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On Tue, 15 Oct, 8:01 AM UTC
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TSMC 3nm Set To Witness Massive Adoption From AI Tech Giants; NVIDIA Rubin, AMD Instinct MI355X & Intel Falcon Shores
TSMC's 3nm process is set to receive massive adoption in the AI sector, as Intel, NVIDIA, & AMD plan on utilizing the technology in their next-gen accelerators. The Taiwan giant's next node is said to be highly demanding in the markets, mainly because mainstream tech companies have revolved their upcoming product portfolios around the process. Notable examples include Apple for its upcoming A19 Pro chip, MediaTek's Dimensity 9400, and even Google's Tensor G5. And now, it looks like we have clarity on the adoption of TSMC's 3nm by the AI tech giants, such as NVIDIA and AMD out there, with a new report by Ctee now showing us where the process is expected to be integrated when it comes to AI portfolios. It is revealed that TSMC's 3nm is going to be one of the firm's most successful processes, mainly since the demand from the AI markets is quite high this time. For Team Red, it is said that AMD plans to utilize TSMC's 3nm process for their next-gen Instinct MI355X AI accelerator, which will be based on the next-gen CDNA 4 architecture and will bring in quality performance in the markets. Team Red's AI portfolio in 2025 isn't that extensive when compared to the likes of NVIDIA's Blackwell, but maybe the company is prioritizing quality over quantity for now. For NVIDIA, well the firm is expected to integrate TSMC's 3nm process and its derivatives into the upcoming "Rubin" architecture, which is slated to debut in the markets by 2026. Team Green doesn't plan to rush out its Rubin AI products to compete with industry alternatives, which is why it can be supposed that out of all AI accelerators adopting TSMC's 3nm, NVIDIA will be the last to join the bandwagon. But there's a rumor that NVIDIA x MediaTek AI PC SoC will launch somewhere next year, which will feature TSMC's 3nm node; hence, we will see the process in action then. Perhaps the underdog in TSMC's 3nm AI products is likely to be Intel, with their highly anticipated Falcon Shores architecture. This architecture is expected to turn around Team Blue's position in the AI markets following a delayed and rather complacent entry. With Falcon Shores, Intel will ditch its foundry services and instead adopt TSMC's 3nm process in an attempt to make its products much more competitive. Intel's Falcon Shores holds great importance for the firm and the sustainability of its AI business. With the adoption from mobile, automotive, and the AI industry, TSMC's 3nm process is poised for massive revenue generation, and who knows, maybe it will turn out to be the most successful product in t
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TSMC's 3nm project list grows: AMD MI350 series, NVIDIA Rubin AI GPU, expected in 2H 2025
TSMC's list of 3nm customers is growing, with AI added to the 3nm project list with AMD's upcoming Instinct MI350 AI accelerator series, and NVIDIA's next-gen Rubin R100 AI GPU. In a new report from Ctee citing investment bankers, TSMC will fab the new MI350 series and Rubin R100 series AI chips in the second half of 2025, joining 3nm customers with Apple, Intel, MediaTek, and Qualcomm... as well as AMD on its CPU side making chips on TSMC's 3nm process node (already, and more into 2025). The full list of TSMC's 3nm project list includes the Apple M4, Apple A18 and A18 chips for the iPhone, MediaTek's new Dimensity C-X1 (auto chip), Qualcomm's upcoming Snapdragon 8 Gen4 chip, Intel's new Lunar Lake and Arrow Lake CPUs, AMD's new Zen 5 CPUs and upcoming Instinct MI350 series AI accelerators, and finally, NVIDIA's next-gen Rubin R100 AI GPU (which will sport future-gen HBM4 memory). AMD's new Instinct MI350 series shifting to TSMC's new 3nm process node will bring a more level playing field in the advanced process node field, with NVIDIA's new Rubin R100 AI GPU also made on the 3nm node. Ctee cites its sources, saying that NVIDIA's orders to TSMC in 2025 will exceed the numbers of orders in 2024, with its 3nm and 5nm production capacity stretched even further. There's also the NVIDIA + MediaTek co-developed Arm-based AI PC processor that will be built on 3nm at TSMC, which will extend production capacity even further, with this new AI PC chip to be revealed in Q2 2025, and mass produced in Q3 2025. Intel's new Lunar Lake CPUs are also built on 3nm, with most of its future products gearing up for production at TSMC, too. Industry insiders have said that with market trends the way they are, that the entry of new AI chips into the battle on TSMC's new 3nm node will consume more wafer foundry production capacity, especially in the advanced packaging side of things. NVIDIA's new Blackwell B200, AMD's Instinct MI300, and Intel's Gaudi 3 AI chips use CoWoS advanced packaging, which is 3.3x the size of the TSMC photomask, and can only cut about 16 wafers. Moving forward, we'll see an increase to 5.5x, with the number of wafers being cut becoming less. A list of chips being fabbed on TSMC's new 3nm process node:
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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.
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.
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 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'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.
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.
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.
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.
TSMC's advanced chip production lines are at full capacity due to high demand for AI chips and mobile processors. This highlights TSMC's dominance in the semiconductor industry and the growing importance of AI technology.
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2 Sources
NVIDIA is set to release its next-generation 'Rubin' AI GPU architecture six months ahead of schedule, leveraging TSMC's 3nm process and HBM4 memory technology. This move aims to maintain NVIDIA's dominance in the AI chip market amidst growing demand and competition.
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AMD is fast-tracking the release of its most powerful AI GPU, the Instinct MI350, to mid-2025 in an effort to compete with Nvidia's Blackwell series and capture a larger share of the booming AI hardware market.
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AMD is poised to become the second major customer for TSMC's Arizona fab, potentially manufacturing high-performance AI chips starting in 2025. This move signifies a significant step towards establishing a robust AI chip supply chain in the United States.
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AMD announces its new MI325X AI accelerator chip, set to enter mass production in Q4 2024, aiming to compete with Nvidia's upcoming Blackwell architecture in the rapidly growing AI chip market.
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