LUMA AI完成由HUMAIN领投的9亿美元C轮融资，并将在沙特阿拉伯合作建设2吉瓦AI超级集群

Core Insights - Luma AI has raised $900 million in Series C funding to accelerate its development towards multimodal AGI, which can simulate reality and assist humans in the physical world [1][3][4] - The partnership with HUMAIN aims to build Project Halo, a 2 GW AI supercluster in Saudi Arabia, which will support the training of large-scale world models [3][4][5] - The collaboration is expected to unlock significant opportunities across various sectors, including entertainment, marketing, education, and robotics, potentially worth trillions [1][4] Company Overview - Luma AI is focused on creating multimodal general intelligence capable of generating, understanding, and manipulating the physical world [8] - The flagship model, Ray3, has been successfully deployed in studios, advertising agencies, and brands, including integration with Adobe's global products [7][8] - HUMAIN, a PIF company, provides comprehensive AI capabilities across four core areas: next-generation data centers, high-performance infrastructure, advanced AI models, and transformative AI solutions [9] Funding and Infrastructure - The $900 million funding round was led by HUMAIN, with participation from AMD Ventures and previous investors like Andreessen Horowitz and Matrix Partners [1][3] - The Project Halo supercluster will represent a significant leap in multimodal AI infrastructure, enabling the training of peta-scale multimodal data [5][6] - Luma AI plans to expand its leadership in entertainment and advertising into simulation, design, and robotics with the new funding [7] Strategic Goals - The partnership aims to create AI systems that can learn from vast amounts of data, estimated at quadrillions of tokens, to enhance understanding and simulation of reality [5][6] - HUMAIN's investment philosophy emphasizes building a complete value chain to support the next wave of AI development [5] - The collaboration is set to establish new benchmarks for how capital, computing power, and capabilities can be integrated in the AI sector [5]