Deepseek kan värderas till 410 miljarder i första runda
Kinesiska AI-labbet Deepseek kan få en värdering på omkring 45 miljarder dollar, motsvarande drygt 410 miljarder kronor, i en första finansieringsrunda. Det rapporterar Financial Times.
En av de parter som överväger en investering i bolaget är statliga investeringsfonden ICF. Även Tencent uppges överväga en investering i Deepseek.
bakgrund
China Integrated Circuit Industry Investment Fund
Wikipedia (en)
The China Integrated Circuit Industry Investment Fund (ICF; Chinese: 国家集成电路产业投资基金; pinyin: Guójiā Jíchéng Diànlù Chǎnyè Tóuzī Jījīn), also known as the National Integrated Circuit Industry Investment Fund and the Big Fund (Chinese: 国家大基金; pinyin: Guójiā Dàjījīn), is a China Government Guidance Fund. The fund aims to help China reach its national goal of achieving self-sufficiency in the semiconductor industry (as part of the Made in China 2025 plan) by investing in domestic semiconductor companies. It has played a significant role with regards to the semiconductor industry in China by funding companies such as SMIC, Hua Hong Semiconductor, and YMTC.
The fund has three phases respectively, with Big Fund I (2014 to 2019), Big Fund II (2019 to 2024), and Big Fund III (2024 to 2039). The fund's management company is Sino IC Capital.
bakgrund
Deepseek
Wikipedia (en)
Hangzhou DeepSeek Artificial Intelligence Basic Technology Research Co., Ltd., doing business as DeepSeek, is a Chinese artificial intelligence (AI) company that develops large language models (LLMs). Based in Hangzhou, Zhejiang, DeepSeek is owned and funded by High-Flyer, a Chinese hedge fund. DeepSeek was founded in July 2023 by Liang Wenfeng, the co-founder of High-Flyer, who also serves as the CEO for both of the companies. The company launched an eponymous chatbot alongside its DeepSeek-R1 model in January 2025.
DeepSeek-R1 provided responses comparable to other contemporary large language models, such as OpenAI's GPT-4 and o1. Its training cost was reported to be significantly lower than other LLMs. The company claims that it trained its V3 model for US$6 million—far less than the US$100 million cost for OpenAI's GPT-4 in 2023—and using approximately one-tenth the computing power consumed by Meta's comparable model, Llama 3.1. DeepSeek's success against larger and more established rivals has been described as "upending AI".
DeepSeek's models are described as "open-weight", meaning the exact parameters are openly shared, but the training data is not openly licensed. Since the January 2025 debut of DeepSeek-R1, the company has made its new models available under free and open-source software licenses, primarily the MIT License. The company reportedly recruits AI researchers from top Chinese universities and also hires from outside traditional computer science fields to broaden its models' knowledge and capabilities.
DeepSeek significantly reduced training expenses for their R1 model by incorporating techniques such as mixture of experts (MoE) layers. The company also trained its models during ongoing trade restrictions on AI chip exports to China, using weaker AI chips intended for export and employing fewer units overall. Observers say this breakthrough sent "shock waves" through the industry which were described as triggering a "Sputnik moment" for the US in the field of artificial intelligence, particularly due to its open-source, cost-effective, and high-performing AI models. This threatened established AI hardware leaders such as Nvidia; Nvidia's share price dropped sharply, losing US$600 billion in market value, the largest single-company decline in U.S. stock market history.
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