Jun He, Vice President of Advanced Packaging Technology and Service at TSMC, stated that 3D IC is a crucial method for integrating AI chip memory with logic chips.
According to a report from TechNews, regarding the development of 2.5D CoWoS advanced packaging, which integrates eight chiplets, TSMC will use the A16 advanced process to manufacture the chiplets, and integrated them with 12 HBM4, which is expected to be launched in 2027.
Reportedly, in his speech at the Semicon Taiwan 2024 “3D IC / CoWoS for AI Summit,” He noted that the global semiconductor market is projected to become a trillion-dollar industry by 2030, with HPC and AI being the key drivers, accounting for 40% of the market, which also make AI chips crucial drivers for 3D IC packaging.
The reasons customers choose to manufacture AI chips with 3D IC platform for multi-chiplet design would be related to their lower costs and reduced design transition burdens.
Jun He explained that by converting a traditional SoC+HBM design to a chiplet and HBM architecture, the new logic chip would be the only component that needed to be designed from scratch, while other components such as I/O and SoC can use existing process technologies. This approach reduces mass production costs by up to 76%.
Although the new architecture might increase production costs by 2%, the total cost of ownership (TCO) is improved by 22% due to these efficiencies, He noted.
However, 3D IC still faces challenges, particularly in increasing production capacity. Jun He emphasized that the key to enhancing 3D IC capacity lies in the size of the chips and the complexity of the manufacturing process.
Regarding chip size, larger chips can accommodate more chiplets, improving performance. However, this also increases the complexity of the process, which can be three times more challenging. Additionally, there are risks associated with chip misalignment, breakage, and failure during extraction.
To address these risk challenges, Jun He identified three key factors: tool automation and standardization, process control and quality, and the support of the 3DFabric manufacturing platform.
For tool automation and standardization, TSMC’s differentiated capabilities with its tool suppliers are crucial. With 64 suppliers now involved, TSMC has gained the ability to lead in advanced packaging tools.
In terms of process control and quality, TSMC utilizes high-resolution PnP tools and AI-driven quality control to ensure comprehensive and robust quality management. Finally, the 3DFabric manufacturing platform integrates 1,500 types of materials within the supply chain to achieve optimization.
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(Photo credit: TSMC)