NVIDIA and RIKEN Advance Japan’s Scientific Frontiers With New Supercomputers for AI and Quantum Computing
NVIDIA (NVDA) and RIKEN announced two new GPU-accelerated supercomputers for AI for science and quantum computing, deploying a combined 2,140 NVIDIA Blackwell GPUs on GB200 NVL4 platforms with NVIDIA Quantum-X800 InfiniBand networking. One system will include 1,600 GPUs for life sciences, materials, climate, manufacturing and lab automation; the other will include 540 GPUs to accelerate quantum algorithms and hybrid quantum-classical research. The systems will act as proxy platforms for the planned FugakuNEXT collaboration with Fujitsu and are expected to be operational in spring 2026. FugakuNEXT is targeted for operation by 2030 and is described as aiming for 100x greater application performance versus prior CPU-based systems.
NVIDIA (NVDA) e RIKEN hanno annunciato due nuovi supercomputer accelerati da GPU per l'IA per la scienza e il calcolo quantistico, impiegando in totale 2,140 GPU NVIDIA Blackwell sulle piattaforme GB200 NVL4 con la rete NVIDIA Quantum-X800 InfiniBand. Un sistema includerà 1,600 GPU per scienze della vita, materiali, clima, manifattura e automazione di laboratorio; l'altro includerà 540 GPU per accelerare algoritmi quantistici e ricerche ibride quantistico-classiche. I sistemi agiranno come piattaforme proxy per la collaborazione FugakuNEXT prevista con Fujitsu e dovrebbero essere operativi nella primavera 2026. FugakuNEXT è mirato all'operatività entro il 2030 ed è descritto come volto a ottenere 100x maggiore prestazione applicativa rispetto ai precedenti sistemi basati su CPU.
NVIDIA (NVDA) y RIKEN anunciaron dos nuevos superordenadores acelerados por GPU para IA, ciencia y computación cuántica, desplegando un conjunto combinado de 2,140 GPUs NVIDIA Blackwell en las plataformas GB200 NVL4 con red NVIDIA Quantum-X800 InfiniBand. Un sistema incluirá 1,600 GPUs para ciencias de la vida, materiales, clima, manufactura y automatización de laboratorios; el otro incluirá 540 GPUs para acelerar algoritmos cuánticos e investigación híbrida cuántico-clásica. Los sistemas servirán como plataformas proxy para la colaboración planificada FugakuNEXT con Fujitsu y se espera que estén operativos en la primavera de 2026. FugakuNEXT está orientado a operar para 2030 y se describe como buscando 100x mayor rendimiento de aplicaciones frente a los sistemas anteriores basados en CPU.
NVIDIA (NVDA)와 RIKEN은 과학을 위한 AI와 양자 계산용 GPU 가속 슈퍼컴퓨터 두 대를 발표했으며, NVIDIA Quantum-X800 InfiniBand 네트워킹이 적용된 GB200 NVL4 플랫폼에 총 2,140개의 NVIDIA Blackwell GPU를 배치합니다. 한 시스템은 생명과학, 재료과학, 기후, 제조 및 실험실 자동화를 위해 1,600개 GPU를 포함하고; 다른 시스템은 양자 알고리즘과 하이브리드 양자-고전 연구를 가속하기 위해 540개 GPU를 포함합니다. 이 시스템들은 Fujitsu와의 계획된 FugakuNEXT 협력을 위한 프록시 플랫폼으로 작동하며 2026년 봄에 운영될 예정입니다. FugakuNEXT는 2030년까지 작동을 목표로 하며 이전의 CPU 기반 시스템에 비해 100배 더 높은 응용 성능을 지향하는 것으로 설명됩니다.
NVIDIA (NVDA) et RIKEN ont annoncé deux nouveaux supercalculateurs accélérés par GPU pour l'IA destinée à la science et au calcul quantique, déployant un ensemble combiné de 2 140 GPU NVIDIA Blackwell sur les plateformes GB200 NVL4 avec le réseau NVIDIA Quantum-X800 InfiniBand. Un système comprendra 1 600 GPU pour les sciences de la vie, les matériaux, le climat, la fabrication et l'automatisation des laboratoires; l'autre comprendra 540 GPU pour accélérer les algorithmes quantiques et la recherche hybride quantique-classique. Les systèmes serviront de plateformes proxy pour la collaboration FugakuNEXT prévue avec Fujitsu et devraient être opérationnels au printemps 2026. FugakuNEXT vise une mise en service d'ici 2030 et est décrit comme visant à 100x une meilleure performance d'application par rapport aux systèmes CPU antérieurs.
NVIDIA (NVDA) und RIKEN haben zwei neue GPU-beschleunigte Supercomputer für KI in der Wissenschaft und Quantencomputing angekündigt, die eine Gesamtzahl von 2.140 NVIDIA Blackwell GPUs auf den GB200 NVL4-Plattformen mit NVIDIA Quantum-X800 InfiniBand-Netzwerk einsetzen. Ein System wird 1.600 GPUs für Lebenswissenschaften, Materialien, Klima, Fertigung und Laborautomatisierung enthalten; das andere wird 540 GPUs enthalten, um Quantenalgorithmen und hybride Quanten-Klassik-Forschung zu beschleunigen. Die Systeme dienen als Proxy-Plattformen für die geplante FugakuNEXT-Kooperation mit Fujitsu und sollen voraussichtlich im Frühjahr 2026 operativ sein. FugakuNEXT ist auf Betrieb bis 2030 ausgerichtet und wird als Ziel beschrieben, eine 100x höhere Anwendungsleistung im Vergleich zu früheren CPU-basierten Systemen zu erreichen.
NVIDIA (NVDA) وRIKEN أعلنتا عن جهازين فائقين جديدين معتمديْن على وحدات GPU للذكاء الاصطناعي العلمي والحوسبة الكمّية، مع نشر مجموعات 2,140 وحدة GPU من NVIDIA Blackwell على منصات GB200 NVL4 مع الشبكة NVIDIA Quantum-X800 InfiniBand. سيحتوي النظام الواحد على 1,600 وحدة GPU للعلوم الحيوية والمواد والمناخ والتصنيع وأتمتة المختبر؛ بينما سيحتوي النظام الآخر على 540 وحدة GPU لتسريع الخوارزميات الكمّية والبحوث الهجينة الكمّية-الكلاسيكية. ستعمل الأنظمة كمنصات وسيطة لـ FugakuNEXT المخطط لها بالتعاون مع Fujitsu ومن المتوقع تشغيلها في ربيع 2026. FugakuNEXT موجهة للتشغيل بحلول 2030 وتوصف بأنها تهدف إلى تحقيق 100x أداء تطبيقات أعلى مقارنة بأنظمة CPU السابقة.
- 2,140 NVIDIA Blackwell GPUs deployed
- First system: 1,600 GPUs for AI for science
- Second system: 540 GPUs for quantum research
- Both systems operational target: spring 2026
- FugakuNEXT target: 2030 with an expected 100x application performance claim
- FugakuNEXT benefits deferred until a 2030 target launch
Insights
RIKEN’s dual NVIDIA GB200 systems materially strengthen Japan’s domestic AI-for-science and quantum compute infrastructure.
Deploying a combined 2,140 NVIDIA Blackwell GPUs across two GB200 NVL4 systems creates a hardened platform for unified AI, HPC and quantum-classical workflows. The use of NVIDIA Quantum-X800 InfiniBand networking, CUDA-X libraries and floating-point emulation software indicates an environment designed to run both large-scale AI models and traditional scientific codes on GPU-accelerated hardware.
Key dependencies and risks rest on integration and software readiness: researchers must port codes to GPU-optimized stacks and validate physics/chemistry workloads with the new emulation layers. Watch the operational milestone in
This partnership reinforces sovereign compute capacity and provides proxied platforms for FugakuNEXT codesign work.
The two systems serve both immediate research workloads and as proxy machines for the Fujitsu–NVIDIA FugakuNEXT effort, linking MONAKA-X CPU plans with NVIDIA NVLink Fusion and GPU acceleration. That arrangement creates a practical pipeline for co-designing software and hardware, reducing risks in later FugakuNEXT deployment and allowing earlier validation of hybrid quantum-classical algorithms on 540-GPU and 1,600-GPU systems.
Dependencies include effective NVLink Fusion pairing with FUJITSU-MONAKA-X CPUs and successful application-level scaling; both are monitorable by testing results and published performance metrics ahead of FugakuNEXT. Track reported application performance on scientific kernels and any publicized integration benchmarks between now and
NVIDIA GB200 and NVIDIA Quantum-X800 InfiniBand Networking Boost Japan’s Research in Life Sciences, Materials Science, Climate and Weather Forecasting, Manufacturing, Laboratory Automation and Quantum Applications
News Summary:
- Two new RIKEN supercomputers for scientific AI and quantum computing, powered by NVIDIA GB200 systems, will position Japan as a driving force behind AI for science, next-generation industrial research and quantum computing.
- RIKEN’s AI and quantum systems will feature a total of 2,140 NVIDIA Blackwell GPUs, supporting Japan’s sovereign AI strategy and expanding secure domestic infrastructure for leadership in science, industry and technology.
ST. LOUIS, Nov. 17, 2025 (GLOBE NEWSWIRE) -- SC25—NVIDIA today announced that RIKEN, Japan’s leading national research institute, is integrating NVIDIA GB200 NVL4 systems with two new supercomputers in Japan — one built for AI for science and the other for quantum computing.
The first system will deploy 1,600 NVIDIA Blackwell GPUs, using the GB200 NVL4 platform and interconnected by NVIDIA Quantum-X800 InfiniBand networking, as part of RIKEN’s AI for science initiative. The system will advance research in areas such as life sciences, materials science, climate and weather forecasting, manufacturing and laboratory automations.
The second system, dedicated to quantum computing, will feature 540 NVIDIA Blackwell GPUs — also using the GB200 NVL4 platform and interconnected by NVIDIA Quantum-X800 InfiniBand networking — to accelerate research in quantum algorithms, hybrid simulation and quantum-classical computing methods.
“RIKEN has long been one of the world’s great scientific institutions, and today it stands at the forefront of a new era in computing,” said Ian Buck, vice president of hyperscale and high-performance computing (HPC) at NVIDIA. “Together, we’re helping Japan build the foundation for sovereign innovation that will drive breakthroughs to solve the world’s most complex scientific and industrial challenges.”
“Integrating the NVIDIA GB200 NVL4 accelerated computing platform with our next-generation supercomputers represents a pivotal advancement for Japan’s science infrastructure,” said Satoshi Matsuoka, director of the RIKEN Center for Computational Science. “Our partnership will create one of the world’s leading unified platforms for AI, quantum and high-performance computing, allowing researchers to unlock and accelerate discoveries in fields ranging from basic sciences to industrial applications for businesses and society.”
Expanding Partnership With RIKEN
The two new RIKEN systems follow the announcement in August that launched a collaboration between Fujitsu and NVIDIA to codesign a flagship supercomputer with the development code name FugakuNEXT, the successor to the world-renowned Fugaku supercomputer. The two new GPU-accelerated supercomputers will also be used as proxy machines — platforms for codesigning and developing various hardware, software and applications for FugakuNEXT.
The FugakuNEXT system is planned to feature FUJITSU-MONAKA-X CPUs, which can be paired with NVIDIA technologies using NVIDIA NVLink™ Fusion, new silicon enabling high-bandwidth connections between Fujitsu’s CPUs and NVIDIA’s architecture.
FugakuNEXT is expected to deliver 100x greater application performance compared with supercomputers based on CPUs or other existing systems — and will integrate production-level quantum computers in the future.
By combining MONAKA-X and NVIDIA’s latest GPUs, FugakuNEXT will help shape the future of scientific discovery through innovation in HPC, AI, quantum and their combinations.
This growing partnership with RIKEN reflects Japan’s commitment to innovation and NVIDIA’s support in bolstering the country’s computational infrastructure and capabilities in supercomputing and AI for science.
Supercomputing Software Unlocks Scientific Advancements
NVIDIA is already working with RIKEN to develop floating point emulation software that taps into NVIDIA Tensor Core GPU performance for accelerating traditional scientific computing. This technology will allow applications to harness the full power of GPUs for AI and HPC at RIKEN and supercomputing centers worldwide.
RIKEN also plans to use NVIDIA CUDA-X™ — which provides 400+ highly optimized GPU-accelerated libraries, microservices and tools — to boost its cutting-edge HPC applications with GPU platforms, helping advance AI for science and quantum computing initiatives in Japan.
The two new supercomputers will be operational in spring 2026, while FugakuNEXT is aimed for operation by 2030.
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NVIDIA Public Relations
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ashapiro@nvidia.com
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FAQ
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