TSMC's 3nm Process Set for Massive Adoption by AI Tech Giants

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On Tue, 15 Oct, 8:01 AM UTC

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TSMC's 3nm process is poised for widespread adoption in the AI sector, with major tech companies like NVIDIA, AMD, and Intel planning to use it in their next-generation AI accelerators.

TSMC's 3nm Process Attracts Major AI Players

Taiwan Semiconductor Manufacturing Company (TSMC) is set to witness significant adoption of its 3nm process technology, particularly in the artificial intelligence (AI) sector. Industry giants NVIDIA, AMD, and Intel are planning to leverage this advanced manufacturing process for their upcoming AI accelerators, signaling a new era in chip production for AI applications 12.

Key Players and Their 3nm Plans

AMD

AMD is reportedly planning to use TSMC's 3nm process for its next-generation Instinct MI355X AI accelerator. This chip will be based on the CDNA 4 architecture and is expected to deliver substantial performance improvements in the AI market 1. The MI350 series, as it's also known, is slated for production in the second half of 2025 2.

NVIDIA

NVIDIA is expected to integrate TSMC's 3nm process and its derivatives into its upcoming "Rubin" architecture, which is projected to debut in 2026 1. The Rubin R100 AI GPU is part of this next-generation lineup and will reportedly feature future-generation HBM4 memory 2. Additionally, NVIDIA is collaborating with MediaTek on an Arm-based AI PC processor, also to be manufactured on TSMC's 3nm node, with a reveal expected in Q2 2025 and mass production in Q3 2025 2.

Intel

Intel's highly anticipated Falcon Shores architecture is set to adopt TSMC's 3nm process, marking a significant shift for the company as it moves away from its own foundry services for this product line. This move is seen as crucial for Intel's competitiveness and sustainability in the AI market 1. Intel's Lunar Lake CPUs are also slated for production on the 3nm node 2.

Impact on TSMC and the Industry

The adoption of TSMC's 3nm process by these AI tech giants is expected to generate massive revenue for the Taiwanese manufacturer. The demand extends beyond AI, with companies in mobile and automotive sectors also utilizing the technology 1. This widespread adoption is likely to stretch TSMC's production capacity, particularly in advanced packaging techniques like CoWoS (Chip on Wafer on Substrate) 2.

Advanced Packaging and Future Developments

The shift to more advanced AI chips is driving changes in packaging technology. NVIDIA's Blackwell B200, AMD's Instinct MI300, and Intel's Gaudi 3 AI chips all use CoWoS advanced packaging, which is significantly larger than traditional photomasks. This trend is expected to continue, with package sizes increasing and the number of wafers being cut potentially decreasing 2.

Broader 3nm Adoption

Beyond AI applications, TSMC's 3nm process is also being adopted for various other products. These include Apple's upcoming A19 Pro chip, MediaTek's Dimensity 9400, Google's Tensor G5, and Qualcomm's Snapdragon 8 Gen4 chip 12. This diverse range of applications underscores the versatility and importance of TSMC's 3nm technology in the semiconductor industry.

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