[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fa9qIcDE9lOZtLhxJNYnhhgsfhhGngFhuHNpVd2txnSI":3,"$ftj59r1gjLoEyNw2AuKVdH0zJuD4wfIxEl0X0_jyB7SU":53},{"detail":4,"recommendList":12},{"id":5,"title":6,"content":7,"publishTime":8,"important":9,"sourceName":10,"language":11},179133,"Citrini观点：AI服务器需求驱动MLCC交期极端分化，高端产品交付长达10个月","BlockBeats 消息，8 月 18 日，Citrini 分析师 Jukan 指出，MLCC 交付周期正因产品规格不同出现严重分化。通用产品的交期仍稳定在 14 至 18 周（约 3.5 至 4.5 个月），高容值与高压产品约 4 至 5 个月，但 AI 服务器用高端产品已进入「严重供应」状态。村田与三星电机的服务器级 MLCC 交期超过 20 周（5 个月以上），三星电机部分高容产品平均约 40 周，村田 1 微法以上高容产品 7 月交期从 6 月的 24 周升至 30 周，部分渠道报价甚至达 36 周，接近 10 个月。\n这种极端分化预计将持续到 2026 年下半年。驱动分化的核心是 AI 服务器与数据中心的强劲需求——AI 服务器所需的高容值、小型化、高可靠 MLCC 数量是传统服务器的 5 至 13 倍。新产能扩张已从 2026 年 Q4 推迟至 2027 年，短期内供需失衡难以缓解，主要厂商同步提价并增加长期供应协议。交付周期超过 5 个月甚至接近一年，既表明制造商短期内无法快速增加供应，也标志着定价权增强和高价值产品组合驱动盈利能力实质性改善的开始。AI 瓶颈正从 GPU 和内存向板上最小元件扩散。",1787050860000,false,"Blockbeats",0,[13,22,28,34,41,47],{"id":14,"title":15,"content":16,"publishTime":17,"important":18,"sourceName":19,"language":20,"dateString":21},170017,"Citrini观点：AI需求驱动韩日MLCC出货创五年新高，产能向AI转移致消费级库存告急","火星财经消息，7 月 28 日，Citrini 分析师 Jukan 引用 TrendForce 最新行业调查指出，韩日三大头部 MLCC 厂商 6 月出货量创五年单月新高，村田达 1400 亿颗、三星电机 980 亿颗、太阳诱电 400 亿颗，增长主要受 AI 强劲需求拉动，势头已延续至 7 月。云服务商自研 ASIC（如 Google TPU、AWS Trainium）的采购动能持续旺盛，拉动高容值、低电压、小尺寸 MLCC 需求。然而 AI 级产能正在抽走消费应用的供应：韩日厂商正快速将消费级 X5R 产能转向 AI 用的更高规格 X6S\u002FX7R 产品，导致中高容值消费级 MLCC（1µF 至 22µF）产能承压，关键产品库存普遍降至 30 天或以下。 Jukan 指出，供应紧张引发连锁反应，分销商紧急订单激增，订单外溢效应惠及台系与中国大陆供应商，渠道价格大幅攀升：提前囤货的分销商平均提价 20% 至 25%，现货市场价格涨至原先的 2 至 3 倍。市场呈现「终端需求疲软但渠道价格坚挺」的结构性分化：一方面消费电子受美伊地缘紧张重燃通胀担忧、苹果近期上调 MacBook 和 iPad 价格等因素拖累持续低迷；另一方面 AI 瓶颈正从 GPU 和内存扩散至板上最小元器件，产能重新分配和渠道稀缺成为当前价格强势的主要驱动力。",1785229020000,true,"MarsBit",null,"Tue Jul 28 2026 08:57:00 GMT+0000 (Coordinated Universal Time)",{"id":23,"title":24,"content":25,"publishTime":26,"important":18,"sourceName":10,"language":20,"dateString":27},195433,"Serenity：对传统以及成熟制程存储器极为看涨，涨价幅度将远超GPU租赁与MLCC","BlockBeats 消息，9 月 17 日，Serenity 发文表示，对传统以及成熟制程存储器极为看涨，其涨价幅度远超当日 Nebius 公布的 GPU 租赁涨价（+17%-21%）以及太阳诱电、村田等 MLCC 电容涨价。Serenity 预估半年或三季度预计涨幅：SLC NAND 下半年较上半年再涨 120%-170%，高容量 NOR Flash 再涨 90%-110%，DDR3\u002FDDR4 约涨 50%，DDR2 三季度涨 35%-40%，LPDDR 三季度涨 20% 或更多，DDR1、更老的 LPDDR 及 PSRAM 也在上涨。这些涨幅是叠加上半年已经发生的涨价之后的进一步上行。\nSerenity 强调，SLC NAND 上半年已涨 130%-150%，因此 2026 全年累计涨幅可能达到 406%-575%。这种售价暴涨对毛利和净利的拉动将超过上游晶圆成本上涨的影响，例如力积电 DRAM 晶圆涨约 45%，因此预计多家做传统存储器的无晶圆厂公司三季度财报会非常好看。",1789646400000,"Thu Sep 17 2026 12:00:00 GMT+0000 (Coordinated Universal Time)",{"id":29,"title":30,"content":31,"publishTime":32,"important":9,"sourceName":19,"language":20,"dateString":33},177655,"Citrini观点：英伟达5000亿美元融资担保有望支撑GPU销售，不属于循环融资","火星财经消息，8 月 16 日，Citrini 分析师 Jukan 发文表示，英伟达与华尔街规模达 5000 亿美元的融资担保安排，有助于避免超大规模云服务商在现金流趋紧、无法再完全以预付款方式购买 GPU 时，对 GPU 销售造成冲击。 他认为，这一安排还将加速 GPU 市场总可寻址市场（TAM）的扩张，并不属于「循环融资」。一个值得关注的变化是，华尔街正越来越多地将 GPU 视为可以回收价值的抵押品。",1786843440000,"Sun Aug 16 2026 01:24:00 GMT+0000 (Coordinated Universal Time)",{"id":35,"title":36,"content":37,"publishTime":38,"important":9,"sourceName":39,"language":20,"dateString":40},177764,"Citrini分析师Jukan回应争议：承认过往不当行为并道歉，称将通过长期行动重建信任","Odaily星球日报讯 Citrini 分析师 Jukan 近日针对其过去网络活动引发的争议发布公开声明，承认部分被曝光的旧帖确由本人发布，并就过去的不当言论、未经授权传播他人信息以及信息来源标注不足等问题致歉。\nJukan 表示，近期 X 等社交平台流传了关于其过往网络行为的帖子和指控，承认其中部分内容确实是自己过去发布的，并表示不会回避应承担的责任，但希望区分已确认的事实与外界进一步推测的内容。自己年轻时长期活跃于多个网络社区，当时过度追求关注和互动，曾故意发布具有争议性的内容以吸引他人反应。回顾过去，Jukan 认为这些行为“不成熟且错误”，部分政治或社会观点并不完全代表其当前价值观，而是为了制造讨论和关注。\nJukan 表示，自 2024 年底开始关注半导体行业，最初主要整理和分享公开新闻及资料。随着账号增长，希望提供更多未被讨论的信息，但过程中再次出现来源标注不足、未经充分验证的信息与个人判断混合发布等问题。对于信息传播者而言，区分“已验证信息”“他人提供信息”和“个人推测”非常重要，而自己过去过度关注账号增长和内容输出，没有始终坚持应有的信息核实和引用标准。\n不过，Jukan 强调，过去存在的信息来源问题并不意味着其所有内容均为虚假或抄袭，部分内容来自公开新闻、公司文件和研究报告，随着时间推移，也开始通过行业人士和市场参与者获取一手信息，并结合自身分析。\nJukan 表示，自己理解信任建立需要长期积累，但失去信任可能只需很短时间。他承诺未来将更加重视信息验证、标注原始来源，并明确区分事实、他人观点以及个人判断。",1786887000000,"ODAILY","Sun Aug 16 2026 13:30:00 GMT+0000 (Coordinated Universal Time)",{"id":42,"title":43,"content":44,"publishTime":45,"important":9,"sourceName":10,"language":20,"dateString":46},168562,"Citrini观点：看多AMD看空NVDA，编码AI从软件侧侵蚀英伟达壁垒，CUDA护城河正在终结","BlockBeats 消息，7 月 24 日，Citrini 分析师 Jukan 引用 DeepSeek 创始人梁文锋近期核心观点指出，AI 驱动的代码生成与 TileLang 等高级编程语言正迅速降低 CUDA 生态的进入壁垒。DeepSeek 虽使用英伟达 GPU 训练 V3 模型，但已通过自研编译器和 TileLang 环境大幅降低对英伟达软件生态的依赖。此前梁文锋预计，若将 TileLang 与 DeepSeek 编译器移植至华为芯片，中国芯片的生态问题大约一年内即可基本解决，真正的瓶颈只剩产能。梁文锋量化了中美芯片差距——硬件效率约 4 倍、时间滞后约两年——并透露 DeepSeek 正与华为紧密合作，预计将获得约 1.6 万颗华为 AI 芯片，华为 950 SuperNode 可替代 GB200\u002FGB300 的工作负载。分析师 Jukan 将此定性为「CUDA 的护城河正在终结」，对英伟达极为看空。\nJukan 补充称，这一逻辑恰恰是看多 AMD 的原因之一——编码 AI 的进步同样将自然加速 ROCm 生态的发展，帮助缩小其与 CUDA 的差距。AMD 近期投资 Anthropic 时已宣布将积极使用 Claude Code 进行芯片设计与软件工程。综合来看 AI 编程工具的进步正在从软件侧系统性侵蚀英伟达的竞争壁垒，中国芯片生态问题将因代码生成能力快速解决，AMD 则因 ROCm 加速受益，英伟达赖以维系开发者黏性的 CUDA 护城河正面临双重夹击，而硬件效率和产能的追赶只是时间问题。",1784825760000,"Thu Jul 23 2026 16:56:00 GMT+0000 (Coordinated Universal Time)",{"id":48,"title":49,"content":50,"publishTime":51,"important":9,"sourceName":10,"language":20,"dateString":52},168445,"Citrini观点：英伟达短期将受益于中国开源AI繁荣，结构性风险在于长期算力独立","BlockBeats 消息，7 月 23 日，Citrini 分析师 Jukan 发文反驳「中国开源模型对英伟达无关紧要」的观点，指出中国开源 AI 的繁荣实质上正在强化英伟达的主导地位。中国目前仍使用英伟达 GPU 训练模型并发布针对英伟达硬件优化的版本，因此 DeepSeek V4、Kimi K3 等模型在推理时英伟达 GPU 仍然是最具优势的平台——没人会用 TPU 或 Trainium 跑这些模型的推理。\n这从两个维度保护了英伟达的护城河：一是在推理市场持续占据最优平台地位；二是间接抑制超大规模云商推动自研 ASIC 替代英伟达 GPU 的动力。同时依赖英伟达 GPU 做推理业务的 Neocloud 提供商也从中受益，中国开源模型的繁荣为它们提供了持续的算力需求来源。\nJukan 指出，真正的结构性风险在于长期，如果中国实现真正的算力独立不再依赖英伟达，后果将远不止失去中国市场本身。英伟达的主导地位将显著削弱，TPU 和 Trainium 等替代方案的相对竞争力将增强，对英伟达视为重要战略资产的 Neocloud 生态也将构成打击。",1784808180000,"Thu Jul 23 2026 12:03:00 GMT+0000 (Coordinated Universal 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