GTC Berlin 2026:NVIDIA CEO 黄仁勋主题演讲现场直击
GTC Berlin 2026: Live Updates From NVIDIA CEO Jensen Huang’s Keynote
GTC Berlin 2026 期间,NVIDIA CEO 黄仁勋在柏林发表主题演讲,宣布公司已在欧洲巴黎、伦敦、斯德哥尔摩、都灵等巡回后投入近 $10 billion 支持欧洲技术生态,并与 12,000+ 合作伙伴展开合作。演讲将 AI 描述为从能源到应用的“五层蛋糕”,强调基础设施须先于模型存在,并表示欧洲可以不只消费 AI,更要生产 AI。
Founded in a tent near the Berlin Wall in 1980, the Tempodrom moved several times before settling near Anhalter Bahnhof in 2001. Its permanent home has since hosted concerts, galas and political events. Today, it hosts a different kind of spectacle.
GTC Berlin runs three days, with more than 100 sessions on agentic AI, robotics, physical AI, open models and accelerated computing underway at STATION-Berlin down the road. Here, journalists, analysts and partners have gathered for the main event: NVIDIA founder and CEO Jensen Huang’s keynote.
Huang Takes the Stage
Huang opened with a question: What do L’Oréal, Revolut, Spotify, Merck, Vodafone, Zara, Porsche, Nestlé and HSBC have in common? They’re all European companies and they’re all working with NVIDIA on AI, he said.
The keynote comes on the heels of NVIDIA’s weeklong road across Europe — Paris, London, Stockholm, Dublin — with the company committing nearly $10 billion to the technology ecosystem across Europe and working with 12,000+ partners.
“After decades of advancement in the computer industry, we are now at the beginnings of a new industrial revolution,” Huang said.
AI is a five-layer cake, Huang explained. Energy powers advanced computers that are part of an AI factory, which generates tokens and digital intelligence from the models that run on it, which are then integrated into every application.
“Long before the AI models emerge, the infrastructure has to exist,” he said, highlighting how, similarly, the internet first needed networking, and electricity first required the grid.
“To be part of this AI economy, you don’t want to just be consuming the AI; you want to be producing the AI,” Huang said. “We could do all of that here in Europe, and in fact, we’ve already started.”
来源: NVIDIA Blog · blogs.nvidia.com