Today’s groundbreaking scientific discoveries are taking place in high performance computing (HPC) data centers. However, installing and upgrading HPC applications on those shared systems comes with a set of unique challenges. Challenges that decrease accessibility, limit users to old features, and ultimately lower productivity.
The HPC application containers available on NVIDIA GPU Cloud (NGC) drastically improve ease of application deployment, while delivering optimized performance. NGC gives researchers and scientists the flexibility to run HPC application containers on NVIDIA Pascal™ and NVIDIA Volta-powered systems including Quadro-powered workstations, NVIDIA DGX™ Systems, and HPC clusters.
Containers from NVIDIA GPU Cloud have automated application deployment, making users self-sufficient while allowing us to focus on other critical priorities. With the adoption of NGC, we’re able to help researchers with real problems.
– Ashwin Srinath, Research Facilitator, Clemson University IT Department
Our cluster environment by necessity does not get updated fast enough to keep up with the requirements of the deep learning workflows. We made a significant investment in NVIDIA GPUs, and the NGC containers leverage that investment.
– Chris Reidy, Principal HPC System Admin, University of Arizona