China-Backed Investors Value DeepSeek at Up to $50 Billion

May 7, 2026
Chinese AI startup DeepSeek is raising its first external funding round, with government-backed investors valuing the company at up to $50 billion, according to the Wall Street Journal.
China-Backed Investors Value DeepSeek at Up to $50 Billion
Image: DeepSeek

DeepSeek is raising its first external funding round, with Chinese government-backed investors valuing the company at up to $50 billion, according to the Wall Street Journal.

The fundraising marks a shift for DeepSeek, which previously avoided outside capital. The round is expected to be led by China's national artificial intelligence fund, backed by the China Integrated Circuit Industry Investment Fund. The fund was established to support domestic AI development and reduce reliance on foreign technology.

Sources told Reuters that DeepSeek could raise between $3 billion and $4 billion to expand its computing capacity and improve employee incentives. The company was founded by hedge fund billionaire Liang Wenfeng, who has so far financed it through his firm High-Flyer Capital Management.

Chinese technology firms including Tencent and Alibaba Group are also in discussions to participate in the round. DeepSeek has gained prominence for its large language models optimized for hardware produced by Huawei, positioning it as a key player in China's push for AI self-sufficiency.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief, AI Funding Brief or Daily AI Brief.

Also, consider following us on social media:

Enterprise AI AI Funding News AI Brief AI Brief (X)
Free newsletter

AI Funding Brief

Guide
AI tools for teachers

AI tools for teachers

AI software for planning lessons, adapting materials, running activities and reviewing student work.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.