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TSMC’s Secret Deal For Advanced A.I. Chips Revealed

This is not investment advice. The author has no position in any of the stocks mentioned. Wccftech.com has a disclosure and ethics policy.

As OpenAI's founder and chief Sam Altman starts beating the drums about the need to scale up global semiconductor fabrication to meet the demands of the budding artificial intelligence industry, reports from the Korean press are suggesting that the Taiwan Semiconductor Manufacturing Company (TSMC) and the Korean memory chip manufacturer SK hynix are teaming up to produce memory products for A.I. Along with processors and GPUs, memory chips are another crucial link in artificial intelligence processing since they are indispensable to the smooth functioning of A.I. models that must parse through millions of data points to provide intelligent responses to user queries or other complex problems.

TSMC and SK hynix's partnership is expected to enable them to take on Samsung, the world's biggest memory manufacturer, by allowing them to leverage their strengths in chip packaging and memory fabrication, believe South Korean semiconductor analysts.

Related Story TSMC Reportedly Increasing 3nm Wafer Production To 100,000 Monthly Units As It Is Receiving A Flood Of Orders From Clients, Including Apple

TSMC And SK hynix Seeking To Dominate Market For High Bandwidth Memory Suitable For Artificial Intelligence Use Cases Suggest Media Reports

TSMC's earnings conference call for its full year and fourth quarter of 2023 earnings results saw management strike an optimistic tone regarding artificial intelligence. TSMC's management, which had urged caution during the early phases of the A.I. wave last year, shared that it was confident that the firm was prepared to capture any demand in the growth of chips due to businesses and consumers starting to adopt A.I. in their daily lives and operations.

Unconfirmed reports in the Korean press suggest that the Taiwanese company is purportedly working on a project with SK hynix to establish a stronghold in

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