Challenges

Purdue faced a significant challenge in managing the escalating volume and diversity of data being processed and accessed on their Gautschi cluster.
Maintaining maximum data transfer efficiency and IOPS performance was of primary concern to ensure that, as data libraries increase in size and quantity, students and faculty can perform operations and iterate at the speed of innovation.
Solution

Gautschi is an NVIDIA H100 SuperPOD used for modeling simulation + AI workloads

3 DDN EXAScaler ES400NVX2-SE nodes

Powering 9 PB raw QLC flash capacity
Benefits

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Increased bandwidth by 2.9x
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5.4x the IOPS (Input/Output Operations Per Second) of any other Purdue System
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Technology that is fully integrated with the biomedical research
This investment in resources will ensure that Purdue faculty have access to cutting-edge resources to ensure their competitiveness, and they can focus on scientific outcomes instead of technology problems.![]()