FuriosaAI Rejects $800M Meta Offer to Stay Independent, Focus on AI Chip Innovation

March 24, 2025
FuriosaAI Rejects $800M Meta Offer to Stay Independent, Focus on AI Chip Innovation
  • This strategic choice reflects FuriosaAI's confidence in its business model and its commitment to long-term growth in the semiconductor industry.

  • FuriosaAI, a South Korean AI chip startup founded in 2017 by June Paik, has rejected an $800 million acquisition offer from Meta to maintain its independence and focus on innovation in chip development.

  • The company's leadership believes that joining Meta could jeopardize its long-term vision and operational autonomy, prompting the decision to remain independent.

  • Currently, the startup employs around 150 people and is providing chip samples to clients such as LG AI Research and Saudi Aramco.

  • FuriosaAI has developed two AI chips, Warboy and Renegade (RNGD), to compete with industry giants Nvidia and AMD.

  • Following the news of the rejected acquisition, shares of DSC Investment Inc., a major investor in FuriosaAI, fell over 16% after previously rising due to acquisition speculation.

  • FuriosaAI's self-developed RNGD chip boasts a thermal design power of 150W, delivering three times better performance per watt compared to Nvidia's H100 GPUs.

  • The startup is currently raising approximately $48 million to support its technology development efforts and accelerate the commercialization of its Renegade chip.

  • Managing Director Jeong Young-beom has expressed a desire for investment while keeping all options open for the company's future, despite funding challenges in South Korea.

  • FuriosaAI's decision to prioritize technological independence may encourage the rise of additional homegrown competitors in the AI hardware sector, particularly in Asia.

  • The startup's mission focuses on building AI chips that can efficiently run advanced models, contributing to sustainable AI computing.

  • Meta's interest in acquiring FuriosaAI was part of its strategy to enhance its AI capabilities and reduce dependence on Nvidia for AI chips.

Summary based on 25 sources


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