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Nvidia-mania took over Europe this week. Here's what I learned from Jensen Huang
NVDANvidia(NVDA) CNBC·2025-06-14 06:05

Core Message - Nvidia is positioning itself as a key player in helping Europe build its artificial intelligence infrastructure, emphasizing the importance of AI as a foundational technology for the region's future [2][5]. Group 1: Nvidia's Role in AI Infrastructure - Jensen Huang, CEO of Nvidia, has articulated that the company is more than just a chip manufacturer, framing Nvidia as an infrastructure firm essential for developing AI capabilities in Europe [5]. - Huang highlighted the need for Europe to collaborate and build a joint capacity in AI to compete effectively on a global scale [6]. - A significant partnership was announced between French startup Mistral and Nvidia to create an AI cloud utilizing Nvidia's GPUs [6]. Group 2: Sovereign AI and European Potential - The concept of "sovereign AI" was discussed, focusing on the importance of establishing data centers within national borders to serve local populations [7]. - Huang praised the potential of the U.K., France, and Europe in the AI sector, indicating a positive outlook for the region's capabilities [7]. Group 3: Competitive Landscape with China - Nvidia has faced challenges in selling advanced chips to China due to U.S. export controls, resulting in a $4.5 billion loss on unsold inventory in its last quarterly results [8]. - Huang noted that while Huawei is currently a generation behind Nvidia in AI chip technology, the company is leveraging its resources to catch up [9]. - Concerns were raised about the strategic implications of U.S. companies not engaging with the Chinese market, which could allow Chinese firms to advance in the AI race [11][12]. Group 4: Future Technologies - Huang expressed optimism about the future of robotics and autonomous vehicles, predicting that this decade will be pivotal for these technologies [13][14]. - He also mentioned that quantum computing is reaching an "inflection point," with the potential to solve complex problems beyond the capabilities of classical computers [15].