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NVIDIA Demands TSMC Double Production for AI Chips

Ana sayfa / News

NVIDIA CEO Jensen Huang has made a stunning declaration regarding NVIDIA TSMC production needs, stating that the chip manufacturing giant must increase its capacity by over 100% in the next decade. Remarkably, this massive expansion would be required just to meet the demand from NVIDIA alone, signaling the company’s profound confidence in the long-term AI boom.

The NVIDIA-TSMC Production Partnership and AI’s Future

The technology world is currently witnessing one of the largest infrastructure investments in human history. NVIDIA appears certain that the demand for artificial intelligence infrastructure will continue to grow rapidly in the coming years. This intense market expectation is clearly supported by TSMC’s future factory projects and its increasing capital expenditures each quarter. Consequently, the Taiwanese giant, whose production lines are already under significant pressure, is pursuing an aggressive growth strategy to meet this demand.

Furthermore, TSMC is expanding its production plans globally to address geopolitical concerns, making huge investments in regions like the European Union, Japan, and the United States. The company’s supply chain plans in America are particularly ambitious, involving a massive $250 billion restructuring. This initiative includes advanced packaging, semiconductor manufacturing, and R&D centers. As its Arizona facilities are currently transitioning to 3nm production, there are also plans to move to A16 technology in the future.

How NVIDIA Secured Its Top Spot

With next-generation chips like Grace Blackwell and Vera Rubin, NVIDIA now holds the lion’s share of TSMC’s production lines. This has enabled the company to surpass Apple in just a few years to become TSMC’s largest customer. With TSMC introducing a “pre-payment” option for capacity, a significant portion of future production lines is already reserved for NVIDIA and other high-performance computing clients.

The company’s competitive advantage is fundamentally rooted in economies of scale, which prevents rivals like ASIC manufacturers or AMD from posing a significant threat. Another critical factor is Jensen Huang’s strong relationships with suppliers, which grants him earlier access to production lines than competitors. As the construction of AI infrastructure continues so aggressively, the future of the industry seems to be heavily dependent on manufacturing capacity.

So, what are your thoughts on the rapid growth of AI technologies? Share your opinions with us in the comments!

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