Taiwan's New AI Supercomputer to Boost Research in Quantum Computing and Climate Science

NVIDIA-Powered Supercomputer to Enable Quantum Leap for Taiwan Research

Built by ASUS, the National Center for High-Performance Computing's new AI supercomputer will support climate science, quantum research and the development of large language models. Researchers across Taiwan are tackling complex challenges in AI development, climate science and quantum computing. Their work will soon be boosted by a new supercomputer at Taiwan's National Center for High-Performance Computing that's set to deliver over 8x more AI performance than the center's earlier Taiwania 2 system. The AI supercomputer at NCHC is slated to feature NVIDIA HGX H200 systems with over 1,700 GPUs, two NVIDIA GB200 NVL72 rack-scale systems and an NVIDIA HGX B300 system built on the NVIDIA Blackwell Ultra platform -- interconnected by NVIDIA Quantum InfiniBand networking. Announced today at COMPUTEX, it's expected to go live later this year. NCHC also plans to deploy a set of NVIDIA DGX Spark personal AI supercomputers and a cluster of NVIDIA HGX systems in the cloud. Researchers from academic institutions, government agencies and small businesses in Taiwan will be able to apply for access to the new system to accelerate innovative projects. "The new NCHC supercomputer will drive breakthroughs in sovereign AI, quantum computing and advanced scientific computation," said Chau-Lyan Chang, director general of NCHC. "It's designed to empower Taiwan's technological autonomy, fostering cross-domain collaboration and global AI leadership." The new supercomputer will support projects like Taiwan AI RAP, a generative AI application development platform. Taiwan AI RAP aims to support the rapid development of AI products by offering startups, researchers and enterprises access to customized models that reflect local cultural and linguistic nuances. Among the platform's offerings are models created by Taiwan's Trustworthy AI Dialogue Engine, or TAIDE -- a public sector initiative to build Taiwanese large language models (LLMs) for tasks including natural language processing, intelligent customer service and translation. Collaborators providing text, images, audio and video data for the initiative include local governments, news organizations and public departments such as the Ministry of Education and Ministry of Culture. To support the creation of sovereign AI applications, TAIDE currently offers developers access to a collection of Llama3.1-TAIDE foundation models. The team is building additional sovereign AI LLM services using NVIDIA Nemotron models. A professor at National Tainan University is using the TAIDE model to power a conversational AI robot that speaks Taiwanese and English with elementary and middle school students. It's been used by over 2,000 students, teachers and parents to date. Another professor tapped the model to generate high-quality educational materials, shortening lesson preparation time for teachers. In healthcare, research teams in Taiwan used the TAIDE model to develop an AI chatbot with retrieval-augmented generation that helps case managers deliver timely, accurate medical information to patients with major injuries and illnesses. And the Epidemic Prevention Center at Taiwan's Centers for Disease Control is training the model to generate news summaries to support the tracking and prevention of how diseases spread. In climate research, NCHC supports researchers using the NVIDIA Earth-2 platform to advance atmospheric science. These researchers are tapping Earth-2's CorrDiff AI model to sharpen the precision of coarse-resolution weather models, and DeepMind's GraphCast model in NVIDIA PhysicsNeMo for global weather forecasting. They're also adopting the NVIDIA NIM microservice for FourCastNet, an NVIDIA model that predicts global atmospheric dynamics of weather and climate variables, and using NVIDIA GPUs to accelerate the simulation of numerical weather prediction models. With the new supercomputer, the researchers will be able to run more complex simulations and accelerate the pace of AI training and inference. NCHC researchers are also advancing quantum research using the NVIDIA CUDA-Q platform and NVIDIA cuQuantum library targeting applications in quantum machine learning, chemistry, finance, cryptography and more. The research institute has developed Quantum Molecular Generator, a tool that generates valid chemical molecules, using quantum circuits and the CUDA-Q platform. It's also created cuTN-QSVM, an open-source tool built on the cuQuantum library that accelerates large-scale quantum circuit simulations. The tool enables researchers to tackle more complex problems, offering linear scalability and supporting hybrid quantum computing systems to help accelerate the development of large-scale quantum algorithms. NCHC researchers recently used cuTN-QSVM to perform a record-breaking 784-qubit simulation for a quantum machine learning algorithm. The institute also plans to build a hybrid quantum-accelerated computing system by integrating NVIDIA DGX Quantum systems. Learn more about Taiwan's National Center for High-Performance Computing at NVIDIA GTC Taipei, taking place May 21-22.

NVIDIA Grows Quantum Computing Ecosystem With Taiwan Manufacturers and Supercomputing

Silicon developers, including Compal, Quanta and Taiwan's National Center for High-Performance Computing accelerate quantum computing research with NVIDIA AI supercomputing hardware. Quantum computing promises to shorten the path to solving some of the world's biggest computational challenges, from scaling in-silico drug design to optimizing otherwise impossibly complex, large-scale logistics problems. Integrating quantum hardware into state-of-the-art AI supercomputers -- forming accelerated quantum supercomputers -- helps speed the scaling of today's quantum processors into helpful devices for solving these complex challenges. At the COMPUTEX trade show, NVIDIA underscored how its work with partners across the Taiwan supercomputing ecosystem is advancing quantum computing toward accelerated quantum supercomputers. Leading hardware developers are working with NVIDIA to equip quantum researchers with tools to make significant contributions in the field. Atlantic Quantum, the University of Edinburgh,, the University of Oxford, Quantum Circuits Inc., QuEra Computing and Yale University anticipate receiving NVIDIA Grace Hopper Superchips from Supermicro to explore and refine the intersections between AI supercomputing and quantum computing. Compal announced its CGA-QX platform, built using the NVIDIA CUDA-Q platform, to accelerate the simulation of quantum optimization problems. The platform has been adopted by the Taiwanese National Science and Technology Council and made available to researchers from universities across Taiwan. Quanta has employed NVIDIA CUDA-Q to experiment with physical quantum hardware, using the platform's state vector simulations to verify and validate existing quantum processors. This allows Quanta to understand the details of noise in its systems and assess how well they work for use cases of interest. NVIDIA is also working with supercomputing centers to advance accelerated quantum supercomputing. Taiwan's National Center for High-Performance Computing (NCHC) announced a new supercomputer for quantum research. Built by ASUS, the AI supercomputer at NCHC will feature NVIDIA HGX H200 systems with over 1,700 GPUs, two NVIDIA GB200 NVL72 rack-scale systems and an NVIDIA HGX B300 system built on the next-generation NVIDIA Blackwell Ultra platform -- interconnected by NVIDIA Quantum InfiniBand networking. Announced today at COMPUTEX, it's expected to go live later this year. NCHC is enabling over 20 companies working in quantum computing -- collaborating under what's known as the National Quantum Team. NVIDIA CUDA-Q is being used at the center to explore quantum solutions for applications ranging from machine learning to chemistry. In Japan, AIST's ABCI-Q -- the world's most powerful supercomputer dedicated to quantum workloads -- integrates an NVIDIA supercomputer with more than 2,000 NVIDIA H100 GPUs with quantum processors from Fujitsu, QuEra Computing and OptQC. Increased availability of these quantum-AI platforms is poised to accelerate the breakthroughs researchers can make in quantum computing -- including developing new error correcting codes, integrating quantum processors within AI supercomputing and simulating low noise designs of quantum hardware.

NVIDIA Powers World's Largest Quantum Research Supercomputer

COMPUTEX -- NVIDIA today announced the opening of the Global Research and Development Center for Business by Quantum-AI Technology (G-QuAT), which hosts ABCI-Q -- the world's largest research supercomputer dedicated to quantum computing. Quantum processors promise to augment AI supercomputers in solving some of the world's most complex challenges, spanning industries including healthcare, energy and finance. By enabling quantum-GPU computing at an unprecedented scale, ABCI-Q marks a profound leap toward realizing practical, accelerated quantum systems. Delivered by Japan's National Institute of Advanced Industrial Science and Technology (AIST), the ABCI-Q supercomputer features 2,020 NVIDIA H100 GPUs interconnected by the NVIDIA Quantum-2 InfiniBand networking platform. The system is integrated with NVIDIA CUDA-Q™, an open-source hybrid computing platform for orchestrating the hardware and software needed to run useful, massive-scale quantum computing applications. "Seamlessly coupling quantum hardware with AI supercomputing will accelerate realizing the promise of quantum computing for all," said Tim Costa, senior director of computer-aided engineering, quantum and CUDA-X™ at NVIDIA. "NVIDIA's collaboration with AIST will catalyze progress in areas like quantum error correction and applications development -- crucial for building useful, accelerated quantum supercomputers." ABCI-Q's AI supercomputing is integrated with a superconducting qubit processor by Fujitsu, a neutral atom quantum processor by QuEra and a photonic processor by OptQC -- enabling hybrid quantum-GPU workloads across multiple qubit modalities. "ABCI-Q will enable researchers in Japan to explore the core challenges quantum computing technologies face and speed the path to practical use cases," said Masahiro Horibe, deputy director of G-QuAT and AIST. "The NVIDIA accelerated computing platform in ABCI-Q will empower scientists to experiment with the stepping-stone systems needed to advance quantum computing."

Nvidia powers world's largest quantum research supercomputer

Nvidia announced the opening of the Global Research and Development Center for Business by Quantum-AI Technology (G-QuAT), which hosts ABCI-Q -- the world's largest research supercomputer dedicated to quantum computing. Quantum processors promise to augment AI supercomputers in solving some of the world's most complex challenges, spanning industries including healthcare, energy and finance. By enabling quantum-GPU computing at an unprecedented scale, ABCI-Q marks a profound leap toward realizing practical, accelerated quantum systems, Nvidia said. Delivered by Japan's National Institute of Advanced Industrial Science and Technology (AIST), the ABCI-Q supercomputer features 2,020 Nvidia H100 graphics processing units (GPUs) interconnected by the Nvidia Quantum-2 InfiniBand networking platform. The system is integrated with Nvidia CUDA-Q, an open-source hybrid computing platform for orchestrating the hardware and software needed to run useful, massive-scale quantum computing applications. "Seamlessly coupling quantum hardware with AI supercomputing will accelerate realizing the promise of quantum computing for all," said Tim Costa, senior director of computer-aided engineering, quantum and CUDA-X™ at Nvidia, in a statement. "Nvidia's collaboration with AIST will catalyze progress in areas like quantum error correction and applications development -- crucial for building useful, accelerated quantum supercomputers." ABCI-Q's AI supercomputing is integrated with a superconducting qubit processor by Fujitsu, a neutral atom quantum processor by QuEra and a photonic processor by OptQC -- enabling hybrid quantum-GPU workloads across multiple qubit modalities. "ABCI-Q will enable researchers in Japan to explore the core challenges quantum computing technologies face and speed the path to practical use cases," said Masahiro Horibe, deputy director of G-QuAT and AIST. "The Nvidia accelerated computing platform in ABCI-Q will empower scientists to experiment with the stepping-stone systems needed to advance quantum computing."

Nvidia-powered supercomputer to enable quantum leap for Taiwan's research

Researchers across Taiwan are tackling complex challenges in AI development, climate science and quantum computing. Their work will soon be boosted by a new supercomputer at Taiwan's National Center for High-Performance Computing that's set to deliver over eight times more AI performance than the center's earlier Taiwania 2 system, Nvidia CEO Jensen Huang announced in a keynote at Computex 2025 in Taipei today. The AI supercomputer at NCHC is slated to feature Nvidia HGX H200 systems with over 1,700 GPUs, two Nvidia GB200 NVL72 rack-scale systems and an Nvidia HGX B300 system built on the Nvidia Blackwell Ultra platform -- interconnected by Nvidia Quantum InfiniBand networking. Announced today at Computex, it's expected to go live later this year. NCHC also plans to deploy a set of Nvidia DGX Spark personal AI supercomputers and a cluster of NVIDIA HGX systems in the cloud. Researchers from academic institutions, government agencies and small businesses in Taiwan will be able to apply for access to the new system to accelerate innovative projects. "The new NCHC supercomputer will drive breakthroughs in sovereign AI, quantum computing and advanced scientific computation," said Chau-Lyan Chang, director general of NCHC, in a statement. "It's designed to empower Taiwan's technological autonomy, fostering cross-domain collaboration and global AI leadership." Developing local language models for Sovereign AI The new supercomputer will support projects like Taiwan AI RAP, a generative AI application development platform. Taiwan AI RAP aims to support the rapid development of AI products by offering startups, researchers and enterprises access to customized models that reflect local cultural and linguistic nuances. Among the platform's offerings are models created by Taiwan's Trustworthy AI Dialogue Engine, or TAIDE -- a public sector initiative to build Taiwanese large language models (LLMs) for tasks including natural language processing, intelligent customer service and translation. Collaborators providing text, images, audio and video data for the initiative include local governments, news organizations and public departments such as the Ministry of Education and Ministry of Culture. To support the creation of sovereign AI applications, TAIDE currently offers developers access to a collection of Llama3.1-TAIDE foundation models. The team is building additional sovereign AI LLM services using NVIDIA Nemotron models. A professor at National Tainan University is using the TAIDE model to power a conversational AI robot that speaks Taiwanese and English with elementary and middle school students. It's been used by over 2,000 students, teachers and parents to date. Another professor tapped the model to generate high-quality educational materials, shortening lesson preparation time for teachers. In healthcare, research teams in Taiwan used the TAIDE model to develop an AI chatbot with retrieval-augmented generation that helps case managers deliver timely, accurate medical information to patients with major injuries and illnesses. And the Epidemic Prevention Center at Taiwan's Centers for Disease Control is training the model to generate news summaries to support the tracking and prevention of how diseases spread. Speeding scientific research in climate and beyond In climate research, NCHC supports researchers using the Nvidia Earth-2 platform to advance atmospheric science. These researchers are tapping Earth-2's CorrDiff AI model to sharpen the precision of coarse-resolution weather models, and DeepMind's GraphCast model in Nvidia PhysicsNeMo for global weather forecasting. They're also adopting the Nvidia NIM microservice for FourCastNet, an Nvidia model that predicts global atmospheric dynamics of weather and climate variables, and using Nvidia GPUs to accelerate the simulation of numerical weather prediction models. With the new supercomputer, the researchers will be able to run more complex simulations and accelerate the pace of AI training and inference. Advancing quantum innovation NCHC researchers are also advancing quantum research using the Nvidia CUDA-Q platform and Nvidia cuQuantum library targeting applications in quantum machine learning, chemistry, finance, cryptography and more. The research institute has developed Quantum Molecular Generator, a tool that generates valid chemical molecules, using quantum circuits and the CUDA-Q platform. It's also created cuTN-QSVM, an open-source tool built on the cuQuantum library that accelerates large-scale quantum circuit simulations. The tool enables researchers to tackle more complex problems, offering linear scalability and supporting hybrid quantum computing systems to help accelerate the development of large-scale quantum algorithms. NCHC researchers recently used cuTN-QSVM to perform a record-breaking 784-qubit simulation for a quantum machine learning algorithm. The institute also plans to build a hybrid quantum-accelerated computing system by integrating Nvidia DGX Quantum systems.

Jensen Huang Flips Back on Quantum | AIM

NVIDIA announced plans to invest in Taiwan's tech infrastructure, announcing an AI supercomputer in the country. At Computex 2025 in Taipei, NVIDIA delved into its stronghold on the AI and quantum computing capabilities, mentioning not only existing and upgraded solutions but also partnerships that will be essential to merge the hardware and software chain. In his keynote, CEO Jensen Huang introduced the NVLink Fusion system, designed to enhance chip-to-chip communication and facilitate the development and deployment of AI tools. This technology integrates third-party CPUs and AI chips into NVIDIA's server platforms, shifting from its traditional full-stack AI solutions. In addition to hardware advancements, NVIDIA announced plans to invest in Taiwan's tech infrastructure, announcing an AI supercomputer in the country. These developments underscore the giant's commitment to fostering global AI infrastructure, with Huang calling it an industry worth 'Trillions of Dollars'. The company is actively intensifying its efforts in quantum computing and AI integration. It is reportedly in advanced talks to invest in PsiQuantum, a US-based startup aiming to build a fault-tolerant quantum computer using photonic qubits and standard semiconductor manufacturing processes. The deal would support PsiQuantum's $750 million funding round and mark NVIDIA's deeper push into quantum computing despite Huang's earlier scepticism regarding the future of quantum. This move aligns with NVIDIA's broader strategy to bridge quantum computing and AI, as demonstrated by its recent collaborations and infrastructure developments. In Taiwan, NVIDIA is collaborating with local manufacturers and the National Centre for High-Performance Computing (NCHC) to advance quantum research. A new AI supercomputer, built by ASUS, will feature over 1,700 NVIDIA GPUs, including the latest Blackwell Ultra systems, interconnected with NVIDIA Quantum InfiniBand networking. This cutting-edge infrastructure supports projects in climate science, quantum research, and large language model (LLM) development. A key focus is the development of sovereign AI applications. The system will power platforms like Taiwan AI RAP, enabling the rapid creation of culturally relevant AI tools. One flagship effort, the Trustworthy AI Dialogue Engine (TAIDE), is building Taiwanese LLMs for natural language processing, translation, and customer service, which is already impacting sectors like education and healthcare. For climate research, the NCHC is using NVIDIA's Earth-2 platform and AI models such as CorrDiff and GraphCast (Google DeepMind) to enhance weather forecasting and climate simulations. The supercomputer's power will significantly accelerate training and inference workloads in this domain. On the quantum front, researchers are using NVIDIA's CUDA-Q and cuQuantum to drive breakthroughs. Projects like the Quantum Molecular Generator and cuTN-QSVM have enabled simulations with up to 784 qubits, pushing the limits of hybrid quantum-classical computing. Cadence Design Systems recently unveiled the Millennium M2000 supercomputer, powered by NVIDIA's Blackwell GPUs. The company claims the system delivers up to 80 times higher performance and 20 times greater energy efficiency than previous CPU-based platforms, significantly reducing simulation times across industries. The M2000 integrates NVIDIA HGX B200 systems and RTX PRO 6000 Server Edition GPUs with Cadence's computational software and CUDA-X libraries, enabling complex simulations such as electronic design automation, system design, and molecular modelling. Notably, engineers can now complete chip-level power integrity simulations in a single day, compared to the two weeks needed with traditional CPU clusters. NVIDIA plans to utilise 10 M2000 units to aid in developing next-generation chips and AI data-centre infrastructure. In parallel, Foxconn, in collaboration with NVIDIA and the Taiwanese government, is constructing an AI factory supercomputer equipped with 10,000 NVIDIA Blackwell GPUs. Managed by Foxconn's subsidiary, Big Innovation Company, this facility aims to provide AI cloud computing resources to researchers and enterprises, accelerating AI development across sectors. The Taiwan National Science and Technology Council will invest in this supercomputer to support AI development and adoption across industries. TSMC plans to leverage this infrastructure to enhance its research and development capabilities. Beyond Taiwan, NVIDIA is advancing global initiatives to integrate quantum computing with AI. In Japan, the ABCI-Q supercomputer, developed by the National Institute of Advanced Industrial Science and Technology (AIST), is a significant step in this direction. ABCI-Q is powered by over 2,000 NVIDIA H100 Tensor Core GPUs across over 500 nodes, interconnected via NVIDIA Quantum-2 InfiniBand. This infrastructure supports high-fidelity quantum simulations and is integrated with NVIDIA's open-source CUDA-Q platform, facilitating hybrid quantum-classical computing. ABCI-Q also incorporates diverse quantum processors, including Fujitsu's superconducting qubit processor, QuEra Computing's neutral atom quantum processor, and OptQC's photonic processor. This integration enables hybrid quantum-GPU workloads across multiple qubit modalities, accelerating research in quantum error correction and application development. In addition to quantum advancements, NVIDIA is expanding its hardware portfolio by introducing the Grace CPU C1. This single-socket, high-performance server platform is optimised for edge, telco, storage, and cloud deployments and delivers up to twice the energy efficiency of traditional CPUs. The Grace CPU C1 is gaining traction among leading manufacturers, including Foxconn, Jabil, Lanner, MiTAC Computing, Supermicro, and Quanta Cloud Technology, which are developing systems that leverage its capabilities. Not just this, Foxconn, in collaboration with NVIDIA, is also advancing innovative hospital solutions to address the global nursing shortage. Their Nurabot, a collaborative nursing robot, assists with tasks like transporting medication, reducing nurses' workload by up to 30%. Utilising NVIDIA's AI and digital twin technologies, Foxconn is transforming healthcare delivery in Taiwan. Strategic investments and collaborations underscore the company's commitment to advancing quantum computing and AI. By developing robust infrastructure and supporting research initiatives, NVIDIA aims to accelerate breakthroughs in various scientific and industrial domains.

NVIDIA Powers World's Largest Quantum Research Supercomputer - NVIDIA (NASDAQ:NVDA)

TAIPEI, Taiwan, May 19, 2025 (GLOBE NEWSWIRE) -- COMPUTEX -- NVIDIA today announced the opening of the Global Research and Development Center for Business by Quantum-AI Technology (G-QuAT), which hosts ABCI-Q -- the world's largest research supercomputer dedicated to quantum computing. Quantum processors promise to augment AI supercomputers in solving some of the world's most complex challenges, spanning industries including healthcare, energy and finance. By enabling quantum-GPU computing at an unprecedented scale, ABCI-Q marks a profound leap toward realizing practical, accelerated quantum systems. Delivered by Japan's National Institute of Advanced Industrial Science and Technology (AIST), the ABCI-Q supercomputer features 2,020 NVIDIA H100 GPUs interconnected by the NVIDIA Quantum-2 InfiniBand networking platform. The system is integrated with NVIDIA CUDA-Q™, an open-source hybrid computing platform for orchestrating the hardware and software needed to run useful, massive-scale quantum computing applications. "Seamlessly coupling quantum hardware with AI supercomputing will accelerate realizing the promise of quantum computing for all," said Tim Costa, senior director of computer-aided engineering, quantum and CUDA-X™ at NVIDIA. "NVIDIA's collaboration with AIST will catalyze progress in areas like quantum error correction and applications development -- crucial for building useful, accelerated quantum supercomputers." ABCI-Q's AI supercomputing is integrated with a superconducting qubit processor by Fujitsu, a neutral atom quantum processor by QuEra and a photonic processor by OptQC -- enabling hybrid quantum-GPU workloads across multiple qubit modalities. "ABCI-Q will enable researchers in Japan to explore the core challenges quantum computing technologies face and speed the path to practical use cases," said Masahiro Horibe, deputy director of G-QuAT and AIST. "The NVIDIA accelerated computing platform in ABCI-Q will empower scientists to experiment with the stepping-stone systems needed to advance quantum computing." Watch the COMPUTEX keynote from NVIDIA founder and CEO Jensen Huang, and learn more at NVIDIA GTC Taipei. About NVIDIA NVIDIA NVDA is the world leader in accelerated computing. For further information, contact: Alex Shapiro NVIDIA Public Relations 1-415-608-5044 [email protected] Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, availability, and performance of NVIDIA's products, services, and technologies; NVIDIA's collaborations with third parties and the impact and benefits thereof; ABCI-Q enabling researchers in Japan to explore the core challenges quantum computing technologies face and speed the path to practical use cases; the NVIDIA accelerated computing platform in ABCI-Q empowering scientists to experiment with the stepping-stone systems needed to advance quantum computing are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the "safe harbor" created by those sections and that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances. © 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, CUDA-Q and CUDA-X are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice. A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/222a8e38-128b-40ab-b90a-be59593eb585 NVDANVIDIA Corp$132.10-2.02%Stock Score Locked: Want to See it? 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NVIDIA Powers World's Largest Quantum Research Supercomputer

TAIPEI, Taiwan, May 19, 2025 (GLOBE NEWSWIRE) -- COMPUTEX -- NVIDIA today announced the opening of the Global Research and Development Center for Business by Quantum-AI Technology (G-QuAT), which hosts ABCI-Q -- the world's largest research supercomputer dedicated to quantum computing. Quantum processors promise to augment AI supercomputers in solving some of the world's most complex challenges, spanning industries including healthcare, energy and finance. By enabling quantum-GPU computing at an unprecedented scale, ABCI-Q marks a profound leap toward realizing practical, accelerated quantum systems. Delivered by Japan's (AIST), the ABCI-Q supercomputer features 2,020 H100 GPUs interconnected by the Quantum-2 InfiniBand networking platform. The system is integrated with CUDA-Q™, an open-source hybrid computing platform for orchestrating the hardware and software needed to run useful, massive-scale quantum computing applications. "Seamlessly coupling quantum hardware with AI supercomputing will accelerate realizing the promise of quantum computing for all," said , senior director of computer-aided engineering, quantum and CUDA-X™ at . "NVIDIA's collaboration with AIST will catalyze progress in areas like quantum error correction and applications development -- crucial for building useful, accelerated quantum supercomputers." ABCI-Q's AI supercomputing is integrated with a superconducting qubit processor by Fujitsu, a neutral atom quantum processor by QuEra and a photonic processor by OptQC -- enabling hybrid quantum-GPU workloads across multiple qubit modalities. "ABCI-Q will enable researchers in to explore the core challenges quantum computing technologies face and speed the path to practical use cases," said , deputy director of G-QuAT and AIST. "The accelerated computing platform in ABCI-Q will empower scientists to experiment with the stepping-stone systems needed to advance quantum computing." Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, availability, and performance of NVIDIA's products, services, and technologies; NVIDIA's collaborations with third parties and the impact and benefits thereof; ABCI-Q enabling researchers in to explore the core challenges quantum computing technologies face and speed the path to practical use cases; the accelerated computing platform in ABCI-Q empowering scientists to experiment with the stepping-stone systems needed to advance quantum computing are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the "safe harbor" created by those sections and that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports files with the , or , including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the are posted on the company's website and are available from without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, disclaims any obligation to update these forward-looking statements to reflect future events or circumstances. © 2025 . All rights reserved. , the logo, CUDA-Q and CUDA-X are trademarks and/or registered trademarks of in the and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice. A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/222a8e38-128b-40ab-b90a-be59593eb585