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Recent reports indicate that
has placed an order for 300,000 H20 chipsets with , the Taiwanese semiconductor manufacturer. This decision reflects a strategic pivot for the company, influenced by robust demand from the Chinese market, leading Nvidia to move beyond its reliance on existing inventories.The shift in strategy follows the lifting of previous U.S. government restrictions on sales of H20 GPUs to China. This reversal allowed Nvidia to re-engage with the Chinese market, which had previously seen a halt in orders and manufacturing plans for these chipsets. Initial reports had suggested that Nvidia would not restart H20 production, having redirected TSMC's manufacturing capacity for H20 towards other clients. Such a re-initiation of production could take as long as nine months.
Industry observers note that Nvidia's current inventory for H20 chips stands between 600,000 and 700,000 units. The new order from TSMC supplements this stockpile, suggesting that the company is preparing to meet significant demand in China, where projections indicate a sale of approximately a million H20 chips in 2024 alone. This demand appears to be driven by Chinese tech giants leveraging the GPUs for deploying AI models.
Nvidia CEO Jensen Huang has acknowledged that the potential scale of H20 orders will dictate the consideration of a production reboot. However, Nvidia has also reportedly communicated to its customers that immediate plans do not yet include restarting full-scale wafer production. This decision underscores the complexity of supply chain management in the face of geopolitical shifts and market pressures.
The lively demand for H20 chips in China underscores a larger narrative of global semiconductor supply and demand dynamics. Nvidia's strategic engagements highlight the intricate balance between regulatory compliance, regional market needs, and production capabilities. As industry stakeholders watch these developments, Nvidia remains at a critical junction, adapting its operations to both serve immediate market demands while navigating potential future constraints.
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