Jan 27, 2025 · The Chinese AI company DeepSeek has put the AI industry in an uproar. Denied the most powerful chips thought needed to create state-of-the-art AI models, DeepSeek pulled off some engineering ...

Jan 27, 2025 · On Monday, DeepSeek's rollout roiled shares of AI stalwarts such as Nvidia, the high-flying manufacturer of advanced chips engineered for AI development, and Dutch company ASML, another chipmaker.

3 days ago · The U.S. government is investigating whether the Chinese artificial intelligence (AI) company DeepSeek has been using U.S. chips that are barred from being shipped to China, including from third ...

Jan 28, 2025 · Sam Winter-Levy: Just to give you a sense of DeepSeek’s efficiency, the company claims it trained its model for less than $6 million, using only about 2,000 chips. That’s an order of magnitude less money than what Meta, for example, spent on training its latest system, which used more than 16,000 chips. Now DeepSeek’s cost estimate almost certainly only captures the marginal cost: It ...

6 days ago · Reportedly, DeepSeek trained its V3 model on Nvidia’s tailor-made H800 chips for China, which the U.S. banned in October 2023. This prompted Nvidia to design the H20 chips.

5 days ago · DeepSeek’s success has come despite U.S. export controls on cutting-edge chips to China. Nvidia said in a statement to Investopedia that it "insists" customers comply with laws.

Jan 27, 2025 · Deepseek says it only needed 2,000 specialized chips from Nvidia to train its V3. This is in comparison to a reported 16,000 or more required to train leading models, according to The New York Times .

DeepSeek's apparently lower costs roiled financial markets on 27 January, leading the tech-heavy Nasdaq to fall more than 3% in a broad sell-off that included chip makers and data centres around ...

Jan 27, 2025 · By 2021, DeepSeek had acquired thousands of computer chips from the U.S. chipmaker Nvidia, which are a fundamental part of any effort to create powerful A.I. systems.

Jan 23, 2025 · The company built a cheaper, competitive chatbot with fewer high-end computer chips than U.S. behemoths like Google and OpenAI, showing the limits of chip export control.