据介绍，该解决方案的核心优势体现在四个维度：交付速度、算力密度、能效和灵活性。在交付速度方 面，所有核心模块，包括算力、冷却和电源单元，均在工厂完成预制、集成与测试，现场只需进行快速 拼装，预计部署时间可控制在6个月以内。这种交付速度的提升，意味着AI企业能够更快地将算力转化 为业务价值。 在算力密度方面，该方案的核心算力单元SuperX NeuroBlock最高支持24台NVIDIA GB300NVL72，功率 达3.5MW，为传统方案的7倍。通过与高密度液冷和HVDC供电系统的深度耦合，实现高算力密度，同 算力密度下占地面积大幅度减少，从而在更小的物理空间内释放更大的算力。 在能效方面，该方案全面采用高压直流(HVDC)供电技术，将端到端供电效率提升至98.5%以上，并结 合液冷技术，使整体PUE(电源使用效率)低至1.15，对比传统风冷(PUE约1.5)方案总体能耗降低23%。 SuperX表示，模块化AI工厂的创新点在于将算力、冷却、电源高度集成，将AI基础设施从"复杂定 制"转变为"标准化产品"，实现即插即用的根本性转变。这一创新解决方案有望驱动传统数据中心向AI 工厂全面转型。 10月1日，人工智 ...

Core Viewpoint - Super X AI Technology has launched the SuperX Modular AI Factory, a data center-level solution aimed at addressing the key pain points of traditional AI data center construction, including long build cycles, high costs, significant energy consumption, and scalability challenges [1][2]. Group 1: Product Features - The SuperX Modular AI Factory offers a full-stack solution that integrates computing power, cooling, and power systems, reducing the on-site delivery and deployment time to under 6 months, compared to the traditional 18-24 months [2][5]. - The solution features ultra-high density computing, with a single module capable of supporting up to 20MW and housing 6 SuperX NeuroBlock core computing units, which can support up to 144 NVIDIA GB300 NVL72 GPUs [3][5]. - The modular architecture allows for flexible expansion, enabling customers to scale from a single module to multiple units as business needs grow [3][6]. - The integration of high-voltage direct current (HVDC) technology enhances power efficiency, achieving over 98.5% end-to-end power efficiency and reducing overall energy consumption by 23% compared to traditional cooling systems [5][6]. Group 2: Strategic Implications - The launch of the SuperX Modular AI Factory signifies a strategic upgrade for SuperX, transitioning AI infrastructure from an engineering project to a standardized product, thereby enhancing deployment speed and energy efficiency [7]. - This innovation positions SuperX as a potential standard setter in the next generation of AI factories, aiming to drive the transformation of traditional data centers into AI-centric facilities [7].