3 days ago · 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 .

2 days ago · Now DeepSeek’s cost estimate almost certainly only captures the marginal cost: It ignores their expenditures on building the data centers, buying the chips in the first place, and hiring a large technical team. But regardless, it’s clear that DeepSeek managed to train a highly capable model more efficiently than its U.S. competitors.

3 days ago · 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 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 ...

3 days ago · Scale AI CEO Alexandr Wang said during an interview with CNBC on Thursday, without providing evidence, that DeepSeek has 50,000 Nvidia H100 chips, which he claimed would not be disclosed because ...

3 days ago · The world’s top companies typically train their chatbots with supercomputers that use as many as 16,000 chips or more. DeepSeek’s engineers said they needed only about 2,000 Nvidia chips.

2 days ago · Dylan Patel of chip consultancy SemiAnalysis has estimated that DeepSeek and its sister company, the hedge fund High-Flyer, have access to tens of thousands of Nvidia GPUs, which were used to ...