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    1. Home
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    3. >TSMC shows smaller, faster chips without a pricey new tool from ASML 
    Finance

    Tsmc Shows Smaller, Faster Chips Without a Pricey New Tool From Asml 

    Published by Global Banking & Finance Review®

    Posted on April 22, 2026

    3 min read

    Last updated: April 23, 2026

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    Tags:FinanceSemiconductorstechnologyAI Chips

    Quick Summary

    TSMC unveiled its A13 (AI‑focused) and N2U (cost‑sensitive) chip technologies, which leverage its existing EUV equipment rather than adopting costly $400 million ASML high‑NA machines. It also previewed advanced multi‑chip stitching by 2028, growing die and memory integration for AI workloads.

    Global Banking & Finance Awards 2026 — Call for Entries

    TSMC Unveils Next-Gen Chip Technology Bypassing Costly ASML Tools

    TSMC's Latest Advancements in Chip Manufacturing

    By Stephen Nellis and Max A. Cherney

    Introduction to TSMC's New Technologies

    SANTA CLARA, California, April 22 (Reuters) - Taiwan Semiconductor Manufacturing Co on Wednesday showed its newest generation of chip manufacturing technology, saying it expects to be able to create smaller, faster chips without requiring expensive new machines from ASML.

    Details of A13 and N2U Chipmaking Technologies

    TSMC, the global giant that makes chips for Nvidia, Apple and Google, among many others, showed two improvements of chipmaking technology: One called A13, which will go into production in 2029 and likely be used for artificial intelligence chips, and one called N2U, a more affordable option that can be used to make chips for phones and laptops, as well as AI chips. 

    Leveraging Existing EUV Machines

    For all of the technologies TSMC showed on Wednesday, it is planning to squeeze more gains out of its existing extreme-ultraviolet lithography (EUV) machines from Dutch supplier ASML, rather than move to a newer generation of "high NA" EUV machines, which, at $400 million each, are roughly double the cost of the older machines. 

    "This is where I think our R&D has done exceptionally well in terms of leveraging existing EUV technology while setting an aggressive technology scaling roadmap," Kevin Zhang, deputy co-chief operations officer and senior vice president, told Reuters. "This is definitely a strength." 

    Advancements in AI Chip Packaging

    But the gains from smaller and faster chips are modest, and TSMC also showed plans for new technologies in stitching complex AI chips together, which is where analysts expect companies like Nvidia to get the most performance gains in coming years. Where current AI offerings like Nvidia's Vera Rubin, which will come out this year and is made by TSMC, have two large computing chips and eight stacks of high-bandwidth memory, TSMC on Wednesday said that by 2028 it will have the ability to stitch together 10 large chips and 20 memory stacks. 

    The Evolution of Moore's Law

    Named after Intel CEO Gordon Moore, his eponymous law predicted that computing power would roughly double every two years while at the same time get cheaper. In recent years, some such as Nvidia's CEO Jensen Huang have said that it no longer holds true. 

    TSMC is effectively extending Moore's law through the company's technology that stitches multiple chips together, according to Dan Hutcheson, vice chair of TechInsights. 

    Multi-Die Packaging and Its Impact

    "Moore’s law is morphing from a monolithic, single die in a package to multi-die in a package," he said in an interview. "And that allows the power and performance gains." 

    Challenges in Advanced Chip Packaging

    But stitching together chips brings challenges of its own. The chips get hot as they operate, and the different materials used to package them together expand at different rates, creating a fresh set of challenges for chip designers. 

    Large chip packages can bend and crack, which were issues for Nvidia's Rubin AI processor, according to Ian Cutress, chief analyst at consultancy More Than Moore. 

    Addressing Reliability Concerns

    "(TSMC) aren't addressing directly how they are solving those challenges," Cutress said. 

    (Reporting by Stephen Nellis and Max Cherney in Santa Clara, California; Editing by Stephen Coates)

    References

    • TSMC reiterates it doesn't need High-NA EUV for 1.4nm-class process technology
    • The Chip Stitching Revolution: TSMC’s Bold Leap into the Future of Semiconductor Technology

    Table of Contents

    • TSMC's Latest Advancements in Chip Manufacturing

    Key Takeaways

    • •TSMC’s A13 (AI chips, debuting 2029) and N2U (phones, laptops, AI) build on existing low‑NA EUV infrastructure, avoiding high‑NA expense (~$400 million per unit) (tomshardware.com)
    • •TSMC continues extending its current EUV toolset for advanced nodes (A14, A16, etc.), delaying high‑NA adoption until at least 2030, emphasizing ROI‑driven innovation ()

    Frequently Asked Questions about TSMC shows smaller, faster chips without a pricey new tool from ASML 

    1What new chip technologies did TSMC introduce?

    TSMC introduced A13, for high-end AI chips, coming in 2029, and N2U, an affordable chip manufacturing method for phones, laptops, and AI applications.

    2How is TSMC avoiding the need for expensive new ASML machines?

    TSMC is leveraging its existing EUV machines instead of moving to newer 'high NA' EUV machines, which are much more expensive.

  • Introduction to TSMC's New Technologies
  • Details of A13 and N2U Chipmaking Technologies
  • Leveraging Existing EUV Machines
  • Advancements in AI Chip Packaging
  • The Evolution of Moore's Law
  • Multi-Die Packaging and Its Impact
  • Challenges in Advanced Chip Packaging
  • Addressing Reliability Concerns
  • tomshardware.com
  • •By 2028, TSMC plans to stitch together 10 compute dies and 20 HBM stacks—pushing Moore’s Law via multi‑die integration, though thermal and packaging stress remain key design hurdles (ainvest.com)
  • 3What benefits do TSMC's new chip technologies offer?

    The technologies allow for smaller, faster chips, and advances in multi-die packaging for AI chips, enabling more chip and memory stacks to be combined.

    4What challenges are associated with advanced multi-die chip packaging?

    Packaging multiple chips increases heat and can cause expansion issues, leading to potential bending and cracking, as seen in Nvidia’s Rubin AI processor.

    5How is TSMC contributing to the extension of Moore's law?

    TSMC extends Moore's law by advancing chip packaging, moving from single die to multi-die packages for better power and performance.

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