Memory & Storage AI Stocks
Memory and storage AI stocks make the HBM, DRAM, NAND, and enterprise storage that feed AI compute. High-bandwidth memory sits physically next to AI processors and is one of the tightest supply bottlenecks in the buildout: every accelerator ships with it, and capacity is booked out far in advance.
Market Cap
$2.96T
AI-Exposed Cap
$2.22T
24h Change
-2.63%
7d Change
+12.25%
Stocks
9
Market data as of the close on . Prices are end of day, not live.
# | Name | Price | 24h | 7d | Market Cap | Volume (24h) | 7d Chart |
|---|---|---|---|---|---|---|---|
| 1 | S SKHY | $189.28 | -3.12% | +8.24% | $1.35T | $2.6B | |
| 2 | M MU | $1,071.88 | -2.22% | +15.69% | $1.21T | $22.9B | |
| 3 | S SNDK | $1,816.57 | -3.73% | +19.51% | $265.98B | $13.9B | |
| 4 | H HOCPY | $144.08 | -0.76% | +0.23% | $48.06B | $748.5K | |
| 5 | N NTAP | $196.33 | -0.92% | +3.37% | $38.56B | $325.6M | |
| 6 | S STX | $923.86 | +5.30% | +19.70% | $20.20B | $3.0B | |
| 7 | W WDC | $473.69 | +1.96% | +13.60% | $19.20B | $2.4B | |
| 8 | S SIMO | $276.53 | +2.80% | +15.61% | $9.38B | $154.1M | |
| 9 | P PENG | $53.88 | -1.88% | +13.43% | $2.76B | $81.8M |
Frequently asked questions
What is HBM and why does it matter for AI investing?
HBM, high-bandwidth memory, is stacked memory bonded next to an AI processor so data can reach the compute fast enough to keep it busy. Each generation of AI accelerator uses more of it, and only a few manufacturers can produce it at scale, which has turned memory from a commodity cycle into an AI supply story.
Are memory stocks more cyclical than other AI stocks?
Historically yes: memory prices swing with supply and demand across many end markets. The AI buildout has added a large, price-insensitive buyer to that cycle, but it has not removed the cycle. Memory names tend to move harder in both directions than the broader AI universe.
New to the framework? The Start Here guide walks the whole buildout layer by layer, including where Memory & Storage fits.
Related reading
- What are AI infrastructure stocks? The 12 layers, explained · AI infrastructure stocks are the companies paid to build AI compute: chips, memory, networking, data centers, cooling and power. The 12 layers and the catch.