For example, Huawei's HiSilicon Kirin 980 and Apple's A12 Bionic processor, as well as the Qualcomm Snapdragon 855 processor that has not yet been officially launched. It is pointed out that the world's first 3-nanometer factory is expected to start construction in 2020, with mas

2024/11/1621:17:32 hotcomm 1789

This year, the flagship SoCs of major manufacturers have begun to use the 7nm process technology , such as Huawei HiSilicon Kirin 980 and Apple A12 Bionic processor, as well as the Qualcomm Snapdragon 855 processor that has not yet been officially launched. It is expected that we will use SoC produced by this 7nm process for a long time to come. However, news has now pointed out that the world's first 3-nanometer factory is expected to start construction in 2020, with mass production as soon as the end of 2022. The global semiconductor industry will enter a new era.

For example, Huawei's HiSilicon Kirin 980 and Apple's A12 Bionic processor, as well as the Qualcomm Snapdragon 855 processor that has not yet been officially launched. It is pointed out that the world's first 3-nanometer factory is expected to start construction in 2020, with mas - DayDayNews

TSMC

According to the Economic Daily in Taiwan, China, TSMC’s 3-nanometer factory has passed environmental assessment. According to the original schedule, the world’s first 3-nanometer factory is expected to start construction in 2020, and mass production will be possible by the end of 2022 at the earliest.

As TSMC's 3-nanometer factory has passed the environmental assessment, TSMC can successfully build the fourth to sixth phases of the wafer 18 new factory. Previously, TSMC had kept its 3-nanometer mass production schedule secret, not only to prevent rivals and Samsung from accelerating investment, but also because the environmental impact assessment case had not passed.

According to TSMC’s planning blueprint, 3nm should be in trial production in 2021 and in mass production in 2022. It will become the world’s first foundry to provide wafer foundry services and can also solve many more powerful wafer foundries for AI artificial intelligence chips. .

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