Google in talks with Samsung to make part of next-gen chip, The Information reports
Google is in talks with Samsung Electronics to manufacture a component of its next-gen AI processor, codenamed 'Icefish,' using 2-nanometer technology, while TSMC will handle the main computing part. The deal, if finalized, would bolster Samsung’s contract chip-manufacturing business and could see mass production as early as 2028, following a similar $16.5 billion Tesla deal secured in 2025.
Alphabet’s Google is negotiating with Samsung Electronics to produce a memory-connecting component for its next-generation AI chip, codenamed Icefish, according to a report by The Information. Samsung would use its advanced 2-nanometer process technology for this part, while TSMC is expected to manufacture the main computing component of the tensor processing unit (TPU). The chip is still in development, with potential mass production starting as early as 2028. Google is collaborating with chip firm MediaTek on the design. A successful partnership would mark a significant win for Samsung, which has been expanding its contract chip-manufacturing business. The 2nm process technology is designed to enhance chip performance, efficiency, and AI capabilities. This development comes as Google seeks to diversify its chip manufacturing beyond TSMC, which has faced challenges meeting surging AI demand. Earlier this month, The Information reported Google was also in talks with Intel to produce over three million TPUs by 2028. Google’s custom AI chips have positioned it as a competitor to Nvidia’s dominant graphics processors, with rising TPU sales driving growth in its cloud division. Google unveiled two new custom AI chips in April, tailored for training AI models and inference tasks. Samsung, which declined to comment, previously announced plans to secure more customers for its advanced chip manufacturing and is considering a second Texas plant to increase production capacity. The company already secured a $16.5 billion deal with Tesla in July 2025 to produce AI chips using the same 2nm process technology.
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