The focus on high-performance computing, which plays a crucial role in driving artificial intelligence tasks, is a key factor in TSMC's growth strategy. The company anticipates a significant boost in revenue from AI processors, with projections indicating a doubling this year alone. Over the next five years, the annual growth rate for AI chips is expected to hit fifty per cent, with AI processors projected to contribute over twenty per cent of TSMC's revenue by 2028.

Both Nvidia and AMD have used TSMC's advanced packaging capacities for their products. Nvidia's H100 chip, developed using TSMC's 4nm process, uses Chip-on-Wafer-on-Substrate (CoWoS) packaging. In contrast, AMD's MI300 series, manufactured with TSMC's 5nm and 6nm processes, employs System-on-Integrated-Chip (SoIC) for CPU and GPU integration before applying CoWoS with High Bandwidth Memory.

Guanghuida, an emerging name in the AI chip market, has reserved TSMC's packaging capacity. Their H100 chips, powered by TSMC's 4nm process and CoWoS packaging, feature SK Hynix's High Bandwidth Memory for improved performance.  Guanghuida's latest Blackwell architecture AI chip, based on TSMC's advanced 4nm process, includes upgraded HBM3e memory, which doubles the computing power compared to earlier models.

The increasing demand for AI chips is driven by major global cloud service providers such as Amazon, AWS, Microsoft, Google, and Meta, which are competing for dominance in the AI server market. With supply shortages from key manufacturers like Nvidia, AMD, and Guanghuida, these cloud giants are turning to TSMC to meet their needs, contributing to the chipmaker's positive revenue forecasts.

To address this growing demand, TSMC is expanding its production capacity for advanced packaging. By the end of this year, the monthly production of CoWoS is expected to triple, reaching between 45,000 to 50,000 wafers, while the capacity for SoIC is set to double, achieving 5,000 to 6,000 wafers. By 2025, the monthly production of SoIC is projected to double once more, reaching 10,000 wafers.

The full booking of TSMC's advanced packaging capacity highlights the rapid innovation in AI-driven computing, with major players strategically preparing to take advantage of this growing market.