DeepSeek reveals theoretical margin on its AI models is 545%
DeepSeek revealed some financial numbers on Saturday, saying its “theoretical” profit margin could be more than five times costs, peeling back a layer of the secrecy that shrouds business models in the AI industry.
The 20-month-old startup that rattled Silicon Valley with its innovative and inexpensive approach to building AI models, said on X its V3 and R1 models’ cost of inferencing to sales during a 24-hour-period on the last day of February put profit margins at 545%.
Inferencing refers to the computing power, electricity, data storage and other resources needed to make AI models work in real time.
However, DeepSeek added a disclaimer in details it provided on GitHub, saying its actual revenues are substantially lower for various reasons, including the fact that only a small set of its services are monetised and it offers discounts during off-peak hours. Nor do the costs factor in all the R&D and training expenses for building its models.
While the eye-popping profit margins are therefore hypothetical, the reveal comes at a time when profitability of AI startups and their models is a hot topic among technology investors.
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