# 美光成为华尔街新AI基础设施押注，HBM短缺带来定价权

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-06-29 00:22
- AIHOT 分数：56
- AIHOT 链接：https://aihot.virxact.com/items/cmqy04ty5030uslwfaoh2rbel
- 原文链接：https://x.com/rohanpaul_ai/status/2071267970677153987

## AI 摘要

美光是美国唯一高带宽内存（HBM）制造商，因AI服务器需求激增成为华尔街新宠。Q3营收414.6亿美元，毛利率84.6%，Q4指引490-510亿；利润同比增长15倍，调整后毛利率84.9%（去年39%）。全球DRAM市场高度集中，三星、SK海力士、美光合计占约90%收入；HBM细分领域SK海力士占58%，美光占21%。为打破内存行业周期性，美光签下16个价值220亿美元的战略客户协议，通过定金、价格下限和照付不议条款稳定需求。

## 正文

Techcrunch： Micron， the only U.S.-based manufacturer of high bandwidth memory chips， just became Wall Street's newest AI infrastructure bet because AI servers now need huge amounts of HBM， DRAM， and NAND beside every GPU.

Micron's case got stronger after Q3 revenue hit $41.46B， gross margin reached 84.6%， and Q4 guidance moved to $49 B-$51B. Current market cap ~$1.27 trillion.

Memory has usually been a boom-bust business because factories take years and billions to build， then prices collapse when too much supply arrives.

Micron is trying to break that cycle with 16 strategic customer agreements worth $22B， using deposits， pricing floors， and take-or-pay terms to make demand harder to cancel.

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📌 The current state of the global memory market.

This market has 2 main layers： DRAM， which includes the memory used next to CPUs and AI GPUs， and NAND flash， which is the storage inside SSDs， phones， and data centers.

In DRAM， the market is extremely concentrated， with Samsung at 38.5%， SK hynix at 28.8%， and Micron at 22.4% in 1Q26， meaning the top 3 control about 90% of global DRAM revenue.

In HBM， which is a premium submarket inside DRAM， the AI-specific memory used beside Nvidia GPUs， SK hynix is the market leader， with 58% share in 1Q26， while Samsung and Micron each had 21%.

HBM， or High Bandwidth Memory， is a special form of DRAM built for extreme data movement.

The difference is physical design.

Normal DRAM chips usually sit on memory modules or near the processor， and data moves through relatively narrower connections.

HBM stacks multiple DRAM dies vertically and places them very close to the GPU through advanced packaging， which creates a much wider data path.

That wider path gives AI chips much higher memory bandwidth， meaning the GPU can receive data faster instead of sitting idle.

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techcrunch .com/2026/06/28/why-wall-street-thinks-us-memory-maker-micron-is-the-next-nvidia/

### 引用推文

> Rohan Paul：FT: Micron just reported a 15-fold profit jump because AI servers are now short of high-bandwidth memory, the stacked memory that keeps GPUs fed with data. The ...