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Applied Materials and TSMC team up at EPIC Center to fast-track AI chip development
Applied Materials and TSMC have announced a partnership to accelerate semiconductor technologies for AI, aiming to speed commercialization and improve the energy efficiency of chips spanning data centers and edge devices. The collaboration promises global supply chains, cloud services, and device makers faster access to advanced nodes and reduced time from development to high-volume manufacturing. Building on 30 years of collaboration Applied Materials said the innovation partnership with TSMC builds on more than 30 years of collaboration and will focus on co-innovating at Applied's EPIC Center in Silicon Valley to advance materials engineering, equipment innovation, and process integration technologies. The companies said the work is intended to deliver energy-efficient performance "from the data center to the edge," addressing demands driven by artificial intelligence and high-performance computing. Gary Dickerson, president and CEO of Applied Materials, described the move as strengthening a long-standing relationship and accelerating the development of technologies needed to address the rising complexity of the chipmaking roadmap. Dr. Y.J. Mii, executive vice president and co-chief operating officer at TSMC, said that evolving device architectures are increasing demands on materials engineering and process integration, and that industry-wide collaboration is required to meet AI challenges at a global scale. Where the real work happens The work at the EPIC Center will target materials engineering innovations for advanced logic scaling, with a focus on process technologies aimed at improving power, performance, and area across leading-edge nodes. The partners have identified the development of new materials and next-generation manufacturing equipment to support the precise formation of complex three-dimensional transistor and interconnect structures, along with advanced process integration approaches to improve yield, variability control, and reliability as devices move toward vertically stacked and more highly scaled architectures. A US$5 billion bet on the future Applied noted that as a founding partner of the EPIC Center, TSMC will gain earlier access to Applied's innovation teams and next-generation equipment, which Applied said helps accelerate the path from technology development to high-volume manufacturing. The company described the EPIC Center as a US$5 billion investment -- the largest-ever US investment in advanced semiconductor equipment R&D -- set to become operationally ready this year and designed to reduce the time required to commercialize technologies from early research to full-scale manufacturing.
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Applied Materials Expands TSMC Partnership to Speed Up AI Chip Development
Applied Materials said it would build on its partnership with Taiwan Semiconductor Manufacturing Co. with a new initiative that aims to accelerate the development and commercialization of semiconductor technologies needed for the next wave of artificial-intelligence computing. The companies said Monday they will work together at Applied's Equipment and Process Innovation and Commercialization Center--or EPIC Center, located in Silicon Valley--to co-develop and advance materials engineering, equipment innovation, and process-integration technologies. The collaboration will focus on process technologies for leading-edge logic chips, new materials and manufacturing equipment for increasingly complex 3D transistor and interconnect structures, and process-integration approaches designed to improve yield, variability control and reliability, Applied Materials said. Chief Executive Gary Dickerson said the partnership would help accelerate the development of technologies needed to address growing complexity in semiconductor manufacturing. The EPIC Center is expected to be operationally ready this year, and represents a planned $5 billion investment over time, making it the largest U.S. investment in advanced semiconductor equipment research and development, Applied Materials said. At the center, TSMC will gain earlier access to Applied's engineering teams and next-generation equipment, helping accelerate the time from development to high-volume manufacturing, the company added.
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Applied Materials and TSMC have announced a partnership to fast-track AI chip development at the EPIC Center in Silicon Valley. The collaboration builds on 30 years of joint work and focuses on materials engineering, equipment innovation, and process integration to deliver energy-efficient chips for data centers and edge devices.

Applied Materials and TSMC have announced an expanded partnership aimed at accelerating semiconductor technologies for AI, marking a significant step in addressing the mounting demands of artificial intelligence and high-performance computing
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. The collaboration will take place at Applied's Equipment and Process Innovation and Commercialization Center—the EPIC Center—located in Silicon Valley, where both companies will co-develop advanced materials engineering, equipment innovation, and process integration technologies2
. This partnership promises to reduce the time from development to high-volume manufacturing, delivering faster access to advanced nodes for global supply chains, cloud services, and device makers.The partnership between Applied Materials and TSMC builds on more than 30 years of collaboration, but this new initiative represents a deeper commitment to fast-track AI chip development
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. Gary Dickerson, president and CEO of Applied Materials, emphasized that the move strengthens a long-standing relationship and accelerates the development of technologies needed to address the rising complexity of the chipmaking roadmap. Dr. Y.J. Mii, executive vice president and co-chief operating officer at TSMC, noted that evolving device architectures are increasing demands on materials engineering and process integration, requiring industry-wide collaboration to meet AI challenges at a global scale1
. The collaboration is designed to deliver energy-efficient performance from data centers to edge devices, addressing the power and performance requirements of next-generation AI applications.The work at the EPIC Center will focus on materials engineering innovations for advanced logic scaling, with particular attention to process technologies aimed at improving power, performance, and area across leading-edge nodes
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. The partners have identified the development of new materials and next-generation manufacturing equipment to support the precise formation of complex three-dimensional transistor and interconnect structures2
. The collaboration will also pursue advanced process-integration approaches designed to improve yield, variability control, and reliability as devices move toward vertically stacked and more highly scaled architectures1
. These leading-edge logic chips are essential for powering the next wave of AI computing, from training large language models in data centers to running inference workloads on edge devices.Related Stories
As a founding partner of the EPIC Center, TSMC will gain earlier access to Applied's innovation teams and next-generation equipment, which helps accelerate the path from technology development to commercialization
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. Applied Materials described the EPIC Center as a $5 billion investment—the largest-ever U.S. investment in advanced semiconductor equipment R&D—set to become operationally ready this year2
. This massive investment in semiconductor R&D signals the industry's commitment to maintaining technological leadership as AI workloads continue to drive demand for more powerful and energy-efficient chips. The facility is designed to reduce the time required to commercialize technologies from early research to full-scale manufacturing, giving both companies a competitive edge in bringing advanced nodes to market faster. For AI developers and cloud providers, this means access to cutting-edge chip technologies that can handle increasingly complex workloads while managing energy efficiency concerns that are becoming critical as data centers scale.Summarized by
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