Case Study: University of Liverpool accelerates small molecule discovery with PEAK:AIO

PEAK:AIO’s affordability drives AI in Research & Education

The University of Liverpool required immense compute power for a research project to map the chemical space of small molecules. With a grant-driven budget, the challenge was to avoid compromising on storage performance, as traditional solutions were too slow and would significantly delay their progress. They chose PEAK:AIO for its ability to deliver ultra-high performance at an affordable price point.

PEAK:AIO's solution dramatically accelerated the university's research capabilities. The implementation resulted in a 40-fold increase in molecule analysis and a 10 to 30-fold speedup in machine learning workflows. This boosted the discovery rate of small molecules from 150,000 to over 6 million, leading to a peer-reviewed publication and recognition in an NVIDIA case study.

University of Liverpool

Douglas Kell

Professor