The theoretical cost-profit margin of DeepSeek reaches as high as 545%, and major Cloud Computing companies may become the most benefited direction.

①DeepSeek has disclosed its theoretical cost and profit margin for the first time, with a total theoretical daily revenue of $562,027 and a cost profit margin of 545%. ②According to a Research Report from Minsheng Securities, DeepSeek demonstrates that through algorithm optimization, the AI Business can achieve extremely high profit margin levels, providing the best profitability multiplication "guide" for domestic Cloud Computing and domestic AI applications.

cls.cnMar 2 18:58 ET

As high as 545%! DeepSeek has released its cost-profit margin for the first time. What is the impact on computing power?

According to DeepSeek's calculations, the theoretical daily profit of the V3/R1 inference system can reach 3.46 million yuan. The founder of Silicon-based Flow, Yuan Jinhui, commented that the V3/R1 architecture is significantly different from other mainstream models. Brokerage opinions suggest that in the medium to short term, technology giants will continue to make ongoing and large-scale investments in the field of AI computing power, which will remain a highly certain event.

cls.cnMar 2 05:58 ET

The main Communications business is experiencing a downturn! ZTE's revenue and profit both declined last year, with Net income dropping 9.66% year-on-year | Earnings Reports insights.

ZTE faced pressure on revenue last year, with revenue of 121.299 billion yuan, a year-on-year decrease of 2.38%. Profitability also declined, with net income attributable to ordinary shareholders of the listed company at 8.425 billion yuan, a year-on-year decrease of 9.66%. The company stated that it will accelerate the transformation towards "connectivity + computing power" in an attempt to expand new market space.

wallstreetcnFeb 28 07:53 ET

China United Network Communications: Optimized and upgraded the DeepSeek series models, saving an average of 30% in inference computational load.

① China United Network Communications announced an "adaptive slow thinking" optimization upgrade for the DeepSeek series models, saving an average of approximately 30% in inference computation, and it has been open-sourced, making it a first in the industry; ② The specific modifications include difficulty-adaptive fine-tuning, secondary distillation, and difficulty-adaptive reinforcement learning to reduce redundant outputs and resource consumption.

cls.cnFeb 25 19:51 ET

After a year, the AI computing power market is once again booming, and the utilization rate of intelligent computing centers is expected to gradually increase.

① Currently, the vacancy rate of intelligent computing centers has also decreased. Respondents expect that with the rise of domestic technologies like DeepSeek and the expansion of application scenarios, the utilization rate of intelligent computing centers is expected to gradually increase. ② The Research Reports from Open Source Securities point out that the strategic advancement of major players in AI is likely to increase the demand for AI Cloud Computing power, which may drive these giants to gradually increase their capital investments in AI Cloud Computing.

cls.cnFeb 18 18:59 ET

The short-term differentiation of the DeepSeek Concept may continue, focusing on the rotation opportunities between high and low in AI.

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cls.cnFeb 17 20:21 ET