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SK Hynix to double wafer capacity amid AI memory shortage
ERIK VAN KLINKEN
2026年6月2日 GMT+8 17:20
The memory crunch is raising prices for hyperscalers, enterprises and consumers. SK Hynix is benefitting enormously from it, just like the other two major memory manufacturers Micron and Samsung. However, unlike those two rivals, SK Hynix plans to double its memory-chip wafer production
2026-06-02
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2026-06-02
Chosunbiz
By
Choi Hyo-jung
Published 2026.06.02. 18:07
Updated 2026.06.03. 00:39
Samsung Electronics and SK hynix moved to compete for leadership over high-bandwidth memory (HBM), which has emerged as a core component in the age of artificial intelligence (AI), at Computex 2026, Asia's largest IT and computing trade show, in Taipei, Taiwan. Samsung Electronics highlighted its technological competitiveness
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매일경제
Chey Tae-won, chairman of SK Group, declared that he would double SK hynix's production capacity within the next five years.
He also maintained his view that the supply shortage will continue until 2030 as demand for memory, including High Bandwidth Memory (HBM), surges amid the spread of AI.
On the 2nd, after touring the exhibition halls at COMPUTEX Taipei 2026 in Taipei, Taiwan, Chey told repo
2026-06-02
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biz.chosun.com
2026-06-02
Chosunbiz
By
Choi Hyo-jung
Published 2026.06.02. 16:39
Updated 2026.06.02. 16:39
Chey Tae-won, chairman of SK Group, projected that a memory supply shortage, including high-bandwidth memory (HBM), will continue through 2030 as demand for memory surges with the spread of artificial intelligence (AI). He also unveiled a plan to double SK hynix's wafer production capacity within the next five years to respon
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Home > Memory Shortages > Memory Chip Shortage Drives Smartphone and PC Component Costs Higher
Global DRAM shortages driven by AI datacentre expansion are pushing up component costs across smartphones, PCs and networking hard
2026-06-02
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2026-06-02
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2026-06-02
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2026-06-02
Energy-Storage.News
Engineering giant Siemens will develop a reference architecture purpose-built for Nvidia AI data centres, in collaboration with Fluence and incorporating nVent-aligned design considerations.
The reference design aims to translate Nvidia’s AI factory vision into a deployable, industrialised electrical, power and controls architecture for hyperscalers, co-location providers and specialised cloud in