DeepSeek has rapidly gained worldwide attention.
This Chinese AI lab made headlines this week after its chatbot app soared to the top of the Apple App Store rankings. DeepSeek’s AI models, built with highly efficient computing techniques, have raised questions among Wall Street analysts and tech experts about the U.S.’s dominance in AI and the ongoing demand for AI chips.
The Origins of DeepSeek
DeepSeek is backed by High-Flyer Capital Management, a Chinese quantitative hedge fund that leverages AI for trading strategies.
High-Flyer was co-founded in 2015 by AI enthusiast Liang Wenfeng, who started trading while studying at Zhejiang University. By 2019, High-Flyer Capital Management had fully embraced AI-driven hedge fund operations.
In 2023, High-Flyer established DeepSeek as a separate AI research lab. With backing from its parent firm, DeepSeek spun off into an independent company to focus solely on AI advancements.
From the start, DeepSeek built its own data centers to train AI models. However, like many Chinese AI firms, it has faced challenges due to U.S. export restrictions on advanced hardware. To train its latest models, DeepSeek was forced to use Nvidia H800 chips—less powerful than the H100 chips available to U.S. companies.
The company actively recruits top AI researchers, often targeting Ph.D. candidates from leading Chinese universities. Interestingly, DeepSeek also hires individuals with no formal computer science background to enhance its models’ understanding of diverse topics.
DeepSeek’s Powerful AI Models
DeepSeek launched its first AI models—DeepSeek Coder, DeepSeek LLM, and DeepSeek Chat—in November 2023. However, it wasn’t until the introduction of the DeepSeek-V2 series in early 2024 that the company gained widespread recognition.
DeepSeek-V2, designed for text and image analysis, outperformed many competitors while being significantly more cost-efficient. This forced domestic rivals, including ByteDance and Alibaba, to lower the prices of their AI services and even make some free.
In December 2024, DeepSeek introduced DeepSeek-V3, further solidifying its reputation. According to internal testing, V3 outperforms both open-source models like Meta’s Llama and proprietary models such as OpenAI’s GPT-4o.
Another notable model, DeepSeek R1, launched in January 2025, is a reasoning-based AI designed for fact-checking and complex problem-solving. While slower than traditional models, it is more reliable for tasks in fields like physics, science, and mathematics.
Challenges and Future Prospects
Despite its success, DeepSeek faces regulatory constraints in China. Its AI models must comply with government regulations, ensuring responses align with the country’s ideological guidelines. As a result, DeepSeek’s chatbot avoids sensitive topics like Tiananmen Square and Taiwan’s independence.
One major question remains—how does DeepSeek sustain its business? The company offers many products below market rates and even provides some for free. It claims efficiency breakthroughs enable cost reduction, though some experts remain skeptical.
Developers have embraced DeepSeek’s models, which, while not fully open-source, come with permissive licenses allowing commercial use. Over 500 derivative models of DeepSeek R1 have been created on Hugging Face, with a combined 2.5 million downloads.
DeepSeek’s rapid rise has unsettled industry giants, contributing to an 18% drop in Nvidia’s stock price and prompting OpenAI CEO Sam Altman to address its growing influence.
As DeepSeek continues to refine its AI technology, its future remains uncertain, particularly amid increasing U.S. scrutiny of foreign AI developments. However, one thing is clear—DeepSeek is a disruptive force reshaping the AI landscape.
