Cerebras Systems Announces 130x Performance Improvement on Key Nuclear Energy Simulation over Nvidia A100 GPUs
Cerebras Systems , the pioneer in accelerating generative AI, today announced the achievement of a 130x speedup over Nvidia A100 GPUs on a key nuclear energy HPC simulation kernel, developed by researchers at Argonne National Laboratory.
- Cerebras Systems , the pioneer in accelerating generative AI, today announced the achievement of a 130x speedup over Nvidia A100 GPUs on a key nuclear energy HPC simulation kernel, developed by researchers at Argonne National Laboratory.
- This result demonstrates the performance and versatility of the Cerebras Wafer-Scale Engine (WSE-2) and ensures that the U.S. continues to be the global leader in supercomputing for energy and defense applications.
- This kernel represents the most computationally intensive portion of the full simulation, accounting for up to 85% of the total runtime for many nuclear energy applications.
- “These published results highlight not only the incredible performance of the CS-2, but also its architectural efficiency,” said Andrew Feldman, CEO and co-founder of Cerebras Systems.