OpenAI and Apple Secure Initial TSMC A16 1.6nm Chip Capacity
Apple and OpenAI have successfully reserved the initial production capacity for TSMC’s upcoming A16 process technology, which features a 1.6nm node. This strategic move is driven by both companies' long-term requirements for self-developed artificial intelligence chips, as reported by the Taiwanese media outlet Economic Daily News. The A16 represents TSMC's most advanced semiconductor manufacturing process revealed to date, with mass production scheduled to commence in the second half of 2026. Technologically, the A16 node will incorporate next-generation Nanosheet transistor architecture and adopt Super Power Rail (SPR) technology. SPR is an innovative backside power delivery solution designed to enhance power efficiency and overall performance in semiconductor devices by supplying power directly to transistors from the rear of the chip. This development underscores the intensifying competition and significant investment in advanced chip manufacturing capabilities among major tech giants aiming to optimize hardware for AI applications. The reservation of such cutting-edge capacity highlights the critical importance of semiconductor supply chains in the ongoing evolution of artificial intelligence infrastructure.
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OpenAI and Apple Secure Initial TSMC A16 1.6nm Chip Capacity
Apple and OpenAI have successfully reserved the initial production capacity for TSMC’s upcoming A16 process technology, which features a 1.6nm node. This strategic move is driven by both companies' long-term requirements for self-developed artificial intelligence chips, as reported by the Taiwanese media outlet Economic Daily News. The A16 represents TSMC's most advanced semiconductor manufacturing process revealed to date, with mass production scheduled to commence in the second half of 2026. Technologically, the A16 node will incorporate next-generation Nanosheet transistor architecture and adopt Super Power Rail (SPR) technology. SPR is an innovative backside power delivery solution designed to enhance power efficiency and overall performance in semiconductor devices by supplying power directly to transistors from the rear of the chip. This development underscores the intensifying competition and significant investment in advanced chip manufacturing capabilities among major tech giants aiming to optimize hardware for AI applications. The reservation of such cutting-edge capacity highlights the critical importance of semiconductor supply chains in the ongoing evolution of artificial intelligence infrastructure.
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