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1Clear out junk files and repair common Windows errors2Fix the driver behind crashes, sound loss and screen glitches3Repair Windows errors before they cause bigger problemsASML and TSMC do different, complementary jobs in making advanced AI chips. ASML supplies lithography equipment and related services that chipmakers use in factories; TSMC uses manufacturing equipment, including lithography systems, to fabricate chips designed by customers. TSMC can also package logic chips with high-bandwidth memory (HBM). ASML does not make finished AI chips, and TSMC is not an equipment maker.
Where ASML and TSMC sit in the production chain
A simplified AI-chip supply chain runs from design, to wafer fabrication, to packaging. Equipment suppliers support the fabrication stage, while foundries turn customer designs into silicon. Depending on the product, packaging then connects logic dies with memory and other components.
| Company | Role | What it supplies | Position in production |
|---|---|---|---|
| ASML | Semiconductor equipment supplier | Lithography systems, software and services | Tools used by chipmakers during wafer manufacturing |
| TSMC | Pure-play foundry | Manufactured wafers and advanced packaging services | Fabricates customer chip designs and can integrate components in packages |
The distinction is about their roles, not an exclusive supplier relationship: ASML provides one important category of equipment, while a chip factory depends on a broader set of tools, materials and suppliers.
What ASML does for chip manufacturing
ASML makes lithography systems, along with software and services used in semiconductor manufacturing. Lithography projects patterns onto a wafer as part of the process for building chip features. It is an essential step, but it is not the entire manufacturing process and does not turn a design into a finished chip on its own.
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ASML says its extreme ultraviolet (EUV) lithography uses light with a 13.5-nanometer wavelength and plays a critical role in high-volume production of leading-edge chips. That describes the role of EUV in manufacturing; it does not mean every chip uses EUV or that ASML itself fabricates the resulting chips. ASML’s EUV lithography overview explains the technology.
What TSMC does as a foundry
TSMC manufactures semiconductor products to customer designs using its process technologies and production capacity. It describes itself as a pure-play foundry and says it does not design or market semiconductor products under its own name. In practical terms, a customer can focus on designing and distributing a chip while a foundry handles its wafer fabrication.
TSMC’s Chairman and CEO C.C. Wei described the foundry’s responsibility in the company’s 2024 annual report letter as supporting customers with advanced technology and capacity. The company’s annual reports explain its foundry model and operations.
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- Dual-Brain Hybrid Power: Combines the Qualcomm Dragonwing QRB2210 MPU (Quad-core Arm Cortex-A53 @ 2.0 GHz CPU, Adreno GPU, AI acceleration) and the real-time, low-power STM32U585 MCU for advanced applications like object recognition, voice commands, and motion detection.
- AI & Linux Capabilities: Unlocks AI-powered vision and sound solutions; runs Linux Debian OS for coding in Python and supports the Arduino ecosystem with libraries and Sketches; quick start with Arduino App Lab.
- Advanced Features: Equipped with 2 GB LPDDR4 RAM, 16 GB eMMC built-in storage, ideal to develop in PC-connected mode, running the OS, Python scripts, and basic network services (SSH) without a demanding GUI or heavy multitasking; great for lightweight AI and memory-optimized TinyML applications, needing local storage for basic OS and core libraries. Dual-band Wi-Fi 5 (2.4/5 GHz), Bluetooth 5.1, and high-speed headers for vision, audio, and display peripherals.
- Seamless Expansion & Connectivity: Features the classic UNO form factor for shields compatibility, an 8x13 LED matrix, and a Qwiic connector for easy expansion with Modulino nodes; power and connect via the USB-C connector.
- Intended Use & Development: The perfect platform for prototyping robotics or IoT projects, empowering innovators with a unified development experience to mix Arduino Sketches, Python scripts, and containerized AI models in a single interface.
Why AI chips involve packaging and HBM, not just wafers
Fabricating the logic die is only part of producing some high-performance computing (HPC) systems. TSMC describes its CoWoS advanced packaging technology as integrating multiple system-on-chip (SoC) chips with HBM stacks. HBM is high-bandwidth memory placed close to processing logic in a package to support demanding data movement needs.
This is one example, not a universal recipe for AI accelerators: designs differ, and not every AI chip uses the same memory or package arrangement. It does show why the supply chain includes memory and package-level integration as well as lithography and wafer fabrication. ASML’s 2025 reporting also identifies HBM and DDR5 investment as important AI-related memory drivers, alongside leading-edge foundry demand. TSMC’s 3DFabric page describes its advanced packaging technologies.
What TSMC’s 2025 figures say—and what they do not
TSMC reported the following figures for its own 2025 operations. They are company-reported operating statistics, not estimates of the entire semiconductor industry or statements of a 2026 run rate.
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- The design with built-in RISC-V MCU supports low-power fast startup, 250ms fast capture, and simultaneous loading of AI model library, enabling facial recognition to be completed within 1 second
| TSMC-reported 2025 measure | Reported value |
|---|---|
| Wafer revenue from advanced technologies (7 nm and beyond) | 74% |
| 12-inch-equivalent wafers shipped | 15.0 million |
| Products manufactured for customers | 12,682 products for 534 customers |
These figures illustrate the scale and advanced-technology focus of TSMC’s foundry operations. They do not mean TSMC supplies every advanced chip or that all of its output is for AI. TSMC’s annual reports provide the company’s reporting and definitions.
How to read capacity and technology announcements
Factory expansion, process roadmaps and international production schedules are time-sensitive. TSMC’s 2025 annual report says its N2 technology entered high-volume manufacturing in the fourth quarter of 2025, while other processes and facilities are described on future schedules. Treat a scheduled facility or planned capacity increase as a company target, not proof that it is already operating or guaranteed to arrive on time. TSMC’s 2025 annual report is the relevant dated reference for those plans.
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Common questions about ASML, TSMC and AI chips
Does ASML make AI chips?
No. ASML supplies lithography systems and related services used by chip manufacturers. The foundry, such as TSMC, fabricates customer-designed chips.
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What does ASML do for TSMC?
ASML supplies lithography equipment and services used in semiconductor manufacturing. TSMC is a foundry that uses equipment from a broad supplier ecosystem; ASML is not the source of all the tools or materials a fab needs.
Does TSMC design its own chips?
TSMC says it operates as a pure-play foundry and does not design or market semiconductor products under its own name. Its role is to manufacture customer products using its process technologies and capacity.
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