DeepSeek suddenly crashed Bitcoin
On January 27, the download volume of DeepSeek, a Chinese AI model that has emerged as a dark horse, surpassed ChatGPT for the first time. It topped the list of APP stores in the United States and China, and the server was even paralyzed for a time, triggering the attention and reports of the global technology, investment and media circles.
Behind this incident, not only does it remind people of the possibility of rewriting the future development pattern of Sino-US technology. It also conveyed a short-term panic to the US capital market. Affected by this, Nvidia's decline was as high as nearly 15%, triggering a collective flash crash in the US stock technology sector.
According to incomplete statistics, the market value of the US stock market evaporated by more than 1 trillion US dollars in trading on Monday, losing one-third of the total market value of the crypto market. The crypto market, which closely follows the trend of the US stock market, also experienced a sharp drop caused by DeepSeek. Among them, Bitcoin fell to 97777, with a drop of 7.1% on the day. Many people are still confused, why did the crypto market plummet so quickly?
So where does the market panic come from? DeepSeek did not grow up by accumulating strong capital and a large number of graphics cards like OpenAI, Meta, or even Googel. OpenAI was founded 10 years ago, has 4,500 employees, and has raised $6.6 billion in funding to date. Meta spent $60 billion to develop an AI data center that is almost the size of Manhattan. On the other hand, DeepSeek was founded less than 2 years ago, started as a quantitative trader of A-shares, has 200 employees, and has a development cost of less than $10 million, without spending a huge amount of money to pile up Nvidia's GPU graphics cards.
DeepSeek breaks not only the cost advantages at the capital/technical level, but also the traditional concepts and ideologies that people have previously had. The result is shocking that the training cost has been reduced from $100 million to $5 million. The number of GPUs required has been reduced from 100,000 to 2,000. API costs have been reduced by 95%. It can run on gaming GPUs without data center hardware. More importantly, they are open source. This is not magic, just incredibly clever engineering.
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