Data for Human Health
How AI optimizes massive genomic data pipelines at the edge to drive breakthroughs in healthcare.
Industry
Healthcare & Life Sciences
Use Case

Overview
Oxford Nanopore is a biotech leader specializing in real-time, long-read DNA and RNA sequencing. By measuring electrical current changes as molecules pass through microscopic protein pores, their scalable, portable devices allow anyone to analyze genomes anywhere, transforming global healthcare, oncology, and agriculture.
Solution
Oxford Nanopore uses the VAST AI OS to handle its massive sequencing data pipelines. VAST eliminates GPU starvation during deep learning training and provides the strict auditability and access control required for regulated healthcare and clinical environments.
Results
By pairing custom-coded AI models with VAST, Oxford Nanopore achieves non-stop deep learning by eliminating data bottlenecks and GPU starvation. This ensures smooth processing of 1 GB/s streams, provides enterprise-grade clinical auditability, and lowers computational costs.