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How Starfish Storage delivers daily wins in data management to the University of Utah’s Scientific Computing and Imaging Institute

How Starfish Storage delivers daily wins in data management to the University of Utah’s Scientific Computing and Imaging Institute

by Staff | Sep 23, 2025 | Blog

The University of Utah’s Scientific Computing and Imaging Institute uses Starfish Storage every day to manage a massive research data set, resolve hidden data issues and migrate data without interrupting researchers.

Breaking File System Scanning Barriers at Scale: How Starfish and WEKA Deliver Record-Setting Metadata Performance

Breaking File System Scanning Barriers at Scale: How Starfish and WEKA Deliver Record-Setting Metadata Performance

by Staff | Sep 15, 2025 | Blog

Starfish and WEKA achieved a record-setting 903,668 LSTAT ops/sec, enabling full scans of 3+PB per hour with more records to come! This level of game-changing performance offers better data management for large scale environments, quicker anomaly detection, faster workflows, and better RPO’s.

Starfish Storage automates dozens of scientific instrument workflows for a leading research hospital

Starfish Storage automates dozens of scientific instrument workflows for a leading research hospital

by Staff | Sep 12, 2025 | Blog

When researcher time was being eroded by having to manually process dozens of instrument data workflows, Starfish Storage stepped in and set researchers free.

Data catalogs for unstructured data offer a new twist on an old theme

Data catalogs for unstructured data offer a new twist on an old theme

by Staff | May 29, 2025 | Media

Uncover the value buried in billions of files. Starfish’s unstructured data catalog unlocks AI readiness, eliminates storage blind spots, and empowers users across your enterprise. Discover how it works.

Inside the Chargeback System That Made Harvard’s Storage Sustainable

Inside the Chargeback System That Made Harvard’s Storage Sustainable

by Staff | May 5, 2025 | Media

By charging labs for storage use, Harvard’s Research Computing team slashed hoarding, optimized data management, and built a sustainable model without throttling science.

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