technology••5 min read

South Korea’s New 'Hangang' Supercomputer Marks a Massive Leap in AI and Quantum Research

South Korea has officially launched 'Hangang,' its sixth national supercomputer, delivering a 24-fold performance increase over previous systems. The $276 million machine is designed to lead the next generation of AI research and will be linked to a quantum computer in 2027.

South Korea’s New 'Hangang' Supercomputer Marks a Massive Leap in AI and Quantum Research

A New Era for Korean Supercomputing

South Korea has officially entered a new phase of high-performance computing with the launch of its sixth national supercomputer, 'Hangang.' Named after the iconic Han River that flows through Seoul, this system is a $276 million investment by the Korea Institute of Science and Technology Information (KISTI) designed to supercharge the nation's scientific research capabilities.

The jump in capability is staggering. Hangang is 24 times faster than its predecessor, 'Nurion,' which served as the nation's workhorse since 2018. By integrating 8,496 Nvidia GH200 GPUs, the system is positioned to handle intensive workloads ranging from climate modeling and battery technology development to large-scale AI model training.

The launch ceremony of the Hangang supercomputer at the KISTI headquarters in Daejeon.
The launch ceremony of the Hangang supercomputer at the KISTI headquarters in Daejeon.

Efficiency Meets Raw Power

Beyond raw speed, Hangang introduces a major technical shift in thermal management. Unlike previous generations that relied on traditional air cooling, KISTI has implemented a direct liquid cooling system. By circulating water directly to the processor chips, the facility has improved its power usage effectiveness (PUE) from 1.35 in the Nurion system down to 1.15—a significant leap in sustainable data center operations.

The Path to Hybrid Quantum Computing

Perhaps the most ambitious aspect of the Hangang project is its roadmap for 2027. KISTI, alongside partners including Nvidia and IonQ, plans to link the supercomputer to IonQ’s 'Tempo' quantum computer. This hybrid architecture aims to combine the strengths of both worlds:

  • Classical supercomputing handles large-scale numerical work and data preparation.
  • Quantum processors tackle specific, highly complex optimization tasks.
  • A continuous loop between the two systems will solve problems previously considered intractable.

Hangang sits at the meeting point of both tracks. It inherits decades of national HPC practice and adds an early bet on the quantum-HPC model.

— Shattered.io

With the goal of ranking among the world’s top 10 most powerful systems, Hangang is not just a hardware upgrade; it is a strategic foundation for South Korea to maintain its global competitiveness in the rapidly evolving fields of AI and quantum science.

Key Takeaways

  • Hangang is the sixth national supercomputer of South Korea, boasting 24 times the speed of the 2018 Nurion system.
  • The system utilizes 8,496 Nvidia GH200 GPUs to support advanced research and AI model training.
  • A direct liquid cooling implementation has significantly improved energy efficiency, lowering the PUE to 1.15.
  • The government plans to connect the supercomputer to IonQ’s quantum computer in 2027 to create a hybrid computing environment.
  • The project aims to place South Korea in the top 10 global rankings for high-performance computing power.

FAQ

What is the name of South Korea's new supercomputer?

The new supercomputer is named 'Hangang,' after the Han River that runs through Seoul.

How much faster is Hangang compared to its predecessor?

Hangang is 24 times faster than 'Nurion,' which was the country's national supercomputer from 2018 until the launch of Hangang.

When will the quantum computer link-up happen?

The integration of the Hangang supercomputer with a quantum computer is scheduled for the first half of 2027.

What cooling technology does Hangang use?

Hangang uses a direct liquid cooling system, circulating water directly onto the processor chips to improve power efficiency.

Which organizations are involved in the hybrid project?

The project is led by the Korea Institute of Science and Technology Information (KISTI) in collaboration with partners including Nvidia and IonQ.

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