Case Study: National Stock Exchange of India improves data processing with Persistent Systems' HPC solution

A Persistent Systems Case Study

Preview of the National Stock Exchange of India Case Study

Persistent Systems helps NSE EPR with workload management via managed services and HPC solution

The National Stock Exchange of India (NSE), a leading financial exchange, faced challenges in processing its CPU-intensive research workload. Its existing virtual machines lacked the computation capabilities and scalability to handle heavy data volumes cost-effectively. Persistent Systems was engaged to enhance the exchange's workload management.

Persistent Systems implemented a High-Performance Computing (HPC) solution using SLURM on the Google Cloud Platform. This provided automatic provisioning of virtual machines, leading to significant cost savings and faster data processing. The solution from Persistent Systems delivered enhanced performance and efficient workload management for NSE's risk calculations.


View this case study…

National Stock Exchange of India

Tirthankar Patnaik

Chief Economist


Persistent Systems

416 Case Studies