Latest news with #supercomputers
Telegraph
19-05-2025
- Business
- Telegraph
Former GCHQ chief joins Oxford quantum start-up amid race against China
The former head of GCHQ has joined the board of an Oxford quantum computing start-up as Britain vies with China and the US for an edge developing the cutting-edge supercomputers. Oxford Quantum Circuits (OQC) has appointed Sir Jeremy Fleming, who led the spy agency until 2023, as a director. The start-up has raised more than £100m to build a fleet of advanced quantum computers, some of which are already being tested by customers. Its plans pit it against US technology giants including Google and IBM, which are working on their own quantum machines, and China, where Beijing is directing efforts to develop its own version of the technology. Quantum computing aims to exploit the properties of quantum physics to develop machines that are far superior to current, classical supercomputers. So far, these computers have had only limited use cases and are prone to errors, but there are hopes they could help revolutionise scientific study, finance and drug discovery. The technology is also the subject of national security scrutiny, given these computers could in theory be used to crack the world's most advanced encryption algorithms, presenting a hacking threat if used by a hostile state. Sir Jeremy was appointed to lead GCHQ, the UK's signals intelligence agency, in 2017, heading up the organisation for six years. He previously worked at MI5 on counter-terrorism and led its security efforts for the London Olympics. His appointment shows the keen interest the national security establishment has taken in the development of quantum technology. Gerald Mullaly, interim chief executive of OQC, said: 'We are absolutely delighted that Sir Jeremy is joining our board. It reinforces the absolute significance of quantum computing to national security and defence, not only in terms of our focus on those sectors, but also for the UK and the country's economic resilience.' The UK has pledged to spend £2.5bn developing quantum computing by 2033, although this is eclipsed by the estimated £11bn that China has confirmed it is spending on the technology. The US innovation agency Darpa, meanwhile, has said it plans to spend $1bn acquiring a quantum computer over the next decade. There are fears in the industry that UK funding for the nascent technology could come under pressure from Rachel Reeves's upcoming spending review. OQC has built and operates several quantum computers, including the only quantum computer in the UK in a data centre. Mr Mullaly said he believed the company would have a quantum computer by 2028 that could run millions of quantum operations at once and far surpass the capabilities of any traditional supercomputer on the planet. Crucial applications could include cyber defence, with a quantum computer able to spot tiny anomalies that traditional computer systems would miss. The computers could also be used for fraud detection, helping banks better block billions of pounds in false transactions.
Associated Press
19-05-2025
- Business
- Associated Press
NVIDIA Launches AI-First DGX Personal Computing Systems With Global Computer Makers
TAIPEI, Taiwan, May 18, 2025 (GLOBE NEWSWIRE) -- COMPUTEX -- NVIDIA today announced that Taiwan's leading system manufacturers are set to build NVIDIA DGX Spark and DGX Station™ systems. Growing partnerships with Acer, GIGABYTE and MSI will extend the availability of DGX Spark and DGX Station personal AI supercomputers — empowering a global ecosystem of developers, data scientists and researchers with unprecedented performance and efficiency. Enterprises, software providers, government agencies, startups and research institutions need robust systems that can deliver the performance and capabilities of an AI server in a desktop form factor without compromising data size, proprietary model privacy or the speed of scalability. The rise of agentic AI systems capable of autonomous decision-making and task execution amplifies these demands. Powered by the NVIDIA Grace Blackwell platform, DGX Spark and DGX Station will enable developers to prototype, fine-tune and inference models from the desktop to the data center. 'AI has revolutionized every layer of the computing stack — from silicon to software,' said Jensen Huang, founder and CEO of NVIDIA. 'Direct descendants of the DGX-1 system that ignited the AI revolution, DGX Spark and DGX Station are created from the ground up to power the next generation of AI research and development.' DGX Spark Fuels Innovation DGX Spark is equipped with the NVIDIA GB10 Grace Blackwell Superchip and fifth-generation Tensor Cores. It delivers up to 1 petaflop of AI compute and 128GB of unified memory, and enables seamless exporting of models to NVIDIA DGX™ Cloud or any accelerated cloud or data center infrastructure. Delivering powerful performance and capabilities in a compact package, DGX Spark lets developers, researchers, data scientists and students push the boundaries of generative AI and accelerate workloads across industries. DGX Station Advances AI Innovation Built for the most demanding AI workloads, DGX Station features the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, which offers up to 20 petaflops of AI performance and 784GB of unified system memory. The system also includes the NVIDIA ConnectX®-8 SuperNIC, supporting networking speeds of up to 800Gb/s for high-speed connectivity and multi-station scaling. DGX Station can serve as an individual desktop for one user running advanced AI models using local data, or as an on-demand, centralized compute node for multiple users. The system supports NVIDIA Multi-Instance GPU technology to partition into as many as seven instances — each with its own high-bandwidth memory, cache and compute cores — serving as a personal cloud for data science and AI development teams. To give developers a familiar user experience, DGX Spark and DGX Station mirror the software architecture that powers industrial-strength AI factories. Both systems use the NVIDIA DGX operating system, preconfigured with the latest NVIDIA AI software stack, and include access to NVIDIA NIM™ microservices and NVIDIA Blueprints. Developers can use common tools, such as PyTorch, Jupyter and Ollama, to prototype, fine-tune and perform inference on DGX Spark and seamlessly deploy to DGX Cloud or any accelerated data center or cloud infrastructure. Dell Technologies is among the first global system builders to develop DGX Spark and DGX Station — helping address the rising enterprise demand for powerful, localized AI computing solutions. 'There's a clear shift among consumers and enterprises to prioritize systems that can handle the next generation of intelligent workloads,' said Michael Dell, chairman and CEO of Dell Technologies. 'The interest in NVIDIA DGX Spark and NVIDIA DGX Station signals a new era of desktop computing, unlocking the full potential of local AI performance. Our portfolio is designed to meet these needs. Dell Pro Max with GB10 and Dell Pro Max with NVIDIA GB300 give organizations the infrastructure to integrate and tackle large AI workloads.' HP Inc. is bolstering the future of AI computing by offering these new solutions that enable businesses to unlock the full potential of AI performance. 'Through our collaboration with NVIDIA, we are delivering a new set of AI-powered devices and experiences to further advance HP's future-of-work ambitions to enable business growth and professional fulfillment,' said Enrique Lores, president and CEO of HP Inc. 'With the HP ZGX, we are redefining desktop computing — bringing data-center-class AI performance to developers and researchers to iterate and simulate faster, unlocking new opportunities.' Expanded Availability and Partner Ecosystem DGX Spark will be available from Acer, ASUS, Dell Technologies, GIGABYTE, HP, Lenovo and MSI, as well as global channel partners, starting in July. Reservations for DGX Spark are now open on and through NVIDIA partners. DGX Station is expected to be available from ASUS, Dell Technologies, GIGABYTE, HP and MSI later this year. Watch the COMPUTEX keynote from Huang and learn more at NVIDIA GTC Taipei. About NVIDIA NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing. For further information, contact: Pearlina Boc NVIDIA Corporation +1-562-275-5781 [email protected] Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance and availability of NVIDIA's products, services; NVIDIA's collaborations with third parties and the benefits and impact thereof; third parties using or adopting our products and technologies, the benefits and impact thereof; and DGX Spark and DGX Station powering the next generation of AI research and development 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, ConnectX, DGX, DGX Station and NVIDIA NIM 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
Yahoo
18-05-2025
- Business
- Yahoo
Wistron says new US plants will be ready for Nvidia's server production next year
By Wen-Yee Lee TAIPEI (Reuters) -Taiwanese electronics manufacturer Wistron said on Friday that its new U.S. manufacturing facilities for its customer Nvidia would be ready next year and the firm was in talks with potential other customers. Part of the facilities will be used by Nvidia to support its plan to build artificial intelligence servers worth up to $500 billion in the U.S. over the next four years. The U.S. firm said in April it planned to build supercomputer manufacturing plants in Texas, partnering with Foxconn in Houston and Wistron in Dallas. Both sites are expected to increase production within 12 to 15 months. "I believe it's exactly in line with what the customer announced. All our progress will follow the customer's lead,' Wistron CEO Jeff Lin said in his first public comments since Nvidia's announcement. He said the company was in discussion with other customers to use the U.S. facilities, which will produce high-performance computing and AI-related products, declining to disclose their names. Wistron's board approved a total investment of $500 million in its new U.S. subsidiary to support business development and strategic growth in the U.S. Commenting on U.S. restrictions on exports of advanced chips to China, Lin said demand outside of China remained very strong. "We expect to grow alongside our customers ... As for developments in the Middle East, most of them are essentially our indirect customers." The United Arab Emirates and the U.S. signed an agreement this week for the Gulf country to build the largest AI campus outside the U.S., in a deal that according to sources could involve purchase of 500,000 of Nvidia's most advanced AI chips per year starting in 2025. As the U.S. threatens sweeping tariffs on many of its trading partners, Wistron said it would also consider producing notebooks in Mexico, noting that such products would not face tariffs under the United States-Mexico-Canada trade agreement.
Yahoo
16-05-2025
- Business
- Yahoo
Wistron says new US plants will be ready for Nvidia's server production next year
By Wen-Yee Lee TAIPEI (Reuters) -Taiwanese electronics manufacturer Wistron said on Friday that its new U.S. manufacturing facilities for its customer Nvidia would be ready next year and the firm was in talks with potential other customers. Part of the facilities will be used by Nvidia to support its plan to build artificial intelligence servers worth up to $500 billion in the U.S. over the next four years. The U.S. firm said in April it planned to build supercomputer manufacturing plants in Texas, partnering with Foxconn in Houston and Wistron in Dallas. Both sites are expected to increase production within 12 to 15 months. "I believe it's exactly in line with what the customer announced. All our progress will follow the customer's lead,' Wistron CEO Jeff Lin said in his first public comments since Nvidia's announcement. He said the company was in discussion with other customers to use the U.S. facilities, which will produce high-performance computing and AI-related products, declining to disclose their names. Wistron's board approved a total investment of $500 million in its new U.S. subsidiary to support business development and strategic growth in the U.S. Commenting on U.S. restrictions on exports of advanced chips to China, Lin said demand outside of China remained very strong. "We expect to grow alongside our customers ... As for developments in the Middle East, most of them are essentially our indirect customers." The United Arab Emirates and the U.S. signed an agreement this week for the Gulf country to build the largest AI campus outside the U.S., in a deal that according to sources could involve purchase of 500,000 of Nvidia's most advanced AI chips per year starting in 2025. As the U.S. threatens sweeping tariffs on many of its trading partners, Wistron said it would also consider producing notebooks in Mexico, noting that such products would not face tariffs under the United States-Mexico-Canada trade agreement. Sign in to access your portfolio
