H200获批出口中国，英伟达GPU：迎来新争议

Core Viewpoint - The U.S. government plans to allow Nvidia to export its H200 chips to China, marking a significant shift in the company's efforts to maintain market access in the world's second-largest economy [2][3]. Group 1: Export Approval and Market Impact - The U.S. Department of Commerce is expected to approve the export of Nvidia's H200 chips, which outperform the previously approved H20 but are less powerful than Nvidia's top-tier Blackwell and upcoming Rubin series chips [2]. - This decision follows a meeting between President Trump and Nvidia CEO Jensen Huang, where they discussed the H200 export issue [2]. - Officials, including AI Director David Sacks and Commerce Secretary Howard Lutnick, support the H200 export as a compromise that allows Nvidia to compete in China without enabling China to surpass the U.S. in AI [2]. Group 2: Performance and Sales Potential - The H200 chip's performance is estimated to be nearly six times that of the H20, which could lead to billions in sales for Nvidia and assist Chinese tech giants struggling to access top-tier chips for model training [3][4]. - Huang emphasized the importance of allowing Nvidia to compete in the Chinese market due to the country's significant AI demand and talent pool [4]. Group 3: GPU Shipment Controversy - A blogger named Kakashii has raised doubts about Nvidia's reported shipment of 6 million Blackwell GPUs, suggesting discrepancies between reported revenue and shipment numbers [6][8]. - Kakashii's analysis indicates that the reported $111 billion in data center revenue does not align with the claimed shipment figures, leading to questions about the actual number of GPUs sold [8][9]. Group 4: Accounting and Depreciation Concerns - Michael Burry has expressed concerns regarding the accounting practices related to AI hardware depreciation, arguing that companies may be overstating profits by extending the useful life of expensive GPUs [14][15]. - Burry suggests that the rapid pace of AI hardware development makes longer depreciation periods unrealistic, potentially masking the true economic performance of companies investing in AI [16][17]. - The ongoing debate about depreciation methods in the tech industry highlights the need for accurate accounting practices, especially as companies invest heavily in AI infrastructure [18][22].