Seek .(US:SKLTY) Xin Lang Cai Jing·2025-09-19 13:25Core Insights - DeepSeek has achieved a significant breakthrough in AI model training costs, with the DeepSeek-R1 model costing only $294,000 to train, which is substantially lower than the costs reported by American competitors [1][2][4] - The model's training utilized 512 NVIDIA H800 chips, and the total training time was 80 hours, marking it as the first mainstream large language model to undergo peer review [2][4] - The cost efficiency of DeepSeek's model has sparked discussions about China's position in the global AI landscape, challenging the notion that only countries with the most advanced chips can dominate the AI race [1][2] Cost Efficiency - The training cost of DeepSeek-R1 is reported at $294,000, while OpenAI's CEO indicated that their foundational model training costs exceed $100 million [2] - DeepSeek's approach emphasizes using a large amount of free data for pre-training and fine-tuning with self-generated data, which has been recognized as a cost-effective strategy [5][6] Response to Criticism - DeepSeek addressed accusations from U.S. officials regarding the alleged illegal acquisition of advanced chips, clarifying that they used legally procured H800 chips and acknowledging prior use of A100 chips for smaller model experiments [4][5] - The company defended its use of "distillation" technology, which is a common practice in AI, asserting that it enhances model performance while reducing costs [5][6] Competitive Landscape - The success of DeepSeek-R1 demonstrates that AI competition is shifting from merely having the most GPUs to achieving more with fewer resources, thus altering the competitive dynamics in the industry [6][7] - Other AI models, such as OpenAI's GPT-4 and Google's Gemini, still hold advantages in certain areas, but DeepSeek's model has set a new standard for cost-effective high-performance AI [6][7]