National Energy Technology Laboratory
Setting records in computational fluid dynamics
The U.S. Department of Energy’s National Energy Technology Laboratory focuses on applied research for the clean production and use of domestic energy resources. They partnered with Cerebras to help solve a large, sparse, structured system of linear equations that could be beneficial for weather forecasting, finding the best shape for an airplane’s wing, predicting temperatures and radiation levels in a nuclear power plant and more. Together we achieved performance with a CS-1 that was beyond what CPUs or GPUs could achieve and 200 times faster than the Joule supercomputer.
Testimonial
"This work at the intersection of supercomputing and AI will extend our understanding of fundamental scientific phenomena, including combustion and how to make combustion more efficient. Together, NETL and Cerebras are using innovative new computer architectures to further the NETL Mission and benefit the United States."
Dr. Brian J. Anderson
Director @ National Energy Technology Laboratory
National Energy Technology Laboratory and Cerebras
Cerebras Systems and National Energy Technology Laboratory Set New Milestones for High-Performance, Energy-Efficient Field Equation Modeling Using Simple Python Interface
THE WAFER-SCALE ENGINE FIELD EQUATION APPLICATION PROGRAMMING INTERFACE: HIGH-SPEED SOLUTIONS FOR NET-ZERO COMPUTING
NETL Research Enabling Critical Climate Modeling on Next-Generation Artificial Intelligence Computer System
