PLYMOUTH, Mass. August 5, 2019 – Microway, a leading provider of computational clusters, servers, and workstations for AI and HPC applications, announces it has provided a NVIDIA DGX-2 supercomputer to Clemson University.
The NVIDIA DGX-2 delivers industry-leading 2 petaFLOPS of AI deep learning performance. The system harnesses the power of 16 NVIDIA Tesla V100 GPUs, fully interconnected with the enhanced-bandwidth NVIDIA NVLink interface to boost the speed of deep learning training.
The system deploys with NVIDIA’s Deep Learning software—and was ready to train models immediately after installation. DGX-2’s NGC software stack was installed by Microway experts and supports all major AI frameworks as well as offers containers for a variety of HPC applications.
The easy-to-use DIGITS deep learning training system and interface available on DGX-2 helps users manage training data, design compare and select networks, and monitor performance—making the system an excellent, accessible educational tool.
Clemson University’s DGX-2 will empower researchers in disciplines such as computational math, statistics, operations research, and mechanical and industrial engineering to analyze vast datasets with exceptional ease. Initial projects include research on medical imaging, drone control, autonomous driving, and ocean dynamics. The resource will be available to all faculty, staff, and students. More information about Clemson’s work may be found, here.
Clemson University’s acquisition of the cutting-edge technology is funded by a grant from the Defense University Research Instrumentation Program in the Department of Defense’s Office of Naval Research.
Microway builds solutions for the intersection of AI and HPC. These include clusters, servers, quiet workstations designed for bleeding-edge computational performance—that serve demanding users in the enterprise, government, and academia.