Case Study: Carnegie Mellon University accelerates neuro-behavioral research with Oracle Cloud Infrastructure

Carnegie Mellon uses machine learning on OCI to power neuro-behavioral research

Carnegie Mellon University needed a faster, more flexible way to process massive volumes of mouse behavior video and brain-activity data for neuro-behavioral research. Its on-premises supercomputing setup was slow to access, hard to customize, and could be delayed for days if a job failed, so the team turned to Oracle and Oracle Cloud Infrastructure (OCI) for a better fit.

Oracle implemented OCI with GPU instances and large block-volume storage, along with research support from Oracle for Research. The result was faster processing of about 3 TB of data per day, more customizable compute environments, and automation that helped remove unnecessary data from the raw signals. Oracle enabled Carnegie Mellon University to build a comprehensive neurobehavioral database that connects individual neurons and actions, strengthening future research into neurological diseases and cognition.

Carnegie Mellon University

Eric Yttri

Assistant Professor, Department of Biological Sciences