Scientific visualization is used in a variety of fields, including researchers in laboratories, creative artists in their studios, and engineers solving complex technical problems.
Analyze Data Faster With Accelerated Visualization
The best way to experience high-performance computing (HPC) simulations is through visualization. NVIDIA-accelerated scientific visualization speeds up data analysis and scientific outreach by enabling researchers to visualize their large datasets at interactive speeds and better collaborate across globally spread teams.
Who Uses Scientific Visualization?
Researchers
Researchers are using scientific visualization to gather insights from large-scale HPC datasets to visualize protein folding, analyze chemical docking, understand supernovae, and more.
Engineers
Engineers are using scientific visualization to analyze their designs for various use cases, including robotics, manufacturing systems, and structural engineering.
Creative Artists
Creative artists are converting scientific data into realistic-looking visuals, so researchers and lay audiences can better understand the science behind their art.
Accelerate Your Scientific Visualization Workloads
NVIDIA offers a variety of visualization software—available from the NGC™ catalog—that enables researchers to collaborate with their colleagues remotely and interactively visualize their scientific datasets in real time, speeding up scientific discoveries and publishing results faster.
NVIDIA IndeX
NVIDIA IndeX® is a 3D volumetric interactive visualization framework that allows scientists and researchers to visualize and interact with massive HPC datasets.
NVIDIA Omniverse
NVIDIA Omniverse™ lets researchers and developers build custom 3D and simulation pipelines and visualize large-scale 3D datasets. Based on open standards, Omniverse connects to leading HPC tools and frameworks such as ParaView, NanoVDB, NeuralVDB, NVIDIA IndeX, and NVIDIA PhysicsNeMo. With Omniverse, HPC teams can unite their datasets and collaborate across regions.
VMD
VMD is designed for modeling, visualization, and analysis of biomolecular systems such as proteins, nucleic acids, lipid membranes, and carbohydrate structures.
NeuralVDB
NVIDIA NeuralVDB delivers large-scale volumetric data representation powered by AI. It significantly improves efficiency over OpenVDB, the industry-standard library for simulating and rendering sparse volumetric data such as water, fire, smoke, and clouds.
NVIDIA PhysicsNeMo
NVIDIA PhysicsNeMo is a neural network framework that blends the power of physics in the form of governing partial differential equations (PDEs) with data to build high-fidelity, parameterized surrogate models with near-real-time latency and visualization with Omniverse extension.
NVIDIA HPC SDK
The NVIDIA HPC SDK includes the proven compilers, libraries, and software tools essential to maximizing developer productivity and the performance and portability of HPC applications.
To explore the performance improvements of some key HPC applications, visit the NVIDIA Developer Zone. To get started with these GPU-accelerated applications, visit NVIDIA NGC.
Accelerated Scientific Visualization in Action
Scientific visualization has diverse use cases, such as visualizing molecular simulations, simulating large amounts of data, and ingesting and filtering data.
Taking Climate Data to Researchers Faster With Omniverse
The U.S. National Oceanic and Atmospheric Administration (NOAA) has selected Lockheed Martin and NVIDIA to build a system that can output complex visualizations from the latest climate data to researchers in 10 minutes or less with NVIDIA Omniverse.
Visualizing the World’s Most Violent Tornadoes
With NVIDIA rendering, simulation, and GPU-acceleration technologies, climate researchers at the University of Wisconsin are getting closer to understanding the complexity of unpredictable storms, using collaborative, interactive scientific workflows.
Cinematic Climate Visualization with Omniverse
Climate simulations produce large amounts of 3D data, and yet the analysis is often limited to 2D projections. NVIDIA Omniverse enables the fusion of large-scale scientific data with cinematic rendering, allowing for the interactive exploration of complex climate phenomena.
Interactive Visualization of Galactic Winds
NVIDIA IndeX is a volumetric visualization tool that lets users interactively visualize an entire dataset and gather deeper insights faster. Users can change color maps to highlight subtle attributes of the data, view cross-sections across the time series, and use features like ambient occlusion and shadows to examine key components of the data.
Learn more about scientific visualization through various session and demo videos, or get started with the NVIDIA Developer Blog.