人工智能热潮正在引发全球内存芯片短缺。
The AI Boom Is Creating A Global Memory Chip Shortage

原始链接: https://www.zerohedge.com/markets/ai-boom-creating-global-memory-chip-shortage

全球内存芯片短缺正在加剧,原因是人工智能(AI)领域快速扩张导致需求激增。科技巨头正以高价锁定长期芯片供应,激励制造商优先考虑AI客户。这正在减少用于日常电子产品(如笔记本电脑、智能手机和汽车)的芯片供应,并推高成本。 AI系统,特别是那些利用高带宽内存(HBM)进行更快数据处理的系统,比传统计算需要更多的内存。随着数据中心为支持AI而扩张,其DRAM使用量已飙升。 增加产量并非快速解决方案;建造新的芯片制造厂成本高昂且耗时,特别是对于像HBM这样复杂的芯片。制造商们不愿过度投资,他们还记得过去的市场波动。目前,AI基础设施建设者被优先考虑,导致消费电子公司面临更高的成本和潜在的供应限制,直到产量能够满足整体需求。

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原文

A global shortage of memory chips is emerging as demand for artificial intelligence infrastructure surges, according to a new report from Bloomberg.

Large technology companies are locking in supply by signing long-term agreements and paying higher prices to guarantee access to chips years in advance. Because these deals are more profitable, chip manufacturers are increasingly directing production toward AI customers. This shift has reduced the number of chips available for other products such as laptops, smartphones, gaming consoles, and cars, pushing prices sharply upward.

Memory chips play a critical role in modern computing because they store and deliver data to processors, which carry out calculations. Without sufficient memory, devices would struggle to run applications, load programs, or process data efficiently. Two types dominate the industry. DRAM functions as short-term working memory that computers and servers use to quickly access active data. NAND flash memory serves as long-term storage, holding files, photos, and software even when devices are powered off.

Bloomberg writes that Artificial intelligence systems require enormous amounts of memory, especially a newer design known as high-bandwidth memory (HBM). This technology stacks multiple layers of memory vertically and places them close to processors, allowing data to move much faster than with traditional designs. The speed is essential for AI models that must constantly move and process huge volumes of information.

The rapid expansion of AI data centers has dramatically increased demand for memory chips. Major technology firms are investing hundreds of billions of dollars to expand computing capacity, and AI servers require far more memory than traditional systems. As a result, data centers now account for a much larger share of global DRAM usage than they did just a few years ago, and that share is expected to keep growing.

With supply unable to keep pace, memory prices have climbed steeply. In some cases, DRAM spot prices have risen several hundred percent within a year, while NAND storage costs are also increasing. The impact is spreading across the electronics industry. Companies that build computers, phones, and gaming systems are facing higher manufacturing costs and tighter component supply. Some manufacturers have already raised prices or reduced the amount of memory included in certain devices to manage expenses.

Expanding production is not a quick solution. The memory chip industry is highly concentrated, with most output coming from companies such as Samsung Electronics, SK Hynix, and Micron Technology. Building new fabrication plants requires enormous investment and several years before meaningful output begins. Producing advanced chips like HBM is even more challenging because they involve stacking extremely thin layers of silicon with microscopic connections; even a small defect can ruin an entire unit.

Manufacturers are expanding cautiously because the memory business has historically been volatile, swinging between shortages and oversupply. Companies want to benefit from the AI boom without repeating past cycles that led to large financial losses when demand suddenly weakened. For the moment, firms building AI infrastructure are securing the components they need, while consumer electronics makers may have to cope with higher costs and limited supply until production eventually catches up with demand.

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