🌐As global intelligent computing clusters enter the “ten-thousand GPU era” and accelerate toward deployments at the scale of hundreds of thousands of GPUs, communication bottlenecks in traditional single-server eight-GPU architectures have become increasingly prominent in large model training. The industry is rapidly shifting toward supernode architectures with stronger interconnect capabilities.
📶Recently, leveraging the OISA (Omni-directional Intelligent Sensing and Interconnection) collaborative innovation platform, Moore Threads,
#ChinaMobile, and Zhijiang Lab, together with other industry partners, jointly released the OISA High-Density Supernode Reference Design Technical Specification. This initiative provides a systematic technical framework for building autonomous, high-performance intelligent computing clusters.
💡The specification significantly enhances computing density per unit space by redesigning the physical layout and interconnection topology of intelligent computing centers. In addition, it introduces high-voltage direct current (HVDC) centralized power supply and liquid cooling technologies, reducing Power Usage Effectiveness (PUE) to 1.05–1.15, effectively addressing the energy consumption and heat dissipation challenges posed by high-power GPUs.
🛜Industry observers note that the release of this specification marks a new phase in the standardization and collaborative development of intelligent computing infrastructure, laying a solid foundation for the future evolution of the computing ecosystem.
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#oisa #AI #GPU #AICluster #LiquidCooling #PUE #GreenComputing #HighPerformanceComputing