SK Hynix to double wafer capacity by 2030 as AI boom drives HBM demand

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SK Hynix announced plans to double its wafer capacity over the next five years, driven by surging demand for high-bandwidth memory chips used in AI systems. Chairman Chey Tae-won warned that memory supply bottlenecks could persist through 2030, while expressing hopes to become a major HBM supplier for Nvidia's upcoming Vera Rubin system.

SK Hynix Plans Massive Expansion Amid AI-Driven Demand

SK Hynix aims to double wafer capacity over the next five years, a bold expansion plan announced by Chey Tae-won, chairman of parent company SK Group, at the Computex conference in Taipei

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. The South Korean memory chip unit is positioning itself to capture growing demand for high-bandwidth memory (HBM) chips, which have become critical components in artificial intelligence systems. "We are going to double the whole capacity over the next five years ... there are a lot of obstacles and hurdles, but we will get over them and expand," Chey told reporters

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Source: Reuters

Source: Reuters

Memory Supply Bottlenecks Expected Through 2030

Chey Tae-won reiterated warnings he first issued in March about persistent chip wafer shortage conditions, stating that memory supply bottlenecks are likely to continue through 2030

1

. This forecast underscores the structural shifts occurring in the memory industry as AI applications consume unprecedented amounts of memory resources. The SK Group chairman emphasized that Nvidia's upcoming AI personal computer architecture would require substantial amounts of memory, supporting long-term demand growth

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. Chey also noted the company needs more partnerships in Taiwan, not just with TSMC, the world's largest contract chipmaker

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SK Hynix Dominates HBM Market as Nvidia Supplier

SK Hynix has emerged as Nvidia's leading supplier of HBM chips, commanding a 58% share in the global HBM market in the first quarter, followed by Samsung and Micron, each with a 21% share, according to Counterpoint Research

1

. Chey expressed hopes that his company can become a major high-bandwidth memory supplier for the Nvidia Vera Rubin system, the next generation of AI computing platforms

1

. Last week, SK Hynix topped $1 trillion in market value for the first time, joining rivals Samsung Electronics and Micron Technology in reaching the milestone on an AI-driven rally

1

.

AI Boom Reshapes Memory Industry Economics

The AI boom is fundamentally transforming the traditionally cyclical memory industry, with analysts projecting sustained growth rather than the boom-bust patterns that have historically characterized the sector

1

. Goldman Sachs raised its 2028 operating profit forecasts for SK Hynix and Samsung Electronics by 24% and 23.3%, respectively, to 454 trillion won ($299.62 billion) and 610 trillion won, citing sustained AI-driven demand

1

. This shift signals that memory manufacturers may need to maintain aggressive capacity expansion plans to meet the voracious appetite of AI workloads, which require far more memory bandwidth than traditional computing applications.🟡 untrained_text_content=🟡### SK Hynix Plans Massive Expansion Amid AI-Driven Demand

SK Hynix aims to double wafer capacity over the next five years, a bold expansion plan announced by Chey Tae-won, chairman of parent company SK Group, at the Computex conference in Taipei

1

. The South Korean memory chip unit is positioning itself to capture growing demand for high-bandwidth memory (HBM) chips, which have become critical components in artificial intelligence systems. "We are going to double the whole capacity over the next five years ... there are a lot of obstacles and hurdles, but we will get over them and expand," Chey told reporters

2

.

Source: Reuters

Source: Reuters

Memory Supply Bottlenecks Expected Through 2030

Chey Tae-won reiterated warnings he first issued in March about persistent chip wafer shortage conditions, stating that memory supply bottlenecks are likely to continue through 2030

1

. This forecast underscores the structural shifts occurring in the memory industry as AI applications consume unprecedented amounts of memory resources. The SK Group chairman emphasized that Nvidia's upcoming AI personal computer architecture would require substantial amounts of memory, supporting long-term demand growth

2

. Chey also noted the company needs more partnerships in Taiwan, not just with TSMC, the world's largest contract chipmaker

1

.

SK Hynix Dominates HBM Market as Nvidia Supplier

SK Hynix has emerged as Nvidia's leading supplier of HBM chips, commanding a 58% share in the global HBM market in the first quarter, followed by Samsung and Micron, each with a 21% share, according to Counterpoint Research

1

. Chey expressed hopes that his company can become a major high-bandwidth memory supplier for the Nvidia Vera Rubin system, the next generation of AI computing platforms

1

. Last week, SK Hynix topped $1 trillion in market value for the first time, joining rivals Samsung Electronics and Micron Technology in reaching the milestone on an AI-driven rally

1

.

AI Boom Reshapes Memory Industry Economics

The AI boom is fundamentally transforming the traditionally cyclical memory industry, with analysts projecting sustained growth rather than the boom-bust patterns that have historically characterized the sector

1

. Goldman Sachs raised its 2028 operating profit forecasts for SK Hynix and Samsung Electronics by 24% and 23.3%, respectively, to 454 trillion won ($299.62 billion) and 610 trillion won, citing sustained AI-driven demand

1

. This shift signals that memory manufacturers may need to maintain aggressive capacity expansion plans to meet the voracious appetite of AI workloads, which require far more memory bandwidth than traditional computing applications.

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