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    What’s Next in Semiconductors
    is 1 nanometer and beyond

    Chips power all our electronic devices, from computers and smartphones to medical equipment and automobiles. IBM continues to lead the industry in developing new designs and methods to make the semiconductors of the future smaller, faster, more energy efficient and reliable. We’re pushing the boundaries of logic scaling as well as chiplet technology and design, and with an ecosystem of partners, we’re moving innovations from our labs to the manufacturing line.

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    Overview

    IBM’s legacy of leadership in semiconductor research began at the dawn of the Computer Age, and is continuing to power the future of computing. Our technology has driven countless innovations for our development partners, as well as IBM’s Systems and Hybrid Cloud products. IBM’s world-class engineers and scientists across our global research labs have spearheaded groundbreaking accomplishments, such as the world’s first demonstration of a 2nm node testchip with second generation Nanosheet. Fundamental and early-stage research is carried out across our labs in Almaden, Zurich, and Yorktown Heights, exploring future semiconductor constructs and materials. More than 300 researchers in our Albany lab work on transferring these processes and devices to 300mm wafers in a state-of-the-art fabrication facility. Our Albany lab is also home to IBM’s AI Hardware Center, a joint research facility, exploring the future of devices and system architecture for tomorrow’s AI workloads with partners across a wide spectrum of industries. Learn more about IBM Research Albany
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    IBM and Rapidus form strategic partnership

    Rapidus, a newly-formed advanced logic company, will leverage IBM's semiconductor R&D leadership, including 2nm nanosheet CMOS, to build advanced semiconductor technology and an ecosystem in Japan.

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    AI Hardware Center

    The IBM Research AI Hardware Center is a global research collaboration hub dedicated to creating the next generation of systems and chips for AI workloads, as well as expanding joint research efforts across technology, architecture, and algorithms.

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