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As Nvidia gets a lifeline in China, Jensen Huang goes on the charm offensive in Beijing
CNBCยท 2025-07-16 12:08
Core Insights - Nvidia CEO Jensen Huang expressed optimism about resuming sales of H20 AI chips to China after a three-month pause, highlighting the company's significant market cap of $4 trillion [2][7] - The resumption of chip sales is linked to a broader exchange between the U.S. and China regarding rare earths, indicating geopolitical influences on technology trade [3][7] - Nvidia's market share in China has been nearly halved due to U.S. export controls, resulting in a loss of $2.5 billion in sales during the April quarter and an expected $8 billion hit in the July quarter [9][10] Company Meetings and Discussions - Huang had a productive meeting with Chinese Vice Premier He Lifeng, focusing on topics excluding battery technology and rare earths [4] - Discussions with Xiaomi's CEO Lei Jun revolved around AI applications in large language models, autonomous driving, and robotics, with Xiaomi utilizing Nvidia's automotive chips [5] Export Controls and Market Impact - Nvidia anticipates resuming H20 chip shipments to China following U.S. government assurances, after a halt due to new export requirements [7] - The U.S. government is still processing licenses for Nvidia to sell chips to China, with a potential nine-month timeline to restart the supply chain [11] Competition and Industry Landscape - Huang acknowledged Huawei's capabilities in chip design and AI systems, emphasizing that underestimating Huawei's manufacturing prowess is misguided [12] - Huawei has developed its own AI chips and cloud systems, which do not rely on Nvidia's technology, indicating a competitive landscape for AI development in China [12] Chinese AI Models - Huang praised the quality of Chinese AI models, such as DeepSeek and Qwen, noting their open-source nature and widespread adoption for various applications [14][15] - The emergence of Chinese AI models poses a challenge to established players like OpenAI, particularly in terms of cost efficiency and accessibility [14][15]