
SK Hynix Weighs Solidigm IPO at Up to $150 Billion Valuation
SK Hynix is weighing a Solidigm IPO that could value the former Intel NAND unit at up to $150 billion, turning an AI-era storage play into one of the largest chip listings.
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- Tom Whitfield
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SK Hynix is weighing an initial public offering for Solidigm that could value the NAND flash unit at up to $150 billion, according to a report by ET Electronics. That figure, if reached, would place Solidigm among the most valuable semiconductor companies ever taken public.
The reported valuation marks a sharp turn in how the market prices enterprise SSD and NAND flash assets. Solidigm was formed in 2021, when SK Hynix completed its acquisition of Intel's NAND business in a deal valued at roughly $7 billion for the first closing. A $150 billion listing would represent a re-rating of more than an order of magnitude against that purchase price.
What is Solidigm?
Solidigm operates the former Intel NAND and SSD portfolio, which SK Hynix absorbed in two stages. The unit focuses on enterprise SSDs built on quad-level cell (QLC) NAND, where it holds a leading position in high-capacity data center drives.
Demand for those drives has grown quickly. Hyperscale data centers buy large QLC SSDs to store training datasets and inference workloads alongside conventional hard drives. That demand sits behind the reported valuation.
The takeaway: Solidigm is no longer a legacy Intel asset being digested, but a standalone candidate the market may price as a data center storage platform.
What would the IPO change?
A listing would give SK Hynix a way to crystallize the value of the NAND business separately from its core DRAM operations, where it ranks second globally behind Samsung. It would also provide Solidigm with its own currency for investment in next-generation NAND technology.
For investors, the offering would create a rare pure-play exposure to enterprise SSDs, a segment that benefits directly from AI infrastructure buildout. Most listed memory makers sell DRAM and NAND together, which blurs the performance of each product line.
Any deal remains at the consideration stage. The report describes the valuation as a ceiling of up to $150 billion, not a confirmed figure, and no timeline for a listing has been announced.
The takeaway: an IPO would separate NAND economics from SK Hynix's DRAM story and open a dedicated way to invest in AI-driven storage demand.
Why now?
The memory market has entered a strong upcycle. AI server makers have absorbed DRAM supply through high-bandwidth memory and conventional modules, and NAND pricing has firmed as data center storage requirements climb. Higher prices improve the earnings base against which any listing would be valued.
SK Hynix itself has been the clearest beneficiary of the AI memory cycle, supplying HBM to major accelerator vendors. A Solidigm listing would let the Korean parent return focus, and capital, to that HBM race while monetizing the storage franchise.
The takeaway: a rising memory cycle and AI storage demand give SK Hynix its best window in years to test the market's appetite for Solidigm.
What are the open questions?
Several details remain unresolved. The report does not specify an exchange, a listing venue, an expected float size, or whether SK Hynix would retain majority control after the offering. Valuations of up to $150 billion for a NAND unit would exceed several established memory companies' market capitalizations, so bankers will need to defend the number with order books.
The competitive picture also matters. Samsung and Kioxia, along with Western Digital's spin-off Sandisk, all target the same enterprise QLC segment, and pricing discipline in NAND has historically broken down when all producers expand at once.
If the IPO proceeds, its final pricing will offer the clearest read yet on how much the market believes AI storage demand has permanently changed the economics of the NAND business.
Source: Google News: semiconductors
More from Tom Whitfield
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Staff writer covering companies, deals and strategy in Semiconductors, chip manufacturing, hardware, AI compute at Chip Dispatch.
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