SK Hynix to Break Ground on $3.87 Billion Indiana HBM Plant

Artificial intelligence data-center spending is driving demand for high-bandwidth memory and enterprise NAND, turning memory capacity into a strategic bottleneck for the technology industry. SK hynix, a leading supplier of HBM and advanced DRAM, is expanding in South Korea to secure the output needed for AI accelerators and servers. The scale of the commitment signals that the company sees AI-related memory demand as a structural shift, not merely another short-lived semiconductor cycle.

On Aug. 7, 2026, SK hynix said its board approved 54.3 trillion won ($38.4 billion) of investment through 2031, allocating 35.2 trillion won to the Y2 fab in Yongin and 19.1 trillion won to the M17 plant in Cheongju. Y2 will produce next-generation DRAM, including HBM, while M17 will focus on enterprise NAND. Cleanrooms are expected to begin opening in 2029, and the company has advanced completion of its broader Yongin cluster to 2033 from 2045.

SK Hynix, the global leader in high-bandwidth memory for AI, decided to issue American depositary receipts to reinforce its technological edge and raise about 15 trillion won for advanced chipmaking equipment from ASML. The move is intended to fund its expansion through U.S. capital markets. It would be the largest foreign IPO in Nasdaq’s history and is targeting a valuation of $29 billion, with the market expecting AI to break the traditional semiconductor cycle.

Despite volatility in its parent company’s share price, SK Hynix’s ADR offering was seven times oversubscribed in the United States. The ADRs were ultimately priced at a premium at $149 and formally began trading on Nasdaq on July 13. They opened at $170 and closed their first session up 13%. The rush into AI memory has drawn global investor interest, while rival Samsung Electronics is also reportedly considering an ADR offering.

High-bandwidth memory (HBM) delivers large volumes of data to AI accelerators with high bandwidth and low power consumption, making it a critical component in the race for generative AI computing power. After a downturn in the memory market, SK hynix rebounded through technology investment and its supply partnership with Nvidia, becoming a key company in the global AI semiconductor supply chain.

South Korean broadcaster KBS was granted access to SK hynix’s M16 wafer fabrication plant for the first time. Its program “The World Seen for the First Time” showed the company’s secret HBM production line operating around the clock, along with employees at work. The report did not specify an air date, investment amount or production capacity, but footage from the facility showed the company working at full speed to meet demand for AI memory.

Generative AI is driving demand for GPUs and servers, while high-bandwidth memory, or HBM, has become a critical component of AI accelerators because it can transfer large volumes of data at high speed. Packaging and testing capacity has also emerged as a supply bottleneck. To expand HBM supply and connect with the front-end production process at its M15X fab in Cheongju, SK Hynix decided to build P&T7 and strengthen its AI memory operations.

SK Hynix broke ground on P&T7 on April 22, 2026, at the Cheongju Technopolis industrial complex in North Chungcheong Province, South Korea. The project entails a total investment of 19 trillion won and covers about 230,000 square meters. The wafer-testing, or WT, production line is scheduled for completion in October 2027, followed by the wafer-level packaging, or WLP, line in February 2028.

High-bandwidth memory, or HBM, is a critical component that gives AI accelerators rapid access to data, and supply has fallen short as data centers expand worldwide. SK hynix currently controls about 60% of the HBM market and is using advanced packaging and next-generation products to strengthen its lead while competing with Samsung Electronics and Micron for orders from major cloud providers.

SK Group Chairman Chey Tae-won recently pledged to sharply increase SK hynix's HBM output and accelerate the latest HBM4 into mass production to narrow the supply-demand gap for AI chips. He said adding wafer capacity takes at least four years and that tight global supplies could persist until 2030. The reports did not disclose the investment amount for the expansion or a specific production start date.