Case Study: Leading international private bank achieves high-performance, real-time trading and risk modeling with GridGain

International Bank Counts on HPC and Fast Data with GridGain®

A leading international private bank—ranked among the world’s top 15 by assets under management and a top 10 private banking firm—needed to replace an outdated, custom data‑processing system with a High Performance Computing (HPC) solution to run intensive financial computations (risk models, predictive analytics and real‑time trade analytics) across a large cluster (600+ CPU cores) where milliseconds of latency materially affect results.

The bank implemented the GridGain In‑Memory Data Fabric (built on Apache Ignite) to provide in‑memory caching, distributed computing and streaming. The solution delivered the required real‑time performance, reliability and horizontal scalability on commodity hardware, integrated smoothly, runs continuously (24/6), significantly improved computation speed and stability, and gave the bank a measurable competitive advantage for client trading and risk management.