The U.S. Department of Energy (DOE) and AMD are collaborating on two new AI supercomputers at Oak Ridge National Laboratory (ORNL) as part of a larger AI strategy to advance research in science, energy, and national security — and strengthen the nation’s position in high-performance computing.
The two machines represent about $1 billion in public and private investment. Once complete, they will form part of a secure national computing network designed to support AI research using standards-based infrastructure built in the US. The project reflects how a coordinated AI strategy can align national goals in innovation, energy efficiency, and data governance.
Dr Lisa Su, AMD’s chair and CEO, said the company is “proud and honoured to partner with the Department of Energy and Oak Ridge National Laboratory to accelerate America’s foundation for science and innovation.” She added that the systems “will leverage AMD’s high-performance and AI computing technologies to advance the most critical US research priorities in science, energy, and medicine.”
Lux AI: Training the next wave of AI models
Set to go live in early 2026, Lux AI will be the country’s first “AI Factory” — a facility built to train and deploy advanced AI models for science, energy, and security. The system is being developed with ORNL, AMD, Oracle Cloud Infrastructure, and Hewlett Packard Enterprise.
Lux will use AMD Instinct MI355X GPUs, EPYC CPUs, and Pensando networking to handle data-heavy AI tasks. It’s designed to speed up research in areas such as energy systems, materials, and medicine. The system’s architecture allows multiple groups to work together while keeping data secure and separate, a model that mirrors how many large organisations are starting to manage sensitive AI workloads.
Discovery: Strengthening America’s AI and supercomputing strategy
The Discovery system will follow in 2028 and become the DOE’s next flagship supercomputer at Oak Ridge. It will use AMD’s upcoming “Venice” EPYC processors and MI430X GPUs, which are part of a new series built for AI and scientific computing.
Discovery’s “Bandwidth Everywhere” design increases memory and network performance without using more power. This means it can process more data and run complex models efficiently while maintaining energy costs — a challenge many large data centres also face today.
The system builds on lessons from Frontier, the world’s first exascale computer, ensuring that existing applications can move easily to the new platform.
U.S. Energy Secretary Chris Wright said, “Winning the AI race requires new and creative partnerships that will bring together the brightest minds and industries American technology and science has to offer.” He said the new systems show “a commonsense approach to computing partnerships” that strengthen the country through shared innovation.
ORNL Director Stephen Streiffer said Discovery will “drive scientific innovation faster and…
Source link
Disclaimer
We strive to uphold the highest ethical standards in all of our reporting and coverage. We blogs.grocliq.com want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.
Website Upgradation is going on for any glitch kindly connect at [email protected]
