SK hynix projects AI infrastructure performance to grow 20-fold by 2030
SK hynix projected Wednesday that the performance scale of artificial intelligence (AI) infrastructure will grow roughly 20-fold by 2030, driven by rapidly rising demand for AI inference. Ahn Hyun, head of development at the Korean chip giant, made the projection during his keynote speech at the 2026 Semiconductor Exhibition (SEDEX), which opened earlier in the day for a three-day run in southern…
SK hynix has forecasted that the performance scale of artificial intelligence (AI) infrastructure will increase around 20 times by 2030, fueled by a surge in demand for AI inference, according to data presented by Ahn Hyun, the company's head of development. The CEO made this projection during his address at the 2026 Semiconductor Exhibition (SEDEX) in Seoul.
Ahn highlighted that the AI inference market is expanding across three dimensions - task complexity, the volume of information processed simultaneously, and the number of inference requests. These factors are collectively driving a rapid increase in demand for AI infrastructure. As the need for AI inference escalates, the importance of memory for storing and transferring massive amounts of data is also rising.
Specifically, the expanding capacity needs of key-value (KV) caches, which store and reuse data previously processed by AI models, require information to be distributed across various types of memory, including high-bandwidth memory (HBM) and dynamic random-access memory (DRAM).
Written by urgent.news from The Korea Times's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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