Case Study: The University of Pisa accelerates research and AI workloads with VAST Data

The University of Pisa Transforms Research with the VAST Data Platform

The University of Pisa, one of the oldest universities in Europe, faced the challenge of modernizing its distributed scientific computing infrastructure to keep pace with accelerating research demands, particularly in AI. Its legacy environment, with 12 petabytes of data managed by various vendors, could not easily provide the high-performance interconnect needed for data-hungry algorithms. The university selected the VAST Data Platform to consolidate and manage its growing dataset.

VAST Data provided a unified, scalable platform that was installed and production-ready in a single day. The solution delivered significant performance improvements, allowing researchers to fully utilize their NVIDIA DGX systems without waiting for data. The university's CTO highlighted the platform's performance, ease of use, and scalability as key benefits, noting that VAST Data has been transformative for research capabilities in life sciences and materials science.

The University of Pisa

Maurizio Davini

Chief Technology Officer