Case Study: Technological Institute of Tijuana achieves 100x faster research with IBM Power Systems and IBM Cloud Private

Performing Top Social Science Research with Evolutionary Computation on IBM Power Systems

The Technological Institute of Tijuana needed more performance and scalability for machine learning and optimization research, including social science problems such as immigration-pattern analysis. Its existing x86 infrastructure could not handle the large data sets and computing demands, so it turned to IBM for a higher-performance solution using IBM Power Systems.

Working with IBM, the institute deployed IBM Cloud Private and Docker on IBM Power Systems S822LC for High Performance Computing, with NVIDIA GPUs to accelerate workloads. The result was more than 100x faster computational time, cutting processing from about 4 hours to 1–2 minutes, and scaling from 1,000–2,000 data points to over 1 million data points.

Technological Institute of Tijuana

Leonardo Trujillo

Research Professor