How DeepSeek competes with Silicon Valley giants

How DeepSeek competes with Silicon Valley giants

Background and Methods
DeepSeek is a Chinese AI startup founded in 2023, affiliated with Chinese hedge fund High-Flyer and founded by Liang Wenfeng. The company has risen rapidly due to the release of its AI model DeepSeek-R1, which outperforms similar products from Silicon Valley giants such as OpenAI's GPT-4 and Meta's Llama in reasoning and mathematical tasks. Despite facing US restrictions on the export of high-end AI chips, DeepSeek is still able to compete with Silicon Valley giants on cost and performance. This report analyzes its competitive strategy based on public information before March 15, 2025.
Data Collection
Relevant information about DeepSeek was collected through financial and technology media reports (such as WIRED, BBC, MIT Technology Review, etc.), focusing on its technical characteristics, business model, and market response. The competitive dynamics of Silicon Valley giants were extracted from their public statements and industry analysis, including the responses of OpenAI, Google, Meta, and Nvidia.
Quantitative analysis
The success of DeepSeek can be quantified in the following aspects:
Competitive Strategy
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Efficient resource utilization
Optimizing the training process to use stock Nvidia A100 chips and simpler chips cost just $5 million.
Innovative approach
Develop efficient model architecture, reduce computing resource requirements, and outperform OpenAI o1-mini in reasoning tasks.
Open Source Policy
Released multiple open source models, attracted the developer community, and became the most popular free app in Apple's App Store.
National support and talent
It may benefit from government support for AI development, recruiting a large number of AI talents from Tsinghua University and Peking University, and emphasizing a collaborative culture.
Geopolitical advantages
Amid tensions, offering non-Western AI models to attract data privacy-sensitive users.
Silicon Valley's response
Silicon Valley has had mixed reactions to DeepSeek's rise. Databricks CEO Ali Ghodsi believes DeepSeek represents a paradigm shift in the democratization of AI development, while an engineer at Meta said it is studying DeepSeek's technology to reduce costs. Perplexity publicly announced the use of DeepSeek's R1 model, hosted on non-Chinese servers, showing that its influence has extended to competitors ( Perplexity's X post ). Nvidia did not comment on the chips used by DeepSeek, but praised its reasoning method for requiring a large number of Nvidia GPUs and network support.
Discussion and Conclusion
DeepSeek's competitive advantage mainly stems from its efficient resource utilization and innovative approach. Despite facing hardware limitations, its model challenges the scaling model of Silicon Valley giants in terms of cost and performance. Its open source strategy and state support further strengthen its market position. Geopolitical tensions may make it an alternative choice for non-Western AI models, especially for users who are sensitive to data privacy.
One noteworthy detail is that the success of DeepSeek may prompt Silicon Valley companies to reevaluate their AI development costs and strategies. For example, Nvidia's stock price fell after the rise of DeepSeek, reflecting investors' concerns about the cost efficiency of Silicon Valley giants.
limitation
Because DeepSeek's commercialization plans are unclear, assessments of its long-term competitiveness may be limited. In addition, early data, such as chip inventory numbers, are controversial, with estimates ranging from 10,000 to 50,000 Nvidia A100 chips.
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