跳到主要內容

AI記憶體缺貨解析:DRAM漲價130%,電腦手機都變貴 | AI Memory Shortage: DRAM Prices Surge, PCs Cost More

By Kit 小克 | AI Tool Observer | 2026-07-27

🇹🇼 AI記憶體缺貨解析:DRAM漲價130%,電腦手機都變貴

如果你最近想買新電腦或手機卻發現價格悄悄漲了,兇手很可能是AI記憶體缺貨。台灣研調機構集邦科技(TrendForce)最新報告指出,2026年第三季伺服器DRAM合約價格將再季增13%到18%,原因是AI伺服器持續吃掉全球記憶體產能。這波漲價已經從資料中心蔓延到一般消費性電子產品,PC與手機都難逃波及。

為什麼AI會讓記憶體缺貨?

因為AI伺服器需要大量高頻寬記憶體(HBM)搭配GPU運作,記憶體廠商把產能優先分給利潤更高的AI訂單,排擠了傳統DRAM與DDR5的供給。2026年HBM已經吃掉全球DRAM晶圓產能的23%,相較2024年的8%大幅成長,資料中心目前消耗全球約70%的記憶體晶片。

DRAM漲價漲到什麼程度?

過去一年DRAM現貨價格暴漲近700%,研調機構Gartner預估到2026年底記憶體價格將較年初再攀升約130%,直接推升PC售價上漲17%、智慧型手機漲13%。美光(Micron)執行長更直言,目前DRAM與HBM的供需缺口是公司史上最大。

記憶體缺貨會持續到什麼時候?

三星與SK海力士都警告,AI帶動的記憶體缺貨恐怕會延續到2027年甚至更久,SK海力士執行長預期2027年將是產業史上供給最吃緊的一年。伺服器代工廠英業達(Inventec)也證實,伺服器用記憶體交期已經拉長到40週以上,顯示缺貨不只是市場傳言,而是實際卡在生產線上的問題。

一般消費者該注意什麼?

如果你近期有升級電腦、換手機或組裝伺服器的計畫,建議提早規劃預算,因為DRAM漲價潮短期內看不到明確終點。企業採購端更要留意,記憶體成本可能會反映在雲端服務與硬體報價上。

常見問題 FAQ

  • Q:AI記憶體缺貨還會持續多久?
    A:三星與SK海力士都預期缺貨會延續到2027年甚至更久,產業界普遍看法是短期內不會結束。
  • Q:DRAM漲價會影響哪些產品?
    A:從伺服器、PC、筆電到智慧型手機都會受影響,因為都仰賴同一批記憶體供應鏈。
  • Q:為什麼AI伺服器要用HBM而不是一般DRAM?
    A:HBM頻寬更高,能讓GPU更快存取資料,是訓練與推論大型AI模型的關鍵零組件。
  • Q:現在該買電腦還是再等等?
    A:如果近期有明確需求,建議提早採購,因為記憶體價格短期內看不到下跌訊號。

好不好用,試了才知道。


🇺🇸 AI Memory Shortage: DRAM Prices Surge, PCs Cost More

If PCs, laptops, or phones have quietly gotten more expensive lately, blame the AI memory shortage. TrendForce's latest report shows server DRAM contract prices are set to rise another 13-18% quarter-over-quarter in Q3 2026, as AI servers keep eating into global memory supply. The squeeze has spread from data centers into everyday consumer electronics.

Why Is AI Causing a DRAM Shortage?

AI servers need massive amounts of High Bandwidth Memory (HBM) paired with GPUs, so memory makers are prioritizing higher-margin AI orders over conventional DRAM and DDR5. HBM now consumes 23% of global DRAM wafer capacity in 2026, up from just 8% in 2024, while data centers account for roughly 70% of all memory chips produced worldwide.

How Bad Are DRAM Prices Right Now?

DRAM spot prices have surged nearly 700% over the past year. Gartner expects memory prices to climb another 130% by the end of 2026, pushing PC prices up 17% and smartphone prices up 13% versus last year. Micron's CEO called the current gap between DRAM and HBM supply and demand the widest the company has ever seen.

How Long Will the Memory Shortage Last?

Samsung and SK hynix both warn the AI-driven memory shortage could stretch into 2027 and beyond, with SK hynix's CEO predicting 2027 will be the tightest supply year in industry history. Server ODM Inventec confirms lead times for server memory have already stretched past 40 weeks — a sign this isn't just market chatter but a real production bottleneck.

What Should Buyers Do?

If you're planning to upgrade a PC, buy a new phone, or build out server infrastructure, budget for higher prices now — the DRAM price surge shows no clear end date. Businesses should also expect memory costs to filter into cloud pricing and hardware quotes over the coming quarters.

FAQ

  • Q: How long will the AI memory shortage last?
    A: Samsung and SK hynix both expect it to stretch into 2027 or beyond, with no clear end in sight.
  • Q: What products does the DRAM price surge affect?
    A: Everything from servers and PCs to laptops and smartphones, since they all draw on the same memory supply chain.
  • Q: Why do AI servers need HBM instead of regular DRAM?
    A: HBM offers much higher bandwidth, letting GPUs access data faster — a key component for training and running large AI models.
  • Q: Should I buy a new computer now or wait?
    A: If you have a real need soon, buy sooner rather than later — there's no sign of prices dropping in the near term.

Works or not — you won't know until you try it.

Sources / 資料來源

常見問題 FAQ

AI記憶體缺貨還會持續多久?

三星與SK海力士都預期缺貨會延續到2027年甚至更久,產業界普遍看法是短期內不會結束。

DRAM漲價會影響哪些產品?

從伺服器、PC、筆電到智慧型手機都會受影響,因為都仰賴同一批記憶體供應鏈。

為什麼AI伺服器要用HBM而不是一般DRAM?

HBM頻寬更高,能讓GPU更快存取資料,是訓練與推論大型AI模型的關鍵零組件。

現在該買電腦還是再等等?

如果近期有明確需求,建議提早採購,因為記憶體價格短期內看不到下跌訊號。

延伸閱讀 / Related Articles


AI 工具觀察站 — 每日精選 AI Agent 與工具趨勢
AI Tool Observer — Daily curated AI Agent & tool trends

留言

這個網誌中的熱門文章

Cursor vs GitHub Copilot vs Claude Code:AI 程式助手大比拼 | AI Coding Assistants Compared: Cursor vs GitHub Copilot vs Claude Code

Google Ironwood TPU v7 推理專用晶片解析:效能追平 NVIDIA、成本低 44%,AI 晶片戰爭正式開打 | Google Ironwood TPU v7 Explained: Matching NVIDIA Performance at 44% Lower Cost — The AI Chip War Heats Up

Claude Code 實測:AI 幫你寫程式到底行不行? | Claude Code Review: Can AI Really Code for You?