Samsung Electronics said on Tuesday it won an order from Japanese artificial intelligence (AI) company Preferred Networks to make chips for AI applications using the South Korean firm's two-nanometre foundry process and advanced chip packaging service.
It is the first order Samsung has revealed for its cutting-edge two-nanometre chip contract manufacturing process. Samsung did not elaborate on the size of the order.
The chips will be made using hi-tech chip architecture known as gate all-around (GAA) and multiple chips will be integrated in one package to enhance inter-connection speed and reduce size, Samsung said in a statement.
South Korea's Gaonchips Co designed the chips, Samsung said.
The chips will go toward Preferred Networks' high-performance computing hardware for generative AI technologies such as large language models, Junichiro Makino, Preferred Networks vice-president and chief technology officer of computing architecture, said in the statement.
Samsung wins cutting-edge AI chip order from Japan's Preferred Networks
Image: REUTERS/Kim Soo-hyeon
Samsung Electronics said on Tuesday it won an order from Japanese artificial intelligence (AI) company Preferred Networks to make chips for AI applications using the South Korean firm's two-nanometre foundry process and advanced chip packaging service.
It is the first order Samsung has revealed for its cutting-edge two-nanometre chip contract manufacturing process. Samsung did not elaborate on the size of the order.
The chips will be made using hi-tech chip architecture known as gate all-around (GAA) and multiple chips will be integrated in one package to enhance inter-connection speed and reduce size, Samsung said in a statement.
South Korea's Gaonchips Co designed the chips, Samsung said.
The chips will go toward Preferred Networks' high-performance computing hardware for generative AI technologies such as large language models, Junichiro Makino, Preferred Networks vice-president and chief technology officer of computing architecture, said in the statement.
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