Latest news with #TimCosta
The Market Online
20-05-2025
- Business
- The Market Online
NVIDIA tests AI's limits with new quantum supercomputer
NVIDIA (NASDAQ:NVDA) on Monday marked the opening of the Global Research and Development Center for Business by Quantum-AI Technology, featuring ABCI-Q, the world's largest supercomputer dedicated to quantum computing research ACBI-Q is powered by 2,020 NVIDIA GPUs, as well as supporting hosting and development platforms NVIDIA is the world leader in accelerated computing NVIDIA stock has added 43.06 per cent year-over-year and 1,401.61 per cent since 2020 NVIDIA (NASDAQ:NVDA) on Monday marked the opening of the Global Research and Development Center for Business by Quantum-AI Technology (G-QuAT), featuring ABCI-Q, the world's largest supercomputer dedicated to quantum computing research. According to Monday's news release, ABCI-Q's unmatched scale will help to prove out quantum processors' 'promise to augment AI supercomputers in solving some of the world's most complex challenges, spanning industries including healthcare, energy and finance.' Japan's National Institute of Advanced Industrial Science and Technology (AIST) built ABCI-Q using 2,020 NVIDIA H100 GPUs, which are connected through the tech leader's Quantum-2 InfiniBand cloud networking platform and integrated with CUDA-Q, its open-source programming platform for massive-scale quantum computing applications. The supercomputer also features a superconducting qubit processor by Fujitsu, a neutral atom quantum processor by QuEra and a photonic processor by OptQC. NVIDIA grew revenue by 4.8 times from US$26.9 billon in fiscal 2022 to US$130.4 billion in fiscal 2025, while growing net income by more than 7 times from US$9.75 billion to US$72.8 billion, respectively. The company expects a quarterly jump in revenue in Q1 fiscal 2026. Leadership insights 'Seamlessly coupling quantum hardware with AI supercomputing will accelerate realizing the promise of quantum computing for all,' Tim Costa, senior director of computer-aided engineering, quantum and CUDA-X at NVIDIA, said 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 will enable researchers in Japan to explore the core challenges quantum computing technologies face and speed the path to practical use-cases,' added 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.' About NVIDIA NVIDIA is the world leader in accelerated computing. NVIDIA stock (NASDAQ:NVDA) last traded at US$135.60. The stock has added 43.06 per cent year-over-year and 1,401.61 per cent since 2020. Join the discussion: Find out what everybody's saying about this AI technology stock on the NVIDIA Corp. Bullboard and check out the rest of Stockhouse's stock forums and message boards. The material provided in this article is for information only and should not be treated as investment advice. For full disclaimer information, please click here.
Yahoo
19-05-2025
- Business
- Yahoo
NVIDIA Powers World's Largest Quantum Research Supercomputer
AIST's ABCI-Q Supercomputer Equips Researchers to Realize the Potential of Quantum Computing AIST 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 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 NVIDIANVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing. For further information, contact:Alex ShapiroNVIDIA Public Relations1-415-608-5044ashapiro@ 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
Forbes
05-05-2025
- Business
- Forbes
Nvidia Builds An AI Superhighway To Practical Quantum Computing
At the GTC 2025 conference, Nvidia announced its plans for a new, Boston-based Nvidia Accelerated Quantum Research Center or NVAQC, designed to integrate quantum hardware with AI supercomputers. Expected to begin operations later this year, it will focus on accelerating the transition from experimental to practical quantum computing. 'We view this as a long-term opportunity,' says Tim Costa, Senior Director of Computer-Aided Engineering, Quantum and CUDA-X at Nvidia. 'Our vision is that there will come a time when adding a quantum computing element into the complex heterogeneous supercomputers that we already have would allow those systems to solve important problems that can't be solved today.' Quantum computing, like AI (i.e., deep learning) a decade ago, is yet another emerging technology with an exceptional affinity with Nvidia's core product, the GPU. It is another milestone in Nvidia's successful ride on top of the technological shift re-engineering the computer industry, the massive move from serial data processing (executing instructions one at a time, in a specific order) to parallel data processing (executing multiple operations simultaneously). Over the last twenty years, says Costa, there were several applications where 'the world was sure it was serial and not parallel, and it didn't fit GPUs. And then, a few years later, rethinking the algorithms has allowed it to move on to GPUs.' Nvidia's ability to 'diversify' from its early focus on graphics processing (initially to speed up the rendering of three-dimensional video games) is due to the development in the mid-2000s of its software, the Compute Unified Device Architecture or CUDA. This parallel processing programming language allows developers to leverage the power of GPUs for general-purpose computing. The key to CUDA's rapid adoption by developers and users of a wide variety of scientific and commercial applications was a decision by CEO Jensen Huang to apply CUDA to the entire range of Nvidia's GPUs, not just the high-end ones, thus ensuring its popularity. This decision—and the required investment—caused Nvidia's gross margin to fall from 45.6% in the 2008 fiscal year to 35.4% in the 2010 fiscal year. 'We were convinced that accelerated computing would solve problems that normal computers couldn't. We had to make that sacrifice. I had a deep belief in [CUDA's] potential,' Huang told Tae Kim, author of the recently published The Nvidia Way. This belief continues to drive Nvidia's search for opportunities where 'we can do lots of work at once,' says Costa. 'Accelerated computing is synonymous with massively parallel computing. We think accelerated computing will ultimately become the default mode of computing and accelerate all industries. That is the CUDA-X strategy.' Costa has been working on this strategy for the last six years, introducing the CUDA software to new areas of science and engineering. This has included quantum computing, helping developers of quantum computers and their users simulate quantum algorithms. Now, Nvidia is investing further in applying its AI mastery to quantum computing. Nvidia became one of the world's most valuable companies because the performance of the artificial neural networks at the heart of today's AI depends on the parallelism of the hardware they are running on, specifically the GPU's ability to process many linear algebra multiplications simultaneously. Similarly, the basic units of information in quantum computing, qubits, interact with other qubits, allowing for many different calculations to run simultaneously. Combining quantum computing and AI promises to improve AI processes and practices and, at the same time, escalate the development of practical applications of quantum computing. The focus of the new Boston research center is on 'using AI to make quantum computers more useful and more capable,' says Costa. 'Today's quantum computers are fifty to a hundred qubits. It's generally accepted now that truly useful quantum computing will come with a million qubits or more that are error corrected down to tens to hundreds of thousands of error-free or logical qubits. That process of error correction is a big compute problem that has to be done in real time. We believe that the methods that will make that successful at scale will be AI methods.' Quantum computing is a delicate process, subject to interference from 'noise' in its environment, resulting in at least one failure in every thousand operations. Increasing the number of qubits introduces more opportunities for errors. When Google announced Willow last December, it called it 'the first quantum processor where error-corrected qubits get exponentially better as they get bigger.' Its error correction software includes AI methods such as machine learning, reinforcement learning, and graph-based algorithms, helping identify and correct errors accurately, 'the key element to unlocking large-scale quantum applications,' according to Google. 'Everyone in the quantum industry realizes that the name of the game in the next five years will be quantum error correction,' says Doug Finke, Chief Content Officer at Global Quantum Intelligence. 'The hottest job in quantum these days is probably a quantum error correction scientist, because it's a very complicated thing.' The fleeting nature of qubits—they 'stay alive' for about 300 microseconds—requires speedy decisions and very complex math. A ratio of 1,000 physical qubits to one logical qubit would result in many possible errors. AI could help find out 'what are the more common errors and what are the most common ways of reacting to it,' says Finke. Researchers from the Harvard Quantum Initiative in Science and Engineering and the Engineering Quantum Systems group at MIT will test and refine these error correction AI models at the NVAQC. Other collaborators include quantum startups Quantinuum, Quantum Machines, and QuEra Computing. They will be joined by Nvidia's quantum error correction research team and Nvidia's most advanced supercomputer. 'Later this year, we will have the center ready, and we'll be training AI models and testing them on integrated devices,' says Costa.
Yahoo
21-03-2025
- Business
- Yahoo
Pasqal Integrates With NVIDIA's CUDA-Q to Expand Access to Hybrid Quantum Computing
Pasqal said Thursday it has integrated its neutral-atom quantum computing systems with CUDA-Q, an open-source platform developed by NVIDIA (NVDA, Financials), to accelerate the development of hybrid quantum-classical computing. Warning! GuruFocus has detected 3 Warning Signs with NVDA. According to Pasqal, the move lets users mix central processing units, graphics processing units, and quantum computing units within a single programming environment. CUDA-Q gives developers instruments to design hybrid quantum applications for high-performance computing to Pasqal, the cooperation increases the capabilities of its cloud platform and provides customers with access to new processes on its QPUs. This integration is meant to let the larger scientific and technical community create more effective quantum news coincides with Pasqal's involvement in the NVIDIA Inception program for entrepreneurs. Pasqal will mix CUDA-Q with Pulser, an open-source programming tool of their own. With granular control over programmable QPU settings, the library is meant to help developers construct experiments for particular neutral-atom business claims that CUDA-Q enhances Pulser by including Python and C++ interfaces, therefore simplifying the modeling of quantum applications and extending them across many computer platforms and so complementing to Pasqal Chief Executive Officer Loic Henriet, the integration with NVIDIA will provide the artificial intelligence and high-performance computing communities a more easily available interface for creating quantum research in the sector depends on CUDA-Q allowing integration between artificial intelligence supercomputers and quantum systems like Pasqal's, according to NVIDIA Senior Director Tim Costa. This article first appeared on GuruFocus. Sign in to access your portfolio
Bloomberg
20-03-2025
- Science
- Bloomberg
Nvidia on How Supercomputing Is Helping Drive Quantum
Tim Costa, Senior Director of quantum computing at Nvidia, says the first area to be disrupted by quantum is problem solving in chemistry and biochemistry. He joins Ed Ludlow on a special edition of 'Bloomberg Technology' from GTC. (Source: Bloomberg)
