Purdue University

DDN Chosen by Supercomputer Provider to Accelerate Research Discoveries​

Empowering Innovation: Purdue’s Data-Intensive Research Landscape

Purdue University Rosen Center for Advanced Computing is at the forefront of data-intensive research, providing support in fields such as aerospace, agriculture, life science, and semiconductors. Since 2005, Purdue has relied on upwards of 50 petabytes of DDN’s data platform to facilitate complex endeavors such as advancements in nanotechnology and groundbreaking atomic catalyst discoveries.​

Recently, Purdue established the Purdue Computes Initiative, which aims to grow GPU utilization across campus in response to a rapidly increasing student interest in computing and artificial intelligence (AI) related fields. Amongst this growing interest, particularly in AI, Purdue recognized the importance of maintaining a capable data environment both in capacity and transfer speed. To ensure their students’ and faculty’s success in paving the way for the future of AI, Purdue turned to DDN to architect a data platform upgrade for their Gilbreth cluster.​

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

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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.​

Preston SmithExecutive Director​, Purdue Rosen Center for Advanced Computing