USC CARC Accelerates Research Workloads with VAST
See how USC CARC deployed VAST to simplify administration and power data-intensive AI research.
Higher Education & Research
Overview
The Center for Advanced Research Computing (CARC) at the University of Southern California provides advanced computational research support across campus. It serves as a multidisciplinary hub empowering faculty, grads, and staff with high-performance computing, AI execution, and data-intensive solutions.
Solutions
To eliminate legacy infrastructure silos and manage exploding data volumes, USC CARC deployed the VAST Data Platform. Consolidating onto a highly flexible 10PB system, the program established a scalable, unified data foundation to power its intensive AI and computational research.
Results
USC CARC dramatically simplified its day-to-day administration and future-proofed its operations. The program now leverages a highly flexible, multi-tenant environment supported by VAST's highly responsive and deeply collaborative co-pilot support model.
Additional resources you may find useful
View All Resources
IDC White Paper: High-Performance NFS Storage for HPC
This IDC White Paper examines how an NFS-based storage infrastructure provides optimal performance, efficiency, and usability for HPC and AI workloads. Learn why leading HPC IT organizations have adopted VAST’s scale-out all-flash NAS to eliminate the operational complexity associated with legacy parallel file systems and deliver unprecedented simplicity and scale for highly demanding workloads.

VAST Announces NPS Score of 84
We are thrilled to share our latest milestone: an industry-certified NPS of 84, an extraordinary achievement that places us among the most customer-loved companies worldwide.

Melius Research: VAST Data Could Win Big in Agentic AI
For infrastructure professionals, this paper provides essential insights into a solution designed for scalable, autonomous AI systems. Download now to explore its competitive edge and what it means for your infrastructure strategy.