Case Study: GlaxoSmithKline (GSK) achieves 75-100x faster R&D analytics with Kinetica

How GlaxoSmithKline Uses Kinetica to Manage Their R&D Information Platform

GSK, a science-led global healthcare company, had invested in a 125,000‑core GPU cluster for accelerated chemical simulations but found the platform underutilized because writing parallel GPU code and bespoke software limited additional use cases. To open the cluster to broader R&D analytics, machine learning, and fast-data workloads, GSK engaged Kinetica to enable easier access to GPU compute without specialized coding.

Kinetica delivered a GPU-accelerated database layer with SQL support and user-defined functions that lets GSK treat the GPU complex like a relational system, run models in-place, and avoid constant data movement. As a result, GSK now runs multi‑billion‑row queries and advanced analytics across their GPU farm with 75–100× faster response times, wider adoption of GPU resources across teams, and a scalable foundation for future streaming and real‑time initiatives.

GSK

Mark Ramsey

Senior Vice President & Research and Development Data