黄仁勋在柏林 GTC 发布 DSX Pod 模块化 AI 工厂,并公布机器人平台计划
Jensen Huang’s Vision for Europe Runs on Plug-In Data Centers | WIRED
黄仁勋在英伟达柏林 GTC 上发布模块化 AI 工厂 DSX Pod,整套设备装在大型金属容器中交付,内置 Vera Rubin 计算机架,可在 14 天内上线,而非耗时数月或数年。他还宣布推出全栈机器人平台以统一配置,并计划在明年第一季度提供预配置参考机器人 Agile One。黄仁勋称人形机器人将是下一个大产业,欧洲凭制造业基础有望领先,同时公布与大众、奔驰在自动驾驶上的合作。
推荐理由
AI 评分 60
黄仁勋在柏林 GTC 上把欧洲 AI 叙事落到模块化数据中心、机器人和智能体三条线上,可看英伟达如何为欧洲市场设计产品。
主题
正文
当前显示原文,中文全文译文尚未就绪。
00Days:00Hours:00Minutes:00SecondsJoin us in MiamiSee the full lineup
Jensen Huang outlined his vision of Europe’s future at Nvidia’s global conference in Berlin on Wednesday. It consists of robotics, AI agents, and modular data centers, with Nvidia unsurprisingly powering it all.
“To be part of this AI economy, you don’t want to just be consuming the AI. You want to be producing the AI,” he told the 4,000-strong crowd at Nvidia’s GTC. “We can do all of that here in Europe.”
The last GTC, held in San Jose, California, in March, was all about AI inference and more efficient compute. Seven months later, the focus has switched to power, agents, and physical AI. There were even some cute little Microduck robots—made by recent Nvidia acquisition Hugging Face—doing Huang’s bidding at the end of his 90-minute pitch.
Huang’s first big announcement was a modular “AI factory” called the DSX Pod. It is a “plug-and-play” option for building AI data centers, with everything arriving already assembled in a large metal container and packed with Nvidia’s latest Vera Rubin compute racks. It can be brought online in 14 days, instead of taking months or years to construct. That may come in especially handy in Europe, where infrastructure projects are notoriously slow. Huang said the DSX Pod would also slash the amount of time compute sits idle in a data center as it will come online quicker. “This is a complete transformation,” he said.
The speech, delivered at Berlin’s Tempodrom, a venue inspired by a circus tent with the lighting of a gamer’s den, veered between selling laptops and sweeping predictions, with Nvidia presented as the fundamental technology provider to every industry. At one point, two Greenpeace protesters stood up and unfurled a banner reading “Clean up your dirty business.” Huang told his security team to “Go easy” as they were marched out.
Humanoid robotics will be the “next great industry,” Huang said, arguing that Europe was well-placed to lead on it due to its manufacturing heritage. But physical AI goes way beyond robotics, Huang pointed out, explaining that even telecom operators are adding Nvidia GPUs to their cell towers. He also announced partnerships with European carmakers VW and Mercedes on AVs.
Nvidia is making a similar move in humanoid robotics, with Huang announcing the launch of a full-stack robotics platform to standardize configuration. It also plans to release a preconfigured reference robot, Agile One, available in the first quarter of next year, to help developers start building physical AI systems. “This is your great opportunity,” he said.
On model usage, Huang predicted: “Every company in the future will use both closed models as well as open models that you customize.” He showcased Nvidia’s own open-source models as hitting frontier performance once customized on an organization’s proprietary data.
He also predicted that agents would mean there will be more users of software tools than ever before, and said agents’ reasoning, iteration, and tool use are pushing token consumption and demand for computing—and Nvidia GPUs—higher.
In case the 90-minute speech was too technical, it ended with an AI-generated Eurovision song summing up what Huang had just announced. The speech was easier to follow, to be fair.
Introducing the app: More ways to make the most of WIRED
Meta failed to catch hundreds of AI child abuse ads
Big Story: The search for Silicon Valley’s most powerful woman
Hackers got inside a Flock camera—its data shows how the system really works