{"id":295110,"date":"2025-02-10T08:35:17","date_gmt":"2025-02-10T16:35:17","guid":{"rendered":"https:\/\/sftarticles.wpenginepowered.com\/es\/?p=347923"},"modified":"2025-07-01T15:25:55","modified_gmt":"2025-07-01T22:25:55","slug":"tsmc-and-nvidia-team-up-in-response-to-the-challenge-from-deepseek","status":"publish","type":"post","link":"https:\/\/cms-articles.softonic.io\/en\/tsmc-and-nvidia-team-up-in-response-to-the-challenge-from-deepseek\/","title":{"rendered":"TSMC and Nvidia team up in response to the challenge from DeepSeek"},"content":{"rendered":"\n

As you well know, DeepSeek is an innovative free and open-source Chinese AI model<\/a>, which has challenged existing notions about hardware requirements in artificial intelligence (AI) training.<\/p>\n\n

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Their approach has caused a notable drop in the market value of several U.S. tech companies, traditionally dominated by NVIDIA’s advanced hardware.<\/p>\n\n\n

Despite DeepSeek claiming to use only 2,048 NVIDIA H800 chips, analysts have questioned this figure<\/strong>, suggesting that the actual number of GPUs involved could be around 50,000, creating uncertainty about the model’s costs.<\/p>\n\n\n

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TSMC shares tumbled by up to 6.6%, playing catch up to a global selloff in AI-linked stocks due to DeepSeek https:\/\/t.co\/eBps6ktcZv<\/a><\/p>— Bloomberg (@business) February 3, 2025<\/a><\/blockquote>