HPC Visualization Containers

VISUALIZE YOUR SCIENCE

Visualization is an integral part of scientific computing and data analysis workflows. Interactively viewing the entire dataset in high fidelity accelerates the discovery process. However, installing visualization tools on a multi-tenant system is challenging.

NVIDIA GPU Cloud (NGC) offers high performance computing (HPC) visualization containers that eliminate the need for cumbersome installations. Simply pull the latest visualization containers from NGC, and run it on NVIDIA Pascal™ and NVIDIA Volta-powered Quadro workstations or NVIDIA DGX™ systems for interactive real-time visualization and high-quality visuals.

HPC VISUALIZATION CONTAINERS AVAILABLE ON NGC TODAY

NVIDIA GPU Cloud HPC Technical overview

NVIDIA GPU Cloud HPC Infographic

Clemson University Success Story

Run NVIDIA GPU Cloud Containers in Singularity

THREE REASONS WHY

Delivering Real-time Visualization in ParaView
Surface rendering is a time consuming and an iterative process while volume rendering is extremely slow on a CPU system. The HPC visualization containers are optimized to run ParaView on NVIDIA GPUs so that users can seamlessly take advantage of NVIDIA IndeX volume visualization and NVIDIA Optix ray tracing libraries to render scientific data in real-time. NVIDIA HPC visualization containers bundle these technologies with ParaView so that the user can simply pull and run the containers for enhanced ParaView performance on GPUs.
Deploying Visualization Tools
Containers eliminate the need to install applications on a system, giving users more freedom to run their visualization jobs on different systems. Users can now pull the HPC visualization containers from NGC and run ParaView, NVIDIA IndeX, NVIDIA Optix, and NVIDIA Holodeck on Pascal and Volta GPU-powered workstations, HPC clusters, NVIDIA DGX Systems, and in the cloud. This means that the users no longer have to rely on the system administrators to install the visualization tools.
Driving Low Latency Remote Visualization
Remote visualization allows users to simulate and visualize their data on a remote system while the rendered frames are sent back for visual analysis. However, the data between frames is 90% identical, which creates a network bottleneck. NVEnc only sends unidentical data between frames which reduces network traffic, lowers latency, and provides faster results.

HPC Visualization Containers

VISUALIZE YOUR SCIENCE

HPC VISUALIZATION CONTAINERS AVAILABLE ON NGC TODAY

THREE REASONS WHY

Delivering Real-time Visualization in ParaView

Deploying Visualization Tools

Driving Low Latency Remote Visualization

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