AMD, US Department of Energy Partner on $1 Billion AI Supercomputer Project
The US Department of Energy has partnered with AMD to develop two new supercomputers, Lux and Discovery, as part of a $1 billion initiative. The project aims to accelerate discovery and engineering innovation through the development of advanced artificial intelligence (AI) foundation models.
Lux, set to be completed in early 2026, is described as an "AI Factory" designed specifically for scientific research, energy, and national security applications. Its architecture is optimized for data-intensive and model-centric workloads, allowing for faster training and deployment of AI models.
In contrast, Discovery, scheduled for completion in 2029, boasts a "Bandwidth Everywhere" design that improves on the performance and energy efficiency of AMD's previous supercomputer, Frontier. This design enables more computing output at a similar cost, supporting research in areas such as energy, biology, advanced materials, national security, and manufacturing innovation.
The partnership with the US Department of Energy marks AMD's second major collaboration with the government on an AI-focused project. The company has previously worked with the US National Nuclear Security Administration to develop high-performance computing systems for scientific applications.
As AI continues to play an increasingly important role in driving technological advancements across various industries, partnerships like this one highlight the growing importance of investing in AI research and development.
The US Department of Energy has partnered with AMD to develop two new supercomputers, Lux and Discovery, as part of a $1 billion initiative. The project aims to accelerate discovery and engineering innovation through the development of advanced artificial intelligence (AI) foundation models.
Lux, set to be completed in early 2026, is described as an "AI Factory" designed specifically for scientific research, energy, and national security applications. Its architecture is optimized for data-intensive and model-centric workloads, allowing for faster training and deployment of AI models.
In contrast, Discovery, scheduled for completion in 2029, boasts a "Bandwidth Everywhere" design that improves on the performance and energy efficiency of AMD's previous supercomputer, Frontier. This design enables more computing output at a similar cost, supporting research in areas such as energy, biology, advanced materials, national security, and manufacturing innovation.
The partnership with the US Department of Energy marks AMD's second major collaboration with the government on an AI-focused project. The company has previously worked with the US National Nuclear Security Administration to develop high-performance computing systems for scientific applications.
As AI continues to play an increasingly important role in driving technological advancements across various industries, partnerships like this one highlight the growing importance of investing in AI research and development.