In a peer-reviewed Nature article update, DeepSeek says it spent $294,000 on training its reasoning-focused R1 model and used 512 Nvidia (NVDA) H800 chips for 80 hours, Reuters’ Eduardo Baptista reports. DeepSeek is a Chinese-built large-language open-source model that claims to rival offerings from Microsoft (MSFT)-backed OpenAI’s ChatGPT and Meta Platforms (META) but using a much smaller budget.
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