FugakuNEXT aims to revolutionize AI-driven science and global research
Japan is preparing to reclaim its position at the forefront of high-performance computing with FugakuNEXT, a hybrid AI-HPC supercomputer designed to surpass exascale and venture into uncharted zetta-scale territory. Announced at a ceremony in Tokyo on August 22, the project marks a major collaboration between RIKEN, Fujitsu, and, for the first time, Nvidia, bringing together Japan’s sovereign infrastructure and U.S. GPU technology in a system built for the next decade of scientific and industrial challenges.
Fugaku, installed in 2020, held the world’s top spot for two years and played a crucial role during the COVID-19 pandemic, where its simulations helped guide research and response efforts. Today, it still ranks seventh globally, but Japan is already looking ahead. FugakuNEXT is expected to come online around 2030 at RIKEN’s Kobe campus on Port Island, with a development budget exceeding 110 billion Yen ($740 million USD). This marks the latest in a lineage of Japanese flagship supercomputers—from the Earth Simulator in 2002 to the K computer in 2011 and Fugaku itself—each of which once held the crown for computational speed.
RIKEN has set quite ambitious goals for FugakuNEXT, projecting a fivefold increase in hardware performance over the original Fugaku, combined with a twentyfold software and algorithmic improvements through optimizations such as mixed-precision computing and physics-informed neural networks. Together, these advances are expected to deliver a massive hundredfold increase in real-world application performance compared to today’s machines.
Early targets already place the system’s peak at around 600 exaFLOPS in FP8 sparse precision, with the potential to become the world’s first zetta-scale supercomputer. Crucially, RIKEN has also confirmed that this leap in performance will be achieved within the same forty-megawatt power envelope as Fugaku, underscoring energy efficiency as a core principle of the project.
The institution also frames FugakuNEXT not just as a technical upgrade but as an integrated AI-HPC platform and a model for “AI for Science.” By automating various aspects of the research process—from hypothesis generation to experiment simulation and validation—the machine aims to accelerate discovery across diverse fields, including climate modeling, drug development, disaster resilience, and advanced manufacturing.
More importantly, Nvidia will serve a crucial role as its full software stack will be integrated into the supercomputer, from CUDA-X libraries for quantum simulation and data science to TensorRT for inference and NeMo for large language model training, reflecting the growing role of AI as a scientific instrument.
https://www.tomshardware.com/tech-industry/supercomputers/nvidia-gpus-and-fujitsu-arm-cpus-will-power-japans-next-usd750m-zetta-scale-supercomputer-fugakunext-aims-to-revolutionize-ai-driven-science-and-global-research

