Sources: SK Hynix's US-based NAND and SSD subsidiary Solidigm is exploring an IPO as early as 2027 that could raise $15B and value the unit at up to $150B
Chipmaker SK Hynix's (000660.KS) Solidigm is considering an initial public offering as early as next year that could value the US subsidiary …
Context & Ripple Effects
The reported Solidigm offering follows SK Hynix’s January restructuring of the California subsidiary into a US-based AI company with at least $10 billion committed, and Solidigm’s reported consideration of a US NAND manufacturing site. It would extend the parent’s use of US capital markets, after its confidential SEC filing for US depositary receipts earlier in 2026.
The proposal remains unconfirmed, but a separately valued Solidigm would distinguish the NAND-and-SSD business from SK Hynix’s wider memory operations at a time when the group is expanding its AI-computing and data-center investment scope.
First-order effects
- If pursued, the offering would give Solidigm a standalone public valuation and equity currency rather than leaving its financing and valuation embedded within SK Hynix.
- SK Hynix would face a clearer separation between its ownership stake in Solidigm and the subsidiary’s capital needs, including the reported US NAND-factory option.
Second-order effects
- A standalone Solidigm valuation would give investors a more direct basis for pricing NAND and SSD exposure separately from SK Hynix’s broader memory portfolio.
- The proposed listing could widen Solidigm’s funding choices for US expansion, reducing its dependence on capital allocated by SK Hynix if the company proceeds with both plans.
Third-order effects
- If memory suppliers increasingly separate storage businesses from AI-focused operations, public markets may assign different capital costs and valuations to NAND/SSD and AI-memory assets rather than treating memory as one market.
- The combination of a US operating structure, proposed domestic manufacturing, and a potential US listing points toward capital-market positioning becoming part of how memory companies fund AI-era infrastructure.
The trend: Memory suppliers are increasingly positioning distinct parts of their portfolios around the different financing, manufacturing, and valuation demands of AI infrastructure and storage markets.