Case Study: Lunit accelerates AI-powered cancer diagnostics with VAST Data

Pioneering AI-Powered Cancer Diagnostics with VAST Data Download PDF

Lunit, a leading medical AI company, faced significant challenges with their previous data infrastructure, which suffered from slow random read performance that severely bottlenecked their AI research at just 100 IOPS. Managing this outdated system was time-consuming, and frequent disk failures disrupted their crucial work in cancer diagnostics. They turned to the VAST Data Platform to overcome these limitations.

VAST Data provided a robust and scalable solution that eliminated Lunit's performance bottlenecks and minimized data management time with enterprise-grade features. The implementation delivered a 2.5:1 data reduction rate, cutting storage requirements by 60%, and enabled faster data processing to enhance their AI workloads. This allows Lunit to focus on their core mission, supported by an infrastructure that includes a 1.3 PB VAST cluster feeding data to their deep learning servers.

Lunit