TSMC's 3nm Production Capacity Will Triple This Year! Nanjing Plant Receives "Indefinite Exemption"!

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www.gamingdeputy.com, May. 24, 2024 – 

On May 23, TSMC held the "2024 Technology Forum Taiwan Station" event to share TSMC's latest technological progress and production capacity layout, and also confirmedTSMC's Nanjing plant recently obtained an "indefinite exemption" license from the US Department of Commerce.

At the technical forum that day, TSMC Asia Pacific Business Director Daniel Wan gave an opening speech. He said that looking forward to future AI innovation, high performance, 3D chip stacking, and packaging technology are becoming increasingly important. TSMC expects to achieve more than 200 billion transistors on a single chip in the next few years, and more than 1 trillion transistors through 3D packaging, which will be an exciting breakthrough in semiconductor technology.

Wan Ruiyang said that we are currently witnessing the advent of a new era of AI. AI is changing the world by analyzing large amounts of data, making predictions and automating prediction decisions. It has already tracked changes in icebergs in satellite images at a speed 10,000 times faster than humans, and has identified genes that are difficult to detect through millions of proteins.It is expected that there will be 100,000 generative AI humanoid robots by 2030, and global shipments of generative AI mobile phones are expected to reach 240 million units by the end of this year.

With the help of powerful cloud AI processors and the development of terminal-generated AI,Disruptive innovation of AI has already ushered in the fourth industrial revolution.The first was driven by steam engine mechanization, the second was driven by electrification and large-scale production, and the third was driven by semiconductor technology, which brought computers and automation. With the advent of the new era of AI, the most advanced AI uses the world's most advanced process technology, and the large language models used for AI training by TSMC's 4-7nm advanced process have increased complexity and capabilities. Therefore, in order to maintain continuous large-scale training, stronger computing power and better energy efficiency are required.

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