TREE NEWS update: Sugon Smart Computing president He Mujun said on September 15 at the 2026 Computing Power Network Development Conference that China’s national supercomputing internet platform has built six major agent matrices covering more than 170 core computing scenarios, with over 500 agents and 10,000-plus skills launched cumulatively. Users can assemble custom scientific computing agents using more than 16,000 content components and conversational building tools without coding expertise.
China’s national supercomputing network tops 500 AI agents online
The significance here is less the raw agent count than the shift in who can run serious scientific computing: conversational assembly and reusable components lower the barrier for researchers without coding expertise. If that holds, demand for compute shifts from a few large labs toward a much wider, more fragmented user base, which is exactly the kind of load a national network is built to pool. The open question is whether usage concentrates in a handful of the cited scenarios or spreads across the full matrix.
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