Despite US efforts to limit China’s access to advanced technology, DeepSeek turned the challenge into an opportunity. The company has developed DeepSeek in this way with the help of many times less resources. developed It means that it can compete directly with the AI products of OpenAI, Google, Microsoft and Meta. of The New York Times AccordingDeepSeek-V3’s engineers used far fewer specialized computer chips than their American competitors – which are essential for training the AI. These chips have been the main focus of the technological race between the US and China. The US imposed several restrictions on exports to maintain its AI lead, but the New York Times says DeepSeek’s success shows that Chinese researchers have become more innovative with the resources they have.
DeepSeek-V3 reportedly performed well at tasks such as answering questions, solving logic problems, and generating code. Even more impressive is the cost, with reports saying DeepSeek spent around $6 million on computing power, while Meta reportedly used $60 million for its latest AI product. While leading AI companies often use supercomputers with 16,000 or more chips, DeepSeek reportedly uses only 2,000 Nvidia chips.
Not only this, DeepSeek can become more efficient in the coming times, because the developers have adopted the open-source path with it. DeepSeek has open-sourced its latest AI system, sharing the code with others. This fosters global collaboration, as noted Yineng Zhang, a software engineer at Bestain.