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NVIDIA CEO Huang: TSMC Must Work Hard to Meet AI Demand

NVIDIA CEO Jensen Huang stated that TSMC, the world's largest semiconductor manufacturer, may need to more than double its production capacity over the next decade to meet the exploding global demand for AI chips. Huang emphasized that scaling capacity is the industry's greatest challenge, highlighting the immense pressure AI expansion places on supply chains and manufacturing infrastructure.

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NVIDIA CEO Huang: TSMC Must Work Hard to Meet AI Demand

AI Boom Forces TSMC to Double Capacity

Jensen Huang, CEO of AI giant NVIDIA, has announced that TSMC, the world's largest semiconductor manufacturer, may need to more than double its production capacity over the next decade to meet global demand for artificial intelligence (AI) chips. This statement reveals the tremendous pressure the rapid proliferation of AI technologies is placing on supply chains and manufacturing infrastructure.

"Even NVIDIA's Demand Alone is Enormous"

Huang's assessment indicates that TSMC needs to significantly increase its production just to meet NVIDIA's growing needs alone. NVIDIA's GPUs form the backbone of the AI ecosystem, from large language models like ChatGPT to complex data analytics. Therefore, the company's production plans are critically important for the entire industry. Huang stated that the biggest challenge in the AI field is scaling capacity, saying, "That's why we're working so hard, together with TSMC and all our supply chain partners here."

TSMC's Monumental Task Ahead

TSMC already possesses the world's most advanced chip manufacturing technologies and is the primary manufacturing partner for giants like Apple, AMD, and Qualcomm, as well as NVIDIA. However, AI chips require extremely complex and advanced manufacturing processes. Doubling capacity doesn't just mean building new fabrication plants (fabs). It also requires multi-dimensional, multi-billion dollar investments in advanced equipment procurement, skilled workforce development, and strengthening energy infrastructure. This process is seen as a massive industrial undertaking spanning a decade.

OpenAI Investment and a Message of Confidence to the Industry

During his remarks, Jensen Huang also touched on NVIDIA's other significant steps in the AI field. In particular, he mentioned the planned investment in OpenAI, signaling strong confidence in the sector's continued growth and the need for foundational infrastructure to support it. This move underscores the strategic partnerships being formed to navigate the scaling challenges ahead.

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