Case Study: a life sciences company accelerates AI drug discovery with MinIO AIStor

Life Sciences Company powers AI with MinIO across 20PB and 2.2M experiments per week

A life sciences company faced significant scalability, performance, and cost challenges with its previous network-attached storage system. Their AI-driven drug discovery process, which generated terabytes of data daily from millions of weekly experiments, was hindered by high cloud egress costs and an inability to seamlessly manage data across their hybrid cloud infrastructure. They selected MinIO's AIStor platform to build a high-performance data lakehouse that could economically scale to dozens of petabytes.

By implementing MinIO AIStor, the company achieved petabyte-scale performance with reduced latency and lower costs. The solution's S3 compatibility enabled seamless data access across on-premises HPC clusters and public cloud environments, improving the efficiency of their machine learning pipelines. This resulted in the successful management of over 20PB of data and supported the analysis of 2.2 million experiments per week, ultimately accelerating their research and drug discovery efforts.