In a significant move to advance American science and innovation, the United States Department of Energy (DOE) has unveiled plans to introduce the Doudna supercomputer, set to revolutionize high-performance computing. This flagship system, named after Nobel laureate Jennifer Doudna, aims to combine cutting-edge computational power with groundbreaking biological research.
Slated for deployment in 2026 at the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory, the Doudna supercomputer represents a significant leap forward in computing capabilities and AI integration. This next-generation system is poised to redefine possibilities across various scientific disciplines, from climate science and fusion energy to quantum computing and artificial intelligence.
With over ten times the performance of its predecessor, Perlmutter, the Doudna supercomputer is expected to deliver unmatched computational power. Developed in collaboration with Dell Technologies and powered by NVIDIA’s advanced Vera Rubin platform, the system is designed to accelerate scientific discovery by enabling researchers to conduct more complex simulations and analyses in significantly less time.
The architecture of the Doudna supercomputer, featuring Dell’s liquid-cooled server infrastructure and NVIDIA accelerators, is optimized to support the DOE’s most demanding computational workloads. By integrating simulation, data analysis, and AI within a cohesive environment, Doudna promises to drive multidisciplinary scientific advancements.
Designed to adapt to evolving research needs, Doudna’s infrastructure combines Dell Integrated Rack Scalable Systems with PowerEdge servers and NVIDIA accelerators. The system’s high-speed data movement capabilities, facilitated by the NVIDIA Quantum-X800 InfiniBand network, ensure seamless communication across its multitude of compute nodes.
One of the standout features of the Doudna supercomputer is its capacity to support AI-driven science on a large scale. Researchers will be able to integrate machine learning models into simulation workflows, enhancing accuracy and reducing computation time across various fields such as materials discovery, climate modeling, and biomolecular design.
Moreover, Doudna will play a crucial role in advancing quantum computing research, offering tools like NVIDIA’s CUDA-Q platform to develop and simulate quantum algorithms. This initiative aims to support the co-design of future hybrid quantum-HPC systems, positioning Doudna as a testbed for scalable quantum innovation.
By collaborating with the Energy Sciences Network (ESnet), Doudna will facilitate real-time data streaming for researchers across the US, allowing immediate data analysis and enhancing responsiveness to new scientific insights. This integration is expected to empower breakthroughs in fusion energy research by providing computational capabilities to simulate complex plasma physics and reactor designs.
The launch of the Doudna supercomputer signifies a significant milestone in the development of US scientific infrastructure. By harnessing the expertise of Dell Technologies, NVIDIA, and the DOE, this next-generation computing platform is poised to drive transformative discoveries in various scientific domains, enabling researchers to achieve breakthroughs with enhanced speed and precision.
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