DeepSeek founder Liang Wenfeng says company raised USD 7.4 billion in first outside round
Liang Wenfeng, founder of DeepSeek, used profits from his hedge fund High-Flyer to start the AI company in 2023. In 2026, DeepSeek raised about USD 7.4 billion in its first outside funding round, with Liang contributing around USD 3 billion himself. A second round has reportedly raised about USD 15 billion from investors including CATL and Tencent, according to Bloomberg. The company is valued…
Key points
- DeepSeek raised about USD 7.4 billion in first outside round in June 2026, with Liang Wenfeng putting in around USD 3 billion
- A second round has reportedly raised about USD 15 billion from investors such as CATL and Tencent, per Bloomberg
- DeepSeek’s V3 model has 671B parameters but uses only ~37B per token, with final training run costing about USD 5.6M in GPU time
The story so far
6 episodes →- DeepSeek founder Liang Wenfeng says company raised USD 7.4 billion in first outside roundthis story
Liang Wenfeng: How DeepSeek’s Founder is Disrupting AI with Efficiency
analyticsinsight.net · 26 October 2026
Loading the full article…
This text was published by analyticsinsight.net and written by Santosh Kadali,Achu Krishnan. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.
More in Business & Funding
All →- OpenAI and Anthropic ban staff from wearing logos due to spy threats · 1 src
- Anthropic eyes biggest ever IPO as AI funding starts drying up · 1 src
- Microsoft offers buyouts to about 60,000 employees to fund AI investments · 14 src
- Anthropic files for potentially largest IPO ever, targeting $1.5 trillion to $2 trillion valuation · 40 src
- China's Star 50 index down 40%, losing ~$480B in market value · 1 src
Comments
via GitHub Discussions