美国本津加网站18日报道，伯里的这一动向源于社交平台X上一篇分析文章。该文质疑英伟达首席执行 官黄仁勋宣称的Blackwell芯片出货量是否与该公司营收数据以及美国数据中心容量相符。该文由X平台 自称是律师的用户Kakashii发布。 美国知名空头迈克尔·伯里征求美国英伟达公司图形处理器(GPU)被客户囤积的证据，尤其是照片。 美国消费者新闻与商业频道(CNBC)报道，黄仁勋今年10月说，对英伟达芯片的需求仍在激增，并称该 公司过去四个季度已出货600万片Blackwell芯片。当时他预计，Blackwell系列及明年Rubin系列产品将 带来总计5000亿美元销售额。 然而，据X平台用户Kakashii分析，自Blackwell推出以来，英伟达报告的1110亿美元数据中心收入似乎 无法支撑如此大的出货量。该帖文认为，可能存在数十万至数百万片GPU缺口。 该帖文还指出，运行Blackwell芯片需要巨大能源，如果600万片GPU已经出货，且其中65%到70%部署 在美国的数据中心，那么它们将需要8.5吉瓦到11吉瓦电力，大约相当于新加坡总发电量。但美国在 2024年至2025年间仅增加约8.5吉瓦可用于数据中 ...

Core Viewpoint - Michael Burry, a well-known short-seller, is seeking evidence of Nvidia's GPUs being hoarded by customers, particularly photographs, in light of doubts raised about the company's reported sales figures and data center capacity [1][3]. Group 1: Nvidia's GPU Sales and Demand - Nvidia's CEO Jensen Huang claimed that the demand for Nvidia chips remains strong, stating that the company has shipped 6 million Blackwell chips over the past four quarters, with expectations of generating $500 billion in total sales from the Blackwell and upcoming Rubin series products [1]. - An analysis on social media questions whether the reported $111 billion in data center revenue aligns with the claimed shipment volume of Blackwell chips, suggesting a potential shortfall of hundreds of thousands to millions of GPUs [1][2]. Group 2: Energy Requirements and Capacity Concerns - The operation of 6 million Blackwell chips would require between 8.5 GW to 11 GW of power, approximately equivalent to Singapore's total electricity generation capacity, while the U.S. is only expected to add about 8.5 GW of power capacity for data centers between 2024 and 2025 [2]. - This power supply is barely sufficient to match Nvidia's claimed GPU shipment volume, raising concerns about the feasibility of such high deployment levels [2][3]. Group 3: Burry's Scrutiny and Market Concerns - Burry has intensified his scrutiny of Nvidia, focusing on issues such as "circular investments" among U.S. AI companies, revenue recognition methods, and how tech giants depreciate computing equipment [3]. - He has also raised alarms about the sustainability of Nvidia's AI infrastructure spending and has warned about a potential stock market bubble in AI, referencing historical patterns of market downturns following similar wealth distribution scenarios [3].