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"title": "HBM4明年恐涨价121% AI伺服器需求推升供应紧张",
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"description": "TrendForce:AI伺服器需求扩张,HBM供应紧张恐延续至2027年 明年HBM混合平均售价估年增121%,HBM4占比提高、HBM4e放量推升价格 GPU/ASIC业者评估改采8-Hi HBM降成本;但2027年每Gb仍较12-Hi高10%至20%",
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"content": "<p>随着人工智慧(AI)伺服器需求持续扩张,高频宽记忆体(HBM)供应紧张情况预计延续至2027年,市场研究机构TrendForce最新预测显示,反映不同产品销售组合的HBM混合平均售价(Blended ASP)明年将较今年大增121%,意味整体平均价格可能超过今年的2倍。价格上涨主要受到高价HBM4占比提高、HBM4e逐步放量,以及HBM与一般型DRAM持续争夺有限先进制程与晶圆产能等因素推动。</p>\n<p style=\"text-align:center;\"><img src=\"https://cimg.cnyes.cool/prod/news/6618400/l/8a3d80b2d690c60589c85171f6bba568.jpg\" alt=\"HBM4明年恐涨价121% AI伺服器需求推升供应紧张\" style=\"width:50%;height:auto;border-radius:6px;margin:15px auto;display:block;\"></p>\n\n\n<p>TrendForce指出,AI伺服器需求仍在扩张,而HBM与一般型DRAM共用部分先进制程及晶圆产能,新世代HBM产品的良率与产量提升又需要时间,因此供应紧张预计持续至2027年。随着供应商在市场吃紧环境下提高议价能力,明年HBM价格展望也因此进一步上修。</p>\n\n<p>HBM是AI加速器的重要高效能记忆体,透过将多颗DRAM晶片垂直堆叠,再搭配基底晶片与AI加速器连接,以提供更高的记忆体频宽。目前市场正从第五代HBM3E逐步转向第六代HBM4,而HBM4的制程复杂度更高,需要更大的晶圆面积及更多制造资源,因此产品价格也高于前一代。</p>\n\n<p>TrendForce表示,HBM4占整体产品的比重持续提高,是推动明年平均售价大幅上升的重要因素。此外,HBM4e预计自2027年下半年开始逐步放量,产品组合中高价格产品的占比增加,也将进一步推高整体Blended ASP。</p>\n\n<p>供应端的另一项压力来自HBM与一般型DRAM对晶圆产能的竞争。为了提高HBM产量,记忆体制造商必须将部分原本可用于一般型DRAM的先进制程产能转向HBM生产,造成一般型DRAM可取得的产能受到挤压。</p>\n\n<p>TrendForce先前已预期,即使2027年HBM位元出货量较今年增加约50%至60%,仍可能无法完全满足市场需求。这意味着AI伺服器需求增加所带来的HBM需求,可能继续超过供应端新增产能的速度。</p>\n\n<p>这种供需失衡也开始影响AI晶片的设计。TrendForce指出,GPU及ASIC业者近期陆续讨论降低单颗AI加速器的HBM搭载容量,主要原因并不是终端AI运算需求减弱,而是HBM供应有限,以及HBM价格上涨推高整体AI系统建置成本。</p>\n\n<p>辉达 (NVDA-US)等GPU业者及ASIC开发商因此开始评估降低HBM堆叠高度的方案,其中8-Hi HBM受到更多关注。相较目前部分高阶AI加速器采用的12-Hi产品,8-Hi每个HBM堆叠所使用的DRAM裸晶数量较少,因此可以降低单一Stack的成本及AI GPU整体物料成本。</p>\n\n<p>此外,在相同HBM位元产出条件下,采用8-Hi产品可以让相同数量的HBM供应支援更多GPU出货,因此在HBM供应持续紧张的情况下,降低堆叠高度也成为AI晶片业者提高产品出货量的一种方式。</p>\n\n<p>TrendForce预期,8-Hi规格将成为2027年HBM市场的重要配置,更多GPU与ASIC业者将把它列为优先评估方案,借此在效能、供应量与系统成本之间取得平衡。</p>\n\n<p>不过,降低HBM堆叠高度并不代表每单位容量的价格也会降低。HBM除了包含多层DRAM裸晶之外,每个Stack还需要一颗负责控制及连接AI加速器的Base Die。即使DRAM堆叠层数从12层降至8层,Base Die的成本并不会按照DRAM层数同步下降。</p>\n\n<p>由于8-Hi产品的DRAM容量较低,Base Die成本必须由较少的记忆体容量分摊,因此换算至每Gb后,8-Hi反而可能比12-Hi更加昂贵。TrendForce预估,2027年8-Hi HBM的每Gb价格将比12-Hi产品高出约10%至20%。</p>\n\n<p>因此,AI晶片业者采用8-Hi的主要目的并非取得更便宜的单位容量,而是减少每颗AI加速器使用的DRAM裸晶数量,降低单颗晶片的HBM总容量及整体物料成本,同时在有限HBM供应下生产更多AI加速器。</p>\n\n<p>换言之,8-Hi可能降低AI系统的整体成本压力,却无法扭转HBM本身价格上涨的趋势。TrendForce认为,2027年HBM市场仍将处于供应紧张格局,8-Hi渗透率提高只能部分缓解GPU成本及供应压力,并不足以改变HBM整体价格大幅上涨的市场环境。</p>\n\n<p>从供应商角度来看,HBM4及后续产品的生产仍需要大量先进制程产能,而提高产量也涉及良率改善、晶圆投入及封装能力扩张。随着AI伺服器持续增加,记忆体厂商必须在HBM与一般型DRAM之间重新分配产能,这也可能使一般型DRAM市场同步面临供应压力。</p>\n\n<p>TrendForce表示,随着HBM供应量增加及成本上升逐渐影响客户采购决策,预期会有更多GPU与ASIC业者考虑采用8-Hi产品,实际渗透率也可能进一步提高。</p>\n\n<p>整体而言,2027年HBM市场将同时面临需求强劲、供应受限及产品升级三重因素。AI伺服器持续扩张推升HBM需求,HBM4及HBM4e占比增加又提高产品平均价格,而HBM与一般型DRAM争夺先进产能则限制供应扩张速度。</p>\n\n<p>在这种情况下,AI晶片制造商透过降低HBM堆叠高度来提高有限记忆体产能的使用效率,可能成为明年市场的重要趋势,但8-Hi每Gb价格仍较12-Hi高出约10%至20%,因此AI加速器业者在规格、效能、供应及成本之间的取舍将更加复杂。</p>\n\n<p>TrendForce的最新预测显示,HBM市场短期内仍难摆脱供不应求格局,2027年混合平均售价预估年增121%,而HBM4占比提高与HBM4e逐步放量,将使高阶产品在整体市场中的价格影响力持续增加。</p>\n<div class=\"related-articles seo-links\">\n <h4>相关阅读</h4>\n <ul>\n <li><a href=\"/new/AI/article-17095.html\" title=\"同日推低价版模型 OpenAI、Anthropic价格战开打\">同日推低价版模型 OpenAI、Anthropic价格战开打</a></li>\n <li><a href=\"/new/AI/article-9884.html\" title=\"显卡涨疯了!热门型号一天一价、RTX 5090单周暴涨人民币4000元\">显卡涨疯了!热门型号一天一价、RTX 5090单周暴涨人民币4000元</a></li>\n <li><a href=\"/new/AI/article-20298.html\" title=\"财报前夕先裁千人!Netflix成长放缓 2022年来最大裁员\">财报前夕先裁千人!Netflix成长放缓 2022年来最大裁员</a></li>\n <li><a href=\"/new/AI/article-9472.html\" title=\"三星晶圆代工产能利用率冲100% 最快Q3转亏为盈\">三星晶圆代工产能利用率冲100% 最快Q3转亏为盈</a></li>\n <li><a href=\"/new/AI/article-20184.html\" title=\"2026为「推理之年」!超微苏姿丰:CPU需求年增50% EPYC年卖1000亿美元\">2026为「推理之年」!超微苏姿丰:CPU需求年增50% EPYC年卖1000亿美元</a></li>\n <li><a href=\"/new/AI/article-13453.html\" title=\"OpenAI找到新金鸡母!ChatGPT广告一年可望进帐10亿美元\">OpenAI找到新金鸡母!ChatGPT广告一年可望进帐10亿美元</a></li>\n </ul>\n</div>",
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