NVIDIA GPUs Power HPC & AI Workloads in Cloud with Univa - insideHPC

In this video from the Univa Breakfast Briefing at ISC 2018, Duncan Poole from NVIDIA describes how the company is accelerating HPC in the Cloud. Today's groundbreaking scientific discoveries are taking place in HPC data centers. Using containers, researchers and scientists gain the flexibility to run HPC application containers on NVIDIA Volta-powered systems including Quadro-powered workstations, NVIDIA DGX Systems, and HPC clusters. The rise of AI workloads on GPU-enabled systems like RAIDEN in Japan introduces a corresponding and compelling demand for Univa Grid Engine. In the case of workload management for RAIDEN, Univa Grid Engine delivers combined support for GPUs and Docker containers – meaning that AIP Center researchers can run their Deep Learning applications within Docker containers that make abstracted use of'external' GPUs via device mappings (i.e., between a container and a physical host).