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

Ramish Zafar
TSMC's 3nm Supply Runs Short Amind Huge AI Demand: NVIDIA, Apple, AMD, Qualcomm Considering Raising Chip Prices 1

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.

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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 the high bandwidth memory market. These chip products, which are able to handle large volumes of data per unit of time, are essential for the smooth functioning of A.I. systems that have to process copious amounts of data to deliver appropriate responses to queries.

TSMC's chief executive officer Dr. C.C. Wei. Image: TSMC

These fresh rumors follow after OpenAI's Sam Altman has been touring the world to raise funds for artificial intelligence semiconductors. Altman's firm took the world by storm through ChatGPT and is widely believed to be the pioneer for A.I., at least when it comes to large language models, especially when used in the public sphere.

One of the biggest constraints faced by firms developing models like ChatGPT is computing power. This was also evident in comments made by Meta chief Mark Zuckerberg during the firm's latest earnings call. At the event, Zuckerberg shared that one of his earliest errors when it came to A.I. was not garnering sufficient computing resources to ensure smooth progress. Subsequently, the billionaire now plans to rectify these errors and order hundreds of thousands of GPUs from NVIDIA Corporation this year.

South Korean analysts quoted by the Taiwanese press believe that TSMC and SK hynix's partnership will enable the duo to compete more effectively with Samsung Electronics. Samsung is the biggest memory manufacturer in the world and benefits from nearly unlimited resources courtesy of its vast business interests that range from making washing machines to smartphones.

They add that SK hynix makes some of the best HBM chips in the world, building on the rumors that suggest that the partnership between the Taiwanese and Korean companies will also see them work together in packaging technologies. These technologies are the biggest bottleneck that firms like TSMC face when making A.I. chips right now, with more capacity expected to come online soon to meet growing demand.

Ramish Zafar Photo

About the author: Ramish is a seasoned technology writer and editor with more than a decade of experience. He specializes in semiconductor fabrication and market analysis. With a background in finance and supply chain management - via his bachelors in Finance and a micromasters in supply chain management from MIT - Ramish combines financial rigor with deep industry insight to deliver accurate and authoritative coverage.

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