Meanwhile, US AI developers are hurrying to analyze DeepSeek's V3 model. DeepSeek in December published a research paper accompanying the model, the basis of its popular app, but many questions such as total development costs are not answered in the document.
This is AI generated summarization, which may have errors. For context, always refer to the full article.Meanwhile, US AI developers are hurrying to analyze DeepSeek's V3 model. DeepSeek in December published a research paper accompanying the model, the basis of its popular app, but many questions such as total development costs are not answered in the document.
OpenAI CEO Sam Altman wrote on X that R1, one of several models DeepSeek released in recent weeks, “is an impressive model, particularly around what they’re able to deliver for the price.” Nvidia said in a statement DeepSeek’s achievement proved the need for more of its chips. China has now leapfrogged from 18 months to six months behind state-of-the-art AI models developed in the US, one person said. Yet with DeepSeek’s free release strategy drumming up such excitement, the firm may soon find itself without enough chips to meet demand, this person predicted.
The paper stated that the training run for V3 was conducted using 2,048 of Nvidia’s H800 chips, which were designed to comply with US export controls released in 2022, rules that experts told Reuters would barely slow China’s AI progress.
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