在柏林举行的 Nvidia GTC 大会主题演讲中，可爱的机器人抢尽风头，Nvidia 首席执行官黄仁勋描绘了一个由 AI 智能体驱动的未来——当然，也少不了大量自家硬件的加持。尽管环保抗议者打断了他在柏林帐篷状的 Tempodrom 场馆内的演示，Nvidia 掌门人依然保持着一贯的热情洋溢。“你们为什么不先整顿好自己的行为？”
Cute robots stole the show at Nvidia's GTC keynote in Berlin, where Jensen Huang pitched a future powered by AI agents – and, naturally, plenty of his company's hardware. The Nvidia chief remained his usual ebullient self despite environmental protesters interrupting his presentation at Berlin's tent-shaped Tempodrom. "Why don't you clean up your act?" they demanded, holding up banners that partially obscured the presentation screen behind Huang.
抗议者高举横幅、部分遮挡了黄仁勋身后的演示屏幕，高声质问道。“这些都是重要议题，但请让我先完成主题演讲，”他开玩笑说，并补充道：“待会儿我再跟你们聊，”安保人员迅速将抗议者带离现场。
"All important issues, but let me get through my keynote," he joked, adding: "I'll talk to you guys later," as security swiftly removed them. Huang was discussing Vera Rubin systems before unveiling DSX POD, a reference design for factory-built, containerized AI infrastructure.
当时黄仁勋正在介绍 Vera Rubin 系统，随后发布了 DSX POD，这是一种面向工厂预制、集装箱化 AI 基础设施的参考设计。DSX POD 采用 Nvidia Spectrum-X 网络，将七个液冷 Vera Rubin 计算机柜组合在一起。合作伙伴将在模块化集装箱内完成布线、集成和测试，然后交付，预计 2027 年初上市。Nvidia 称，在场地准备就绪的情况下，部署时间可从六个月缩短至最快 14 天。这还不包括一个不容忽视的前提：先要把电力、连接和其他场地基础设施准备好。
DSX POD combines seven liquid-cooled Vera Rubin compute racks using Nvidia's Spectrum-X networking. Partners will cable, integrate, and test the systems in modular containers before delivery, with availability expected in early 2027. Nvidia claims deployment could shrink from six months to as little as 14 days at a prepared site. That excludes the not insignificant matter of getting power, connectivity, and other site infrastructure ready first. He was keen to add that Vera Rubin systems are designed for closed-loop liquid cooling with coolant temperatures up to 45°C, while outdoor dry coolers release heat into the air without needing to evaporate water.
他特别强调，Vera Rubin 系统专为闭环液冷设计，冷却液温度高达 45°C，室外干式冷却器将热量散发到空气中，无需蒸发水分。“在 2 吉瓦功率下，DSX 每天可节省 5400 万升水，”黄仁勋宣称，或许他是想着那些环保抗议者才特意提到这一点。
"At 2 gigawatts, DSX can save 54 million litres of water a day," Huang claimed, perhaps thinking of those environmental protesters. Yet much of the leather-jacketed leader's attention was focused on physical AI: robots, autonomous vehicles, and other machinery Nvidia hopes to supply with its hardware and software.
然而，这位身穿皮夹克的领袖将大部分精力集中在了物理 AI 上：机器人、自动驾驶汽车以及 Nvidia 希望用其软硬件提供支持的其他机械设备。来自 Pollen Robotics 的 Microducks 是一种小型双足机器人，以摄像头作为“脸”。黄仁勋在舞台上与它们互动，通过语音指令让它们躺下、打滚，小机器人则齐声发出哔哔声作为回应。
The Microducks from Pollen Robotics are small, two-legged robots with cameras for faces. Huang interacted with them on stage, getting them to lie down and roll over by voice command, and the little robots all beeped back at him in response. The robo ducks demonstrated a workflow in which AI was trained in the cloud, evaluated on an Nvidia RTX Spark PC, then deployed on the robots.
这些机器人鸭子展示了一个工作流程：首先在云端对人工智能模型进行训练，然后在配备 Nvidia RTX Spark 处理器的计算机上进行评估，最后将这些模型部署到机器人上。黄先生还介绍了 Agile ONE SN——这是一个由德国机器人初创公司 Agile Robots 开发的仿人机器人平台，该平台基于 Nvidia 的 Isaac GR00T 技术和 Jetson Thor 计算模块构建。
Huang also unveiled Agile ONE SN, a humanoid robot reference platform from German robotics startup Agile Robots, based on Nvidia's Isaac GR00T technology and a Jetson Thor compute module. Scheduled for early 2027, the platform is intended to give robotics researchers and developers a ready-made system for developing and testing capabilities.
该平台计划于 2027 年初上市，旨在为机器人研究人员和开发者提供一个现成的开发与测试工具。黄先生表示：“这将成为下一个重要的产业领域。”除了机器人技术之外，Nvidia 还正在将其人工智能硬件和软件应用于汽车及电信网络领域。他自豪地指出，Nvidia 的 Hyperion 汽车系统已被越来越多的汽车制造商采用，并称：“我们已将这一技术确立为行业标准，现在越来越多的汽车都在采用它。”
"This is going to be the next major industry, the next great industry," Huang claimed. Beyond robots, Nvidia is pushing its AI hardware and software into cars and telecoms networks. Huang boasted that Nvidia's Hyperion car system is being adopted by more vendors, saying: "We turned this into an industry standard, and now it's being designed into one car fleet after another." Europe's telecoms operators are also deploying Nvidia-powered computing in their networks to deliver advanced services using AI-RAN, according to Huang.
据黄先生介绍，欧洲的电信运营商也在其网络中部署了基于 Nvidia 技术的计算设备，以利用人工智能（AI）提供更先进的服务。他提到：“经过近八年的研发，Nvidia 与诺基亚合作在 T-Mobile 网络上完成了首次商业电话通话；如今，CUDA 技术已经成为了实现电话通话的基础。”Nvidia 显然并未放慢推进其技术发展的步伐，反而决心将其技术应用到全球各个领域。
"After working on this for nearly eight years, Nvidia made the first commercial phone call on the T-Mobile network with Nokia, and so now CUDA makes phone calls," he said. Far from slowing down the progression of AI, it seems Nvidia is determined to push its technology into every corner of the world. "Everyone will become an AI company," Huang claimed.
黄先生还特别赞扬了欧洲在科技领域的努力。Forrester 公司的首席分析师 Paul Miller 表示：“正如预期的那样，Jensen 将 Nvidia 描述为欧洲科技发展的坚定支持者与推动者；在过去一年中，Nvidia 向欧洲投资了近 100 亿美元，其中包括在 Jensen 此次访问期间对 14 家欧洲初创企业的投资。”不过 Miller 也指出，Nvidia 本身并非欧洲公司。
He also took care to praise Europe and its technology efforts while he was in Berlin. "As expected, Jensen positioned Nvidia as a strong supporter of – and enabler for – Europe's sovereign tech ambitions. Nvidia has invested almost $10 billion into Europe in the past year, including 14 investments into European startups during Jensen's current trip," said Forrester principal analyst Paul Miller.
他补充道：“任何对英伟达（或任何其他非欧洲公司）存在关键持续依赖的事物，都不太可能符合欧洲技术主权最纯粹的定义。”黄仁勋以一段CGI视频结束了演讲，视频中机器人表演了一首欧洲歌唱大赛风格的歌曲，回顾了他的主题演讲。是的，它正如你想象的那样糟糕。®
But Miller pointed out that Nvidia itself is not European. "Anything with critical ongoing dependencies on Nvidia (or any other non-European firm) is unlikely to meet the purest definitions of European tech sovereignty," he added. Huang closed with a CGI video of robots performing a Eurovision-style song recapping his keynote. Yes, it was as bad as you imagine. ®