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China puts 60,000-chip AI cluster online for research

Dawning Information Industry, also known as Sugon, has put a 60,000-processor AI computing cluster online at the national supercomputing internet core node, as China pushes to apply AI to scientific research.

Sugon said the system is China’s largest cluster dedicated to AI for science.

The national supercomputing network gives researchers and smaller companies access to more than 3 million CPU cores and over 200,000 GPUs nationwide.

The cluster is built for work in drug discovery and materials and energy research and uses six self-developed chip types, plus its scaleFabric networking technology.

🔗 Source: China Daily

🧠 Food for thought

Implications, context, and why it matters.

The scale of China’s new AI cluster could outpace today’s top supercomputers

  • The Zhengzhou system combines three of Sugon’s scaleX platforms. It began trial runs on Thursday, SCNet said, along with Sugon 1. SCNet is a national computing network that links computing resources for researchers and companies.
  • Sugon calls scaleX China’s first 10,000-card AI supercluster. The company puts total computing power at more than 5 exaflops 2.
  • Three platforms put potential performance near 15 exaflops, using a single scaleX as the baseline. That would beat El Capitan’s maximum performance by more than eight times on the latest TOP500 list of the world’s fastest supercomputers 1.
  • Each platform uses scaleX640 supernodes. Sugon describes them as the world’s first single-cabinet 640-card supernode 2.

Sugon’s open architecture signals a push for a self-reliant AI ecosystem

  • Sugon’s hardware connects to China’s state-backed SuperComputing Network (SCNet) 1.
  • At the hardware layer, the scaleX640 supernode supports accelerator cards from multiple brands. Cailian Press says it also works with mainstream computing ecosystems at the software layer 3.
  • That setup puts Sugon up against Chinese rivals like Huawei and Alibaba, which have built their own supernode products for the same market 3.
  • SCNet aims to pair hardware from companies such as Sugon with domestic software platforms. The effort targets a more self-reliant AI development ecosystem from chips to software 1.

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