How is Deepseek making money?

Deepseek is in the headlines to shake the ai ​​industry, challenging the established giants such as Openai, Claude and goal with their avant -garde models, everything while offering them for free. The company made the waves for the first time with the launch of Deepseek V3, followed by its advanced reasoning model – Depseek R1 and now its vision model – Janus Pro 7B. These launches not only have rival models such as GPT 4, O1, Sonnet 3.5, but have also raised their eyebrows due to their incredibly low training costs, only $ 5 million, a fraction of what competitors spend. This has caused generalized speculations: how is Deepseek spending money while giving your models for free? Here is a closer look at the key points behind your disruptive strategy.

1. Deepseek's Core Business: A quantum company

Depseek is mainly a Quantitative CompanySpecialized in the construction of trade algorithms to generate profits. His experience in mathematics and optimization probably played an important role in the development of the Deepseek R1 model. According to reports, the company has a significant number of GPUs, originally used for commercial and miners purposes. Deepseek R1 seems to be a parallel project That takes advantage of these GPUs efficiently, which allows them to train and execute the model to a cost fraction compared to competitors.

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<h2 class="wp-block-heading" id="h-2-nbsp-open-source-strategy-disrupting-the-ai-industry”>2. Open source strategy: interrupt the ai ​​industry

By launching Deepseek R1 as open source and open weightDeepseek has interrupted the ai ​​industry. This movement challenges the main actors such as Openai, Meta and Microsoft, who have invested billions in patented models and infrastructure of ai. The open source nature of Deepseek R1 allows anyone to reproduce and use the model, which has led to speculate that Deepseek's main objective is not direct monetization, but rather Industry interruption and influence.

Also read: How deep trained ai 30 times cheaper?

3. Monetization through API and efficiency

• While the model itself is free, Depseek offers a Final point of the API To execute the model, which is reported extremely cheap. This low -cost API could attract a large user base, generating income through volume.
• Deepseek's efficiency both in training and inference (executing the model) suggests that they have developed innovative techniques to reduce costs. This efficiency could allow them to monetize the scale model without collecting high prices.

4. Speculation on hidden resources

• Some experts in the industry, such as Alexander Wang (CEO of Scale ai), speculate that Deepseek can have access to more GPUs than they admit publicly. This could be due to export restrictions On the avant -garde chips of the United States to China, forcing Depseek to optimize their existing resources.
• If Deepseek has a lot of GPU, they could be using them to execute the scale model while keeping low costs, which allows even more their ability to offer access to the cheap API.

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5. Strategic implications: A attention call for the United States

Deepseek's success has generated concerns about the Competitiveness of American technology companies. The company's capacity to produce an avant -garde model at such a low cost has led questions about the need for mass investments made by US companies. Some analysts see the Depseek movement as a form of Economic waraimed at undermining the profitability of the US companies. UU. Establishing a low -price reference point.

<a target="_blank" href="https://indianexpress.com/article/technology/artificial-intelligence/deepseek-is-this-chinas-chatgpt-moment-and-a-wake-up-call-for-the-us-9799686/” target=”_blank” rel=”noreferrer noopener nofollow”>To know more, read this article!

6. Open source power

The launch of Deepseek of R1 looks like a Win for the open source community. By doing their open source model, they have allowed smaller companies and researchers to compete with larger and more patented ai systems. This is aligned with the widest trend in the ai ​​industry, where open source models are increasingly seen as a way of democratizing ai and promoting innovation.

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7. Long -term vision: Calculate how the last resort

Regardless of the cost of training, the Real battle in ai It is expected to finish Calculate resources. As the ai ​​models become more advanced, the amount of computing required for inference (executing the model) will increase. Deepseek's efficiency in this area could give them a long -term competitive advantage.

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Conclusion

The Deepseek monetization strategy seems to be multifaceted: take advantage of its central experience in quantitative trade, optimize the use of GPU and offer access to low -cost API. Its open source approach not only interrupts the ai ​​industry, but also positions them as a key player in the global IA race. Whether this is a strategic movement to challenge the mastery of the United States or simply a gift to the open source community, Deepseek has undoubtedly changed the game in ai.

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