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In a recent announcement, NVIDIA CEO Jensen Huang said that the California-based tech giant is focusing on crafting a new line of AI chips compliant with U.S. export regulations targeted at China’s market.
This decision comes against Nvidia’s commanding presence, clinching over 90% of China’s $7 billion AI chip market. However, with tightening U.S. curbs on exports of their chips like the A800, analysts predict a potential landscape shift, potentially opening doors for Chinese competitors to make significant headway.
While reports had surfaced indicating Nvidia’s delay in releasing a new AI chip tailored for the Chinese market, now slated for the first quarter of the upcoming year, Huang refrained from confirming these specifics during a press conference in Singapore. Nevertheless, he underscored the company’s concerted efforts to tailor products in accordance with U.S. regulations.
Huang stated, “Nvidia has been working very closely with the US government to create products that comply with its regulations. Our plan now is to continue working with the government to develop a new set of products that comply with the new regulations with certain limits.”
The tech giant anticipates a significant drop in fourth-quarter sales in China due to these new U.S. rules, making it challenging to predict the exact impact on its revenues, which traditionally saw China contributing around 20%.
In a parallel development, Huang unveiled discussions with Singapore for potential substantial investments, signalling Nvidia’s interest in bolstering its regional presence. The talks encompass collaborations in multiple domains, including aiding Singapore’s initiative to develop Southeast Asia’s first large language model, Sealion.
Singapore’s Infocomm Media Development Authority (IMDA) recently announced a S$70 million initiative for this language model, aligning with Nvidia’s interest in Singapore’s vibrant AI ecosystem and key data centre hub for diverse Asian markets. As Nvidia navigates regulatory shifts and global expansion, its strategic moves remain keenly watched in the competitive landscape of AI chip development and global tech influence.
