NAND flash: AI inference boom lifts eSSDs to 48% of shipments
The AI hardware story keeps moving down the stack. This week's data from Counterpoint Research shows the shift from training to inference is now reshaping the memory market — and NAND flash makers are posting record revenue because of it.
Server-grade enterprise SSDs hit 48% of all NAND flash bits shipped in Q2 2026 — nearly double their 26% share a year earlier — and the AI-driven demand surge pushed industry revenue to a record, roughly five times its level in Q2 2025.
According to Counterpoint Research's Q2 Memory & Storage Tracker, the cause is the industry's migration from training to inference. Serving AI models at scale demands storage that can hold KV caches and datasets at high speed and low power, so hyperscalers are buying eSSDs in volumes the market has never seen. The scramble left consumer supply short and pushed consumer SSD prices to record highs. Counterpoint expects server eSSDs to absorb more than half of all NAND bits by the end of the year.
The boom is also reshuffling the supplier pecking order. Samsung kept the shipment crown with a 25% share, down from 32% two years ago as it prioritizes higher-margin DRAM; SK hynix, boosted by subsidiary Solidigm's 40% quarter-over-quarter bit growth, took second at 22%. The milestone belongs to China's YMTC: a 14% share put it in the global top three for the first time, overtaking Kioxia on the back of 22% year-over-year shipment growth and 267-layer 3D NAND in mass production.
The catch — and the part worth watching — is that volume and profit are diverging. YMTC finished only fifth by revenue because its mix is still consumer-heavy, with little of the high-priced data-center eSSD business. Counterpoint's verdict frames the next year: with servers set to take most NAND bits, profitability through 2027 will be decided less by who ships the most, and more by who ships the right mix.
For anyone tracking AI economics, this is the storage layer's coming-out party. GPUs and power dominated the buildout narrative for two years; now the memory market's center of gravity is moving to the inference era, where the cost of keeping models answerable — caches, datasets, fast low-power storage — starts to rival the cost of training them.
What to watch: whether server eSSDs cross the half-market mark by year-end, and whether YMTC's shift toward data-center drives turns its top-three shipment rank into top-three revenue.
Storage is becoming the next AI bottleneck — are you seeing it in your cloud bills? Tell us in the comments.
