TSMC disclosed that A16 will combine its nanosheet transistor design, set to be introduced on 2nm, with Super Power Rail technology.
According to Reuters, TSMC indicated that it does not need ASML’s latest High NA EUV photolithography machines in order to produce chips with its A16 process.
This adds area-efficient design rules that are compatible with its popular N4P process, but which will deliver an 8.5 percent die cost reduction for “value-tier” products, TSMC claims.
This enables a large array of dies on a 300 mm wafer to form a single system, boosting compute power while occupying far less space.
TSMC also said it is developing Compact Universal Photonic Engine (COUPE) technology for high-speed interconnects, citing AI as an application that will need this.
TSMC reported revenue up year-on-year for the first quarter of 2024 earlier this month, beating expectations, and said it anticipated that demand for AI-capable PCs and datacenter kit will drive higher sales of the silicon it produces this year.
The original article contains 686 words, the summary contains 163 words. Saved 76%. I’m a bot and I’m open source!
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TSMC disclosed that A16 will combine its nanosheet transistor design, set to be introduced on 2nm, with Super Power Rail technology.
According to Reuters, TSMC indicated that it does not need ASML’s latest High NA EUV photolithography machines in order to produce chips with its A16 process.
This adds area-efficient design rules that are compatible with its popular N4P process, but which will deliver an 8.5 percent die cost reduction for “value-tier” products, TSMC claims.
This enables a large array of dies on a 300 mm wafer to form a single system, boosting compute power while occupying far less space.
TSMC also said it is developing Compact Universal Photonic Engine (COUPE) technology for high-speed interconnects, citing AI as an application that will need this.
TSMC reported revenue up year-on-year for the first quarter of 2024 earlier this month, beating expectations, and said it anticipated that demand for AI-capable PCs and datacenter kit will drive higher sales of the silicon it produces this year.
The original article contains 686 words, the summary contains 163 words. Saved 76%. I’m a bot and I’m open source!