Case Study: NCSA achieves faster HPC performance and simpler data management with VAST Data

A VAST Data Case Study

Preview of the The National Center for Supercomputing Applications Case Study

Enhancing Performance and Driving Groundbreaking Research

The National Center for Supercomputing Applications (NCSA) required a modern data platform to manage its complex, 60-petabyte storage environment and meet the high I/O demands of its academic and industry researchers. Their challenge was to simplify operations and improve performance for read-heavy home and software directories while supporting the expansion of GPU-heavy AI research.

NCSA chose the VAST Data Platform for its read-optimized architecture and data reduction capabilities. The implementation resulted in drastically faster performance, with module load times dropping from nine seconds to 2.5 seconds. VAST's solution also delivered a 3.5:1 data reduction ratio, allowing for larger user quotas, and streamlined operations by consolidating infrastructure.


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The National Center for Supercomputing Applications

J.D. Maloney

Lead HPC Storage Engineer


VAST Data

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