Chinese supercomputer tops global computing efficiency list as race on for AI dominance
Tianhe Exa-node Prototype tops big data category, as Graph500 deems energy-aware big data computing necessary for future industry
Tianhe, developed by the National University of Defence Technology, is ranked at the top of the latest list of the world’s most power-efficient big data processing systems released this month, marking its second win since 2021.
According to the international supercomputer rating platform, the Green Graph500 list collects performance-per-watt metrics for running large graphs to compare the energy consumption of the fastest supercomputers for data-intensive problems.
The new version of China’s home-grown supercomputer Tianhe Exa-node Prototype achieved 6,320 MTEPS/W, placing it at the top of the big data category of the Green Graph500 ranking.
The performance metric – measured in million traversed edges per second per watt – assesses a computer’s ability to communicate information internally.
It outperformed a previous Tianhe Exa-node Prototype, which achieved 4,385 MTEPS/W and was ranked first-runner-up, and Eniad, a supercomputer developed by the University of Pennsylvania that ranked third with 2,057 MTEPS/W.
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