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China Unveils New Supercomputer to Power AI Model Training

The new Tianhe Xingyi supercomputer runs on mysterious hardware with little technical details published – but it’s apparently faster than Tianhe-2

Ben Wodecki

December 15, 2023

1 Min Read
Chinese flag. China's National Supercomputer Center in Guangzhou has unveiled a new supercomputer for AI including large language model training
Don't expect Tianhe Xingyi on the next Top500 list as China no longer takes part in the program

At a Glance

  • The National Supercomputer Center in Guangzhou has revealed a new supercomputer to power AI workloads.

A Chinese government-owned supercomputing center has unveiled a new domestic supercomputer dubbed Tianhe Xingyi to power large language model training.

The National Supercomputer Center in Guangzhou unveiled the unit last week. No performance details were revealed, only that the supercomputer appears to be CPU-based, rather than GPUs.

Tianhe Xingyi will be used to meet computing demands for high-performance computing, model training and big data analysis.

The site in Guangzhou is already home to Tianhe-2, formerly the fastest supercomputer in the world, from June 2013 to June 2016. Chinese media reports that the new supercomputer can produce double the performance capabilities compared to Tianhe-2. However, Tianhe Xingyi won’t appear on the next Top500 list as China no longer takes part in the program.

The most recent Top500 list, published in November, stated China had 104 supercomputers in operation compared to the U.S.’s 161. Asia as a whole boasts some 192 machines while North America only accounts for 171. The latest list saw Oak Ridge’s Frontier maintain its hold on the top spot for the most powerful system, but Intel and Microsoft are catching up.

About the Author(s)

Ben Wodecki

Jr. Editor

Ben Wodecki is the Jr. Editor of AI Business, covering a wide range of AI content. Ben joined the team in March 2021 as assistant editor and was promoted to Jr. Editor. He has written for The New Statesman, Intellectual Property Magazine, and The Telegraph India, among others. He holds an MSc in Digital Journalism from Middlesex University.

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