The medical imaging researchers at the Martinos Center must continuously find new ways to leverage AI algorithms to analyze the raw, uncompressed data generated by their imaging systems. But with hundreds of subjects and thousands of scans every year, they struggled to affordably capture and store enormous volumes of raw image data, while still enabling fast data access to hundreds of researchers’ AI initiatives.
The Martinos center was looking for a simple and scalable all-flash storage system to accelerate AI deep-learning workloads across multi-petabytes of image data.

