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2026年DRAM超级周期：AI推理如何改写存储芯片市场规则

Q: 首先要验证的关键点是什么？

全球DRAM市场已进入结构性超级周期，核心驱动力从AI训练转向大规模推理，对服务器内存的需求激增。 三星电子以38.5%的份额蝉联整体DRAM市场第一，但在最关键的HBM领域，SK海力士以约62%的份额占据绝对主导，是英伟达的首要合作伙伴。

全球DRAM市场已进入结构性超级周期，核心驱动力从AI训练转向大规模推理，对服务器内存的需求激增。三星电子以38.5%的份额蝉联整体DRAM市场第一，但在最关键的HBM领域，SK海力士以约62%的份额占据绝对主导，是英伟达的首要合作伙伴。

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An editorial visualization representing the 2026 DRAM supercycle, showing a glowing silicon wafer overlaid with AI server rack schematics and rising price graph indicators, reflect — What factors are driving the global DRAM memory supercycle in 2026, and how is the shift from AI training to inference affecting DRAM pricinThe 2026 DRAM supercycle is being driven by a structural shift from AI training to inference, redirecting the world's memory supply away from consumer devices and into data centers.
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Create a landscape editorial hero image for this Studio Global article: What factors are driving the global DRAM memory supercycle in 2026, and how is the shift from AI training to inference affecting DRAM pricin. Article summary: The DRAM industry has structurally pivoted from a cyclical commodity business to a supply-constrained, AI-first market. The shift from training to inference has multiplied the server count needing DRAM, while HBM's high . Topic tags: general, general web, user generated. Reference image context from search candidates: Reference image 1: visual subject "In this context, limitations in memory bandwidth and data transfer efficiency have become more pronounced, sharply increasing the strategic importance of HBM (High Bandwidth Memory" source context "Memory Wall Bottleneck: AI Compute Sparks Memory Supercycle" Reference image 2: visual subject "In this context, lim
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全球DRAM产业已进入一个与以往周期性繁荣截然不同的结构性超级周期。2026年第一季度,市场营收达到创纪录的970亿美元(约合人民币6.97万亿元),环比暴涨81% 。这背后的推手,是一场前所未有的碰撞:AI数据中心的疯狂扩张、市场从AI训练到推理的关键转折,以及供给侧面临的严重挤压。结果是,消费电子市场正被暴涨的内存价格挤压,合同甚至在发货途中被改写,而供应缓解的曙光至少要等到2027年底才会出现。

本轮周期的核心驱动力,已不再仅仅是大型AI训练集群的建设。随着AI应用走向成熟,市场重心正向"推理"倾斜,即将训练好的模型进行大规模部署。这一转变意味着需要数量多得多的服务器实例,而每台服务器除了专用的高带宽内存(HBM)外,还需要大容量的常规内存(DDR5)。云服务提供商们正在迅速扩大通用服务器的采购,从而拓宽了需求基础,给内存供应带来了巨大压力。

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