Samsung Electronics wins cutting-edge AI chip order from Japan’s Preferred Networks


SEOUL (Reuters) – Samsung Electronics said on Tuesday it won an order from Japanese artificial intelligence company Preferred Networks to make chips for AI applications using the South Korean firm’s 2-nanometre foundry process and advanced chip packaging service.
SEOUL (Reuters) – Samsung Electronics said on Tuesday it won an order from Japanese artificial intelligence company Preferred Networks to make chips for AI applications using the South Korean firm’s 2-nanometre foundry process and advanced chip packaging service.
It is the first order Samsung has revealed for its cutting-edge 2-nanometre chip contract manufacturing process. Samsung did not elaborate on the size of the order.
The chips will be made using high-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.
(Reporting by Joyce Lee; Editing by Christopher Cushing)
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans, enabling them to perform tasks such as problem-solving and decision-making.
A foundry process is a manufacturing method where materials are melted and poured into molds to create specific shapes and components, commonly used in semiconductor and chip production.
High-performance computing (HPC) refers to the use of supercomputers and parallel processing techniques for solving complex computational problems, often used in scientific research and simulations.
Generative AI refers to algorithms that can create new content, such as text, images, or music, based on training data, often used in applications like chatbots and creative tools.
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