{
  "id": 17031519,
  "title": "FuriosaAI Raises $620 Million To Challenge NVIDIA and Solve Data Center Power Bottleneck",
  "url": "https://urgent.news/2026/10/29/furiosaai-raises-620-million-to-challenge-nvidia-and-solve-data",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-10-29T08:22:55.000Z",
  "source": {
    "name": "Ventureburn",
    "slug": "ventureburn",
    "url": "https://ventureburn.com/furiosaai-raises-620-million-challenge-nvidia-on-ai-chip-power/"
  },
  "original_language": "en",
  "account": "FuriosaAI, a Seoul-based chipmaker, has secured $620 million in funding to develop chips that can handle AI inference, a process that is increasingly becoming the bottleneck in data centers. The round, FuriosaAI's Series D, was led by South Korea's National Growth Fund and included international investors such as Infinitum and Cisco Investments. This brings the company's valuation to an impressive $2.9 billion, four times its previous valuation of $735 million.\n\nFuriosaAI's flagship chip, the RNGD (Renegade), is designed for inference tasks rather than the training of AI models. It stands out with its Tensor Contraction Processor, which reduces the energy-intensive data shuffling typically handled by GPUs. FuriosaAI claims that its 180-watt, air-cooled RNGD chip matches the performance of GPUs that consume twice the power or more, offering a significant energy efficiency advantage.\n\nThe chip supports popular AI frameworks like PyTorch and Hugging Face models and can serve as a drop-in replacement for vLLM. It has already been implemented in large-scale deployments, including LG's EXAONE models and Samsung SDS's cloud service. The RNGD chip entered mass production in January, with TSMC manufacturing the chips.\n\nFuriosaAI's success in this $620 million funding round is a testament to the growing demand for efficient AI inference chips. As data centers face increasing power constraints, FuriosaAI's solution could prove crucial for scaling AI applications without the need for additional power infrastructure. The company aims to build 20,000 RNGD chips in 2024 and over 40,000 in 2027, with a third-generation chip in development alongside Broadcom. While NVIDIA continues to dominate the AI chip market, the growing power limitations could open the door for innovative players like FuriosaAI to make a significant impact.",
  "summary": "The AI power problem is one that hasn’t been fully resolved. Data centres are running out of electricity faster than they’re running out of chips. FuriosaAI raises $620 million to The post FuriosaAI Raises $620 Million To Challenge NVIDIA and Solve Data Center Power Bottleneck appeared first on Ventureburn .",
  "key_points": [
    "FuriosaAI raises $620 million in Series D funding led by National Growth Fund.",
    "RNGD chip designed for AI inference tasks, not model training.",
    "RNGD chip offers 50% energy efficiency advantage over GPUs."
  ],
  "editors_take": "The massive influx of capital positions this Seoul-based chipmaker to disrupt NVIDIA's dominance by addressing the critical energy constraints currently limiting the scaling of global data center AI applications.",
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}