Argonne National Laboratory
In partnership with the National Institutes of Health and National Cancer Institute
At Argonne National Laboratory, researchers work to gain a deeper understanding of our planet, our climate, and the cosmos. However, when working with the NIH and NCI on drug discovery for cancer treatment, they ran into major challenges associated with scaling large AI models across a cluster of GPUs. ANL contacted us to explore how Cerebras Systems could accelerate their important work – ultimately reducing training time from weeks to hours.
Testimonial
"Cerebras allowed us to reduce the experiment turnaround time on our cancer prediction models by 300X, ultimately enabling us to explore questions that previously would have taken years, in mere months."
Rick Stevens
Associate Laboratory Director of Computing, Environment and Life Sciences @ Argonne National Laboratory
ANL and Cerebras
Argonne National Laboratory Brings Cerebras Computational Tools to the Forefront of Artificial Intelligence Research
Genomics in Unparalleled Resolution: Cerebras Wafer-Scale Cluster Trains Large Language Models on the Full COVID Genome Sequence
ACM Gordon Bell Special Prize for HPC-Based COVID-19 Research Awarded to Team for Modelling How Pandemic-Causing Viruses, Especially SARS-CoV-2, are Identified and Classified
Intelligent Resolution: Integrating Cryo-EM with AI-driven Multi-resolution Simulations to Observe the SARS-CoV-2 Replication-Transcription Machinery in Action
