High-performance computing at universities has long been the backbone of enabling breakthroughs in chemistry, biology, physics, engineering, and computer science. As researchers begin to tackle large datasets and mixed workloads, it requires hardware and software resources that can efficiently scale to current applications as well as the suite of ever-evolving software.
Download this whitepaper to learn how the NVIDIA® DGX POD™ for Research (Research POD) reference architecture helps university IT-HPC centers lower the cost of computing infrastructure by utilizing a single fused architecture supporting accelerated HPC applications.