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TSMC is preparing for 2nm production with artificial intelligence support

Recent reports show that Taiwan Semiconductor Manufacturing Company (TSMC) has made significant strides towards the next generation of process technology. TSMC has started the preparatory work for 2nm trial production and increased energy efficiency, carbon ...
 TSMC is preparing for 2nm production with artificial intelligence support
READING NOW TSMC is preparing for 2nm production with artificial intelligence support
Recent reports show that Taiwan Semiconductor Manufacturing Company (TSMC) has made significant strides towards the next generation of process technology. It is reported that TSMC has started preparatory work for 2nm trial production and plans to install an advanced artificial intelligence system to increase energy efficiency, reduce carbon emissions and accelerate trial production efficiency.

Experts in the industry predict that after TSMC’s 2nm mass production, big players such as Apple and Nvidia will be among the first customers and will consolidate its leadership against competitors such as Samsung and Intel.

TSMC is preparing for 2nm

Although TSMC declined to comment on the rumors, he emphasized that the development of the 2nm technology is progressing smoothly and mass production is expected to start in 2025. Sources reveal that TSMC has sent engineers to the Zhuke research and development (R&D) facility to begin preliminary preparations for 2nm trial production. The company plans to establish a dedicated R&D team of more than 1,000 experts to lead global mass production on the Zhuke Baoshan Wafer Fab 20. This advanced manufacturing base, which is planned to consist of six phases, will serve as TSMC’s primary 2nm facility in the future.

It plans to set up a small-scale trial production line in Zhuke for TSMC’s first 2nm research and development. The target for this year is to trial production of approximately 1,000 units, followed by risk production in 2024 and mass production in 2025. TSMC’s 2nm technology will benefit from the new GAA transistor architecture, which is expected to significantly improve system performance compared to 3nm technology.

Smaller transistors come with benefits such as higher performance, higher efficiency, more transistors on a single chip, less heat generation and potential cost reductions. These improvements result in faster data processing, improved energy efficiency, increased functionality, better thermal management and cost savings in chip manufacturing. All these items are very important in today’s world of artificial intelligence explosion.

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