18 DeepSeek AI Facts You Need to Know

2025-01-28

DeepSeek AI Facts

BittimeDeepSeek AI has been trending in the past and has managed to attract global attention due to its approach focused on fundamental research and cost efficiency.

Here are 18 facts about DeepSeek AI that you need to know. Read this article to find out more!

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1. Established in May 2023

DeepSeek AI was founded in May 2023 as a spin-off of High-Flyer, a large hedge fund that chose to prioritize AI research over the pursuit of quick profits. This approach is reminiscent of OpenAI's early days, which also focused on long-term innovation.

2. Backed by a Hedge Fund Worth 100 Billion RMB

High-Flyer, which once had assets of around $15 billion, provided strong financial backing for DeepSeek AI. This allows companies to experiment with high technology without the pressure of immediately generating revenue.

3. Has 10,000 Nvidia H100 GPUs

DeepSeek AI strategically secured 10,000 Nvidia H100 GPU units before export control policies were tightened. This gives them an edge in computing power and allows them to compete with larger Western AI labs.

4. Young and Talented Research Team

The majority of researchers at DeepSeek AI are new graduates in the last two years. This creates a fresh and innovative environment without the burden of corporate bureaucracy.

5. Using Full Reinforcement Learning for R1-Zero

Instead of relying on supervision-based fine-tuning, DeepSeek AI makes full use of reinforcement learning (RL). This approach improves modeling skills in mathematics and programming.

6. Multi-Head Latent Attention (MLA)

DeepSeek AI applies MLA to split attention mechanisms in their AI models. This speeds up the training process and improves output quality, despite using fewer computing resources.

Read Also: The Influence of China's DeepSeek AI on the Crypto Market, Here's the Impact! 

7. Mixture-of-Experts (MoE) for Efficiency

MoE technology in DeepSeek AI allows activation of only a certain number of parameters according to the task being carried out. This drastically reduces computing costs while maintaining high performance.

8. 671 Billion Parameters in DeepSeek-V3

DeepSeek AI-V3 has the same number of parameters as the world's best AI models, but with much lower training costs thanks to resource optimization.

9. Training Costs Only $5.5 Million

Compared to other large AI models that cost billions of dollars, DeepSeek AI-V3 only costs about $5.5 million to train. This shows efficiency in reinforcement learning and model architecture.

10. Distillation Model: R1-Distill

DeepSeek AI also developed the "R1-Distill", a lighter, but still sophisticated model. This model is designed for devices with limited hardware so they can still access the latest AI technology.

11. MIT License for Open-Source

DeepSeek AI releases its models with an MIT license, allowing developers around the world to freely adapt and commercialize their technology.

12. API Fees Only $0.55 per Million Tokens

DeepSeek AI-R1 offers very competitive API pricing of just $0.55 per million tokens. In comparison, some competitors in the US charge up to $15 or more for the same number of tokens.

Read Also: Bitcoin Down Today, Was It Caused by DeepSeek AI? 

13. Huge Impact on China's AI Market

DeepSeek AI's competitive pricing forced Chinese tech giants like Alibaba, Baidu, and Tencent to lower the prices of their AI services, ultimately accelerating widespread AI adoption.

14. Focus on Fundamental Research

Rather than simply pursuing practical applications, DeepSeek AI invests their resources in bold and innovative fundamental research, reminiscent of OpenAI's initial strategy.

15. Overcoming US Export Constraints

Despite the US chip embargo, DeepSeek AI continues to innovate by developing advanced GPU communication optimization and memory management to remain competitive in the global market.

16. Nationalistic Encouragement in AI

DeepSeek AI researchers often see their work as an effort to improve China's position in the global AI industry. This combines the spirit of nationalism with scientific dedication.

17. Global Media Coverage

DeepSeek AI has attracted the attention of international media such as Wired and Forbes. They recognized the efficiency of DeepSeek's AI model as well as the open-source approach implemented.

18. Great Potential in the Future

With a focus on reinforcement learning, scalability, and cost-effective AI architecture, DeepSeek AI has the potential to change the landscape of the global AI industry in the next few years.

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Conclusion

Those are the 18 facts DeepSeek AI has proven its potential as an innovator in the world of artificial intelligence. 

With its efficient approach, passionate team, and bold strategy, DeepSeek AI not only competes with global AI giants, but also sets new standards in the industry. 

Read Also: DeepSeek AI Trending, Be Careful of Lots of Scam Tokens! 

DeepSeek AI FAQs

What is DeepSeek AI?

DeepSeek AI is an artificial intelligence from China that offers advanced AI solutions with lower costs and high efficiency, even able to compete with popular AI such as OpenAI and Google DeepMind.

Is DeepSeek AI Only Used in China?

No, although DeepSeek AI was developed in China, this technology has the potential to be used globally. Its increasing popularity shows its appeal in the international market.

How to Avoid DeepSeek AI Token Scam?

Always do research before investing and use platforms like Uniswap or DexScreener to check the credibility of a token.

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Reference

SEO.AI, DeepSeek AI Statistics and Facts (2025), accessed January 28, 2025.

 

Author: IPR

Disclaimer: The views expressed belong exclusively to the author and do not reflect the views of this platform. This platform and its affiliates disclaim any responsibility for the accuracy or suitability of the information provided. It is for informational purposes only and not intended as financial or investment advice.

Table of Contents
1. Established in May 2023
2. Backed by a Hedge Fund Worth 100 Billion RMB
3. Has 10,000 Nvidia H100 GPUs
4. Young and Talented Research Team
5. Using Full Reinforcement Learning for R1-Zero
6. Multi-Head Latent Attention (MLA)
7. Mixture-of-Experts (MoE) for Efficiency
8. 671 Billion Parameters in DeepSeek-V3
9. Training Costs Only $5.5 Million
10. Distillation Model: R1-Distill
11. MIT License for Open-Source
12. API Fees Only $0.55 per Million Tokens
13. Huge Impact on China's AI Market
14. Focus on Fundamental Research
15. Overcoming US Export Constraints
16. Nationalistic Encouragement in AI
17. Global Media Coverage
18. Great Potential in the Future
Conclusion
DeepSeek AI FAQs
How to Buy Crypto with Bittime
Reference
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