--- 格式版本: 2 标题: "NVIDIA Vera CPU Opens the Way for Agentic Scientific AI at Los Alamos National Laboratory | NVIDIA Blog" 原文链接: "https://blogs.nvidia.com/blog/nvidia-vera-cpu-los-alamos-national-laboratory/" 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: "该日期来自HTML metadata中的time标签，class包含nvidia-article-date，且位于标题附近，符合文章发布时间的特征。" 发布时间校准置信度: "1" 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: "2026-07-20T11:51:32+08:00" 发现时间: "2026-07-20T09:25:40+08:00" 入库时间: "2026-07-20T03:58:34.963Z" 来源平台: "NVIDIA Blog 搜索" 搜索渠道: "source_template" 搜索词: "https://blogs.nvidia.com/?s=Vera%20Rubin" 匹配关键词: - "Vera Rubin" - "GPU" 相关厂家: - "NVIDIA" 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: 42 AI分档: "非优质" AI质检状态: "不通过" AI打分理由: "正文主要讨论NVIDIA Vera CPU在洛斯阿拉莫斯国家实验室超算中的应用，未涉及超节点/AI Rack/机柜级AI基础设施、关键部件架构或相关部署信号，主题相关性低，且内容偏向传统超算而非AI基础设施。" AI质检模型: "qwen3.6-plus" AI质检时间: "2026-07-20T11:58:34+08:00" AI主题相关性: 8 AI来源权威性: 14 AI新颖性: 12 AI技术细节: 6 AI商业部署信号: 2 AI完整性: 0 图片摘要: - "✗ ./assets/img-83d2f103.jpg | other | 与正文主题无关，为通用能效概念图" - "✓ ./assets/img-1f6575f1.png | diagram | 展示GPU与Vera CPU协同支持AI Agent工作流的示意图，体现Vera CPU在大规模Agent场景中的关键作用。" - "✗ ./assets/img-3511966c.jpg | photo | 品牌宣传照，与正文技术内容无关" - "✗ ./assets/img-e47e99dc.png | other | 与正文主题无关，为推理软件栈相关配图" 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-vera-cpu-los-alamos-national-laboratory" --- Mission, Vision and Veritas — new Los Alamos National Laboratory (LANL) supercomputers to be built with HPE and NVIDIA — are tapping [NVIDIA Vera CPUs](https://www.nvidia.com/en-us/data-center/vera-cpu/) to accelerate scientific discovery, unlocking agentic AI for science. The supercomputers will use the HPE Cray Supercomputing GX5000 architecture with the NVIDIA Vera Rubin platform, combining NVIDIA Vera CPUs, NVIDIA Rubin GPUs and NVIDIA Quantum-X800 InfiniBand networking. Under the planned configuration, Mission will include NVIDIA Vera Rubin GPU nodes and 2,300 standalone NVIDIA Vera CPUs using the HPE Cray Supercomputing GX240 blade. Veritas will feature approximately 1,150 standalone NVIDIA Vera CPUs to complement NVIDIA Vera Rubin nodes. Veritas will arrive alongside Mission and Vision and serve the Laboratory Directed Research and Development program, helping accelerate agentic AI for science. The system will test these technologies for use in larger systems being built out at LANL. Researchers are adding a new tool for science with AI agents that can form hypotheses, choose tools, launch simulations, analyze outputs and refine the next step. LANL’s public work on [URSA, the Universal Research and Scientific Agent](https://www.lanl.gov/media/news/0416-meet-ursa) — running on Venado and soon Mission and Vision — points in this direction: a modular, feedback-driven AI framework designed to help scientists brainstorm hypotheses, plan experiments, run simulations and analyze results. LANL demonstrated that the Vera CPU delivered 7x higher performance on URSA workloads than the CPUs in the Crossroads x86 supercomputer. ## Vera CPU for Agents and Simulation In LANL’s early testing of NVIDIA Vera CPUs on Branson — an open source Monte Carlo heat transfer simulation tool — Vera outperforms the CPUs used in the Crossroads x86 supercomputer by over 3x. These results were made possible by Vera, including its custom Olympus core, LPDDR5 memory and fast on-chip fabric. A single Vera CPU outperforms a single socket x86-based CPU by more than 3x while providing more than 4x the memory per core and 6x the memory per node. Ultimately, this means faster scientific results for LANL. All of the lab’s supercomputers were codesigned by hardware architects, system software developers, domain scientists, computer scientists and applied mathematicians — helping ensure systems are shaped by real scientific workloads, not abstract benchmarks alone. ## Building on Generations of LANL Systems Mission, expected to be operational in 2027, will be the fifth Advanced Technology System in the National Nuclear Security Administration’s Advanced Simulation and Computing program and will replace Crossroads for classified national security workloads. Vision, also expected to be operational in 2027, will serve as a resource for fundamental science, including materials and nuclear science, energy modeling, biomedical research and AI — letting more scientists test methods, train models and explore ideas before moving into higher-consequence work. The work extends more than a decade of LANL and NVIDIA’s deep collaboration on CPUs, from Grace to Vera, using extreme codesign for LANL simulation workloads. The three new supercomputers build on Venado, the HPE Cray EX supercomputer installed at Los Alamos in 2024 with NVIDIA GH200 Grace Hopper Superchips and NVIDIA Grace CPU Superchips. *Learn more about the* [*NVIDIA Vera CPU*](https://www.nvidia.com/en-us/data-center/vera-cpu/)*.* ![AI Innovators Adopt NVIDIA Vera — Why Max Single-Threaded CPU at Scale Matters](./assets/img-1f6575f1.png)