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Samsung Electro-Mechanics Lands $780 Million AI Server MLCC Deal with Global Tech Giant
๐Ÿ‡ฐ๐Ÿ‡ท South Korea /Technology

Samsung Electro-Mechanics Lands $780 Million AI Server MLCC Deal with Global Tech Giant

From Dong-A Ilbo · () Korean

Translated from Korean and summarized by DistantNews. Read the original for the full story.

At a glance

News Official statement New plan
  • Samsung Electro-Mechanics announced a one-year, 1.072 trillion won contract to supply MLCCs for AI servers to an undisclosed global technology company.
  • The deal is the companyโ€™s largest single MLCC supply contract and will cover deliveries from Jan. 1 through Dec. 31 next year.
  • AI servers use more than 10 times as many MLCCs as conventional servers, while their high-temperature and high-voltage operating conditions create high technical barriers.

Samsung Electro-Mechanics has secured what it describes as its largest single multilayer ceramic capacitor supply contract, worth about 1.072 trillion won, or $780 million.

The company disclosed the long-term agreement with an unnamed global technology company on the first day of the month. It will supply components for artificial intelligence servers for one year, from Jan. 1 through Dec. 31 next year.

The customerโ€™s identity remains confidential under a non-disclosure clause. Industry observers believe it is one of the worldโ€™s AI semiconductor companies, although no name has been released.

MLCCs regulate current in electronic circuits and help prevent signal interference between components. AI servers require more than 10 times the number of MLCCs used in ordinary servers. These parts must also operate continuously in high-temperature and high-voltage environments, limiting the number of companies able to meet the technical requirements.

The contract comes as global investment in AI data-center infrastructure expands, increasing the share of Samsung Electro-Mechanicsโ€™ business tied to AI server MLCCs.

About this summary

Originally published by Dong-A Ilbo in Korean. Translated, summarized, and contextualized automatically by DistantNews, with a note on how the source frames the story. Not individually reviewed before publishing. How this works.