Trusted by the world’s leading higher education & research institutions
View All Customers

VAST Data addresses the complex needs of research universities by providing a unified, scalable data platform that eliminates the inefficiencies of parallel file systems.

Overview

Unified Platform Transforms HPC and Research Data Management

VAST reduces operational complexities and enhances data governance, ensuring seamless multi-tenancy and robust security. The system's advanced architecture minimizes downtime and simplifies maintenance, even during upgrades. With its high-performance capabilities, VAST Data meets the demands of rapid data access and processing, optimizing resource utilization and compliance across both enterprise and HPC environments, ultimately leading to significant budget savings and improved operational efficiency.

images
Success Stories

Don’t take our word for it.

View All
Key Benefits

Transform Your Research Data with VAST

Experience the benefits of a cutting-edge data infrastructure designed to meet the unique needs of R1 universities. We help you achieve unprecedented scalability, security, and performance, driving your research forward with confidence.

Secure Multi-Tenancy and Robust Security

Experience the advantages of an advanced data infrastructure tailored to the specific requirements of R1 universities. VAST enables you to achieve unparalleled scalability, security, and performance, empowering your research initiatives.

Continuous Operation and High Availability

The VAST Data Platform ensures 99.9999% uptime, providing continuous and reliable operations during system upgrades or unexpected failures sustaining critical computational workflows and data analysis tasks without interruption.

Exceptional Performance for Diverse Workloads

VAST delivers exceptional performance across all IO patterns through its Disaggregated Shared Everything (DASE) architecture, handling varying HPC and research workloads, from large datasets with sequential IO operations to numerous small files with random IO patterns.

Eliminating Data Redundancy

VAST’s pooled compute groups reduce redundant data copying in multi-disciplinary HPC environments by enabling simultaneous data access and HPC performance for all workloads.

Unified Data Governance

Centrally manage, monitor, and govern diverse data assets by streamlining data governance with a unified framework and the VAST Data Catalog for efficient metadata querying.

Maximizing Resource Efficiency

VAST helps achieve higher peak bandwidth and resource efficiency by consolidating the characteristics of high-capacity and high-performance systems into a single data platform, maximizing system performance.

Secure Multi-Tenancy and Robust Security

Experience the advantages of an advanced data infrastructure tailored to the specific requirements of R1 universities. VAST enables you to achieve unparalleled scalability, security, and performance, empowering your research initiatives.

Continuous Operation and High Availability

The VAST Data Platform ensures 99.9999% uptime, providing continuous and reliable operations during system upgrades or unexpected failures sustaining critical computational workflows and data analysis tasks without interruption.

Exceptional Performance for Diverse Workloads

VAST delivers exceptional performance across all IO patterns through its Disaggregated Shared Everything (DASE) architecture, handling varying HPC and research workloads, from large datasets with sequential IO operations to numerous small files with random IO patterns.

Eliminating Data Redundancy

VAST’s pooled compute groups reduce redundant data copying in multi-disciplinary HPC environments by enabling simultaneous data access and HPC performance for all workloads.

Unified Data Governance

Centrally manage, monitor, and govern diverse data assets by streamlining data governance with a unified framework and the VAST Data Catalog for efficient metadata querying.

Maximizing Resource Efficiency

VAST helps achieve higher peak bandwidth and resource efficiency by consolidating the characteristics of high-capacity and high-performance systems into a single data platform, maximizing system performance.