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The affordability of DeepSeek is a myth: The revolutionary AI actually cost $1.6 billion to develop

Author : Max
Feb 26,2025

DeepSeek's surprisingly cost-effective AI model challenges industry giants. The company's self-proclaimed $6 million training cost for DeepSeek V3, using only 2048 GPUs, initially seemed revolutionary. However, a closer look reveals a much larger investment.

DeepSeek TestImage: ensigame.com

DeepSeek V3 leverages innovative technologies: Multi-token Prediction (MTP) for enhanced accuracy and efficiency; Mixture of Experts (MoE), utilizing 256 neural networks (eight activated per token); and Multi-head Latent Attention (MLA) for improved information extraction. These advancements contribute to the model's competitive performance.

DeepSeek V3Image: ensigame.com

Contrary to initial claims, SemiAnalysis revealed DeepSeek's use of approximately 50,000 Nvidia GPUs, including H800, H100, and H20 units, spread across multiple data centers. This infrastructure represents a substantial investment of roughly $1.6 billion, with operational expenses estimated at $944 million.

DeepSeekImage: ensigame.com

DeepSeek, a subsidiary of High-Flyer, owns its data centers, providing control and accelerating innovation. Its self-funded nature fosters agility. High salaries, exceeding $1.3 million annually for some researchers, attract top talent from Chinese universities.

The $6 million figure only reflects pre-training GPU costs, excluding research, refinement, data processing, and infrastructure. DeepSeek's total AI investment surpasses $500 million. Despite this, its streamlined structure enables efficient innovation.

DeepSeekImage: ensigame.com

While DeepSeek's success showcases the potential of well-funded independent AI companies, the "budget-friendly" narrative is misleading. Billions in investment, technological breakthroughs, and a skilled team are key factors. However, even with these substantial resources, DeepSeek's costs remain significantly lower than competitors, such as the reported $100 million spent on ChatGPT4o compared to DeepSeek's $5 million for R1. The disparity highlights DeepSeek's relative efficiency, despite the significant overall investment.

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