Hangzhou-based DeepSeek is 2025’s ‘biggest dark horse’ in open-source large language models, Nvidia research scientist Jim Fan says
Chinese start-up DeepSeek has garnered global recognition with the release of DeepSeek V3, an open-source large language model (LLM) featuring 671 billion parameters. Developed in just two months for $5.5 million, the model leverages cost-efficient training with Nvidia’s H800 GPUs, showing how innovation thrives under resource constraints. By comparison, OpenAI’s GPT-4, with 1.76 trillion parameters, reportedly required over $100 million and six months to develop. Despite its smaller scale, DeepSeek V3 demonstrates comparable efficiency and adaptability at a fraction of the time and cost.
This remarkable achievement underscores the ingenuity of Chinese AI firms, even in the face of U.S. semiconductor sanctions. Praised by experts such as Nvidia’s Jim Fan and OpenAI’s Andrej Karpathy, DeepSeek V3’s success challenges larger players like Meta. It highlights the impact of pragmatic, efficient research in advancing AI innovation.
My Take
DeepSeek’s rapid progress underscores the critical role of innovative problem-solving in environments with limited resources, such as restricted funding, manpower, or access to advanced technology.
While DeepSeek’s open-source approach is a surprising and refreshing move for a Chinese company, it inevitably raises questions about the Chinese government’s role and intentions. This emphasizes the importance of transparency and trust to ensure such initiatives align with global collaboration rather than strategic state interests.
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Credit: South China Morning Post
This post was enhanced with AI assistance, thoroughly reviewed, edited, and reflects my own thoughts.