Supercomputer 'Nano4' of the 'Jingchuang 26' System Officially Operational, Accepting Computing Power Applications

(Central News Agency, Taipei, July 1) In response to the massive computing demands brought about by the rapid development of generative artificial intelligence (AI), Nano4, a supercomputer system with an H200 architecture built by the National Center for High-Performance Computing (NCHC) of the National Applied Research Laboratories (NARLabs) as part of the 'Jingchuang 26' project, officially commenced operations today. Offering 81.55 Petaflops, it is now open for applications from academia, industry, and research sectors. The fee structure is based on the principle of 'preferential rates for public research, reasonable burden for commercial use,' with the aim of maximizing the scientific research and industrial benefits of national-level computing resources.

Jingchuang 26 is one of the key achievements of the 'Chip-Driven Industrial Innovation and Upgrading - Next-Generation High-Speed Computing Host and AI Evaluation Environment Construction Plan.' Jingchuang 26 features a dual computing architecture design, including Nano4 (H200 architecture system) and next-generation GB200 NVL72 architecture nodes, capable of meeting both general scientific simulation and AI training high-performance computing needs.

The NCHC introduced that Nano4's highest measured performance (Rmax) is 81.55 Petaflops (1 Petaflops represents one quadrillion floating-point operations per second), making it Taiwan's fastest and most computationally dense supercomputer. In the TOP500 supercomputer rankings released in June this year, it ranked 33rd globally.

The NCHC stated that Nano4 officially begins operations today. High-performance computing services are primarily open for applications from domestic academia, industry, and research sectors. Anyone with academic research, teaching, industrial innovation, or government public service needs can obtain the required computing resources through the official platform.

The NCHC explained that differentiated fees will be applied based on different user groups and project natures, categorized into National Science and Technology Council (NSTC) projects, academic/government and corporate projects, and enterprise/individual projects. Fees for the academic and research community are particularly preferential to lower the threshold for AI adoption in these sectors.

The NCHC pointed out that the service content is not the same as public cloud services. The purpose of the NCHC's computing services is to promote domestic scientific research to effectively utilize computing power. Therefore, the computing architecture is designed for forward-looking research and uses higher specifications suitable for training, resulting in different fee structures.

The NCHC stated that the overall fee structure adheres to the principle of 'preferential rates for public research, reasonable burden for commercial use,' hoping to maximize the scientific research and industrial benefits of national-level computing resources. Concurrently, a flexible fee mechanism will be maintained depending on different policy objectives and project natures. For major policy promotions, forward-looking technology research and development, startup teams, and proof-of-concept (POC) projects, more flexible preferential plans or computing power support mechanisms are being planned. Related information can be found on the NCHC iService Computing Resource Service website (https://iservice.nchc.org.tw/). (Editor: Yang Kai-hsiang) 1150701

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