DeepSeek, a Chinese AI company, is making waves with its new AI model, DeepSeek R1.
This breakthrough model is challenging U.S.-based AI giants like OpenAI and Google, while also putting pressure on Nvidia, the leading supplier of AI chips.
DeepSeek R1 has quickly risen to the global top 10 in AI performance. Despite using fewer and less powerful chips, it offers performance close to OpenAI’s models but at a fraction of the cost.
According to reports, R1’s open-source model is being downloaded widely, and businesses are shifting to it because of its lower price and similar capabilities.
DeepSeek’s ability to create a powerful AI model at a much lower cost than its competitors is drawing attention.
For example, DeepSeek trained R1 for just $5.6 million, far less than the $100 million to $1 billion spent by other companies on similar models.
This has made R1 an attractive option for companies looking to cut costs while still getting effective AI solutions.
DeepSeek’s success may slow Nvidia’s growth. U.S. export restrictions on Nvidia’s most powerful chips, such as the H100, have forced Chinese companies like DeepSeek to innovate with less powerful chips.
DeepSeek’s team managed to make this work efficiently, which could lead other startups to adopt similar strategies, reducing their reliance on Nvidia’s most expensive products.
Marc Andreessen, a prominent venture capitalist, called DeepSeek R1 “one of the most amazing and impressive breakthroughs” he’s seen.
Despite its lower-cost approach, DeepSeek’s R1 has impressed experts and even Microsoft’s CEO Satya Nadella, who praised the company’s efficiency.
As more companies look for ways to reduce the cost of generative AI, DeepSeek’s success could inspire other startups to follow suit. This could mean less demand for Nvidia’s high-end chips, potentially affecting its revenue growth.
DeepSeek’s breakthrough model is shaking up the AI market. With its low-cost, high-performance AI, DeepSeek could lead to a shift in how AI models are developed and used.
As more startups embrace this approach, Nvidia may face slower growth in the coming years.