure partner on humanoid robot AI computing" 原文链接: "https://www.engineering.com/nscale-and-figure-partner-on-humanoid-robot-ai-computing/" 发布日期: "2026-09-04" 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:strict_original_body" 发布时间证据: "September 4, 2026" 发布时间校准原因: "正文标题附近明确标注的文章发布时间为 September 4, 2026，符合发布日期判定规则，无排除特征。" 发布时间校准置信度: "1" 发布时间候选数量: 13 发布时间严格候选数量: 3 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: "2026-09-04T20:40:23+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: 6475 发现时间: "2026-09-04T20:38:32+08:00" 入库时间: "2026-09-04T12:40:29.587Z" 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" - "AI" - "Vera Rubin" - "deployment" - "performance" 相关厂家: - "NVIDIA" 相关专家: [] 内容类型: "网页" 抓取工具: "Jina Reader" 清洗工具: "Jina Reader Markdown + Defuddle/Readability 正文提取" 原始附件: [] AI优质: "是" AI打分: 75 AI分档: "高置信优质" AI质检状态: "通过" AI打分理由: "正文主线是Nscale与Figure签订下一代AI算力战略合作，计划自2027年下半年在得州部署Vera Rubin平台，规模最高10万块GPU，并披露35亿美元初始承诺及扩至60亿美元的意向。Engineering.com属于专业工程媒体，报道简短但主体、动作、时间、地点、平台和金额完整。历史证据仅表明Vera Rubin架构此前已公开，未覆盖本次Figure客户合作、部署规模和投资时间表；新增事实可核验。技术层面仅有平台、算力编排及训练到部署的概括，缺少机架拓扑、互连、功耗和散热规格。命中下一代平台的大规模客户部署通道，且明确数量、金额和时间表，解除单一客户采用成熟平台否决。" AI质检模型: "gpt-5.6-sol" AI质检时间: "2026-09-08T16:37:52+08:00" AI主题相关性: 15 AI来源权威性: 11 AI新颖性: 19 AI技术细节: 6 AI商业部署信号: 15 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.89" AI评分知识库SHA256: "d189746fc3aa9b189a3266c4540ac047c6c2d69b60f1544fdbc17f4bf8d040c2" AI评分知识库检索词: "[\"NVIDIA\",\"AI Rack\",\"Vera Rubin\",\"deployment\",\"performance\",\"https://www.engineering.com/?s=AI%20Rack\",\"Rubin\",\"RAS\",\"GPU\",\"Intel\",\"URL\",\"IT\"]" AI评分知识库命中: "[{\"id\":\"runtime-0fa5f6513e1d75f79b9b89e6\",\"title\":\"https://www.datacenterknowledge.com/ai-data-centers/ai-rack-density-s-real-limits-power-cooling-failure-risk\",\"sourceType\":\"ai_excellent_article\",\"time\":\"2026-08-28\",\"matchedTerms\":[\"NVIDIA\",\"AI Rack\",\"Vera Rubin\",\"deployment\",\"performance\",\"Rubin\",\"RAS\",\"GPU\",\"IT\"],\"rank\":-16.283626795129763},{\"id\":\"july-correct-0034\",\"title\":\"AMD Fires Back at Nvidia with Helios AI System, Epyc CPUs\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"NVIDIA\",\"Vera Rubin\",\"performance\",\"Rubin\",\"RAS\",\"GPU\",\"Intel\",\"URL\",\"IT\"],\"rank\":-15.789342360892995},{\"id\":\"july-correct-0095\",\"title\":\"Inside NVIDIA Rubin GPU Architecture: Powering the Era of Agentic AI\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"NVIDIA\",\"Vera Rubin\",\"deployment\",\"performance\",\"Rubin\",\"RAS\",\"GPU\",\"Intel\",\"URL\",\"IT\"],\"rank\":-15.313860700024785},{\"id\":\"july-correct-0062\",\"title\":\"Why AI Racks Need an Open Signal Conditioning Standard\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"NVIDIA\",\"AI Rack\",\"Vera Rubin\",\"deployment\",\"Rubin\",\"RAS\",\"GPU\",\"URL\",\"IT\"],\"rank\":-14.371098956461623},{\"id\":\"july-correct-0033\",\"title\":\"Microsoft, Alphabet, Meta Pivot from Buy to Build in AI\",\"sourceType\":\"labeled_article\",\"time\":\"2026-07\",\"matchedTerms\":[\"NVIDIA\",\"Vera Rubin\",\"deployment\",\"performance\",\"Rubin\",\"RAS\",\"GPU\",\"URL\",\"IT\"],\"rank\":-14.211575122369629}]" 采集批次: "2026年9月4日19点09分47秒" 采集批次ID: "20260904-190947-e38cdb0b" 去重键: "https://www.engineering.com/nscale-and-figure-partner-on-humanoid-robot-ai-computing" --- Title: Nscale and Figure partner on humanoid robot AI computing URL Source: 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Nscale announced it has signed a multi-year strategic partnership with humanoid robotics company Figure. The deal represents the potential to deploy the[NVIDIA Vera Rubin](https://www.nvidia.com/en-us/data-center/technologies/rubin/)platform with up to 100,000 NVIDIA GPUs. The initial GPUs are targeted for deployment starting the second half of 2027 in Barstow, Texas, with an initial commitment of $3.5 billion of compute and the intent to scale to over $6 billion. Nscale will become a Figure shareholder and Figure’s preferred compute provider, powering the next generation of Figure’s Helix models and its humanoid robotics. ![Image 47](https://www.engineering.com/wp-content/uploads/2026/09/DSC_1446-1-1.jpg) Nscale and Figure Sign Strategic Partnership to Power the Next Generation of Physical AI. As part of the agreement, Nscale is also making a strategic investment in Figure. The partnership reflects a shared approach to vertically integrated AI: Nscale provides the power, compute platform, and orchestration layer while integrating NVIDIA’s advanced AI infrastructure to ensure that Figure’s models – from training to deployment – run with maximum efficiency and performance. As part of the partnership, the parties will also explore the potential to scale Nscale’s supply chain with humanoids. For more information, visit [nscale.com](https://www.nscale.com/). 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