# Scientific Visualization ## 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? Scientific visualization is used in a variety of fields, including researchers in laboratories, creative artists in their studios, and engineers solving complex technical problems. ### 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®](https://developer.nvidia.com/nvidia-index) is a 3D volumetric interactive visualization framework that allows scientists and researchers to visualize and interact with massive HPC datasets. [Pull NVIDIA IndeX](https://ngc.nvidia.com/catalog/containers/nvidia-hpcvis:index) #### Build Advanced Physical AI Solutions Integrate NVIDIA Omniverse libraries to develop industrial digital twins and robotics simulation applications. [Get Started With Omniverse Libraries](https://www.nvidia.com/en-us/omniverse.md) #### VMD VMD is designed for modeling, visualization, and analysis of biomolecular systems such as proteins, nucleic acids, lipid membranes, and carbohydrate structures. [Pull VMD](https://ngc.nvidia.com/catalog/containers/hpc:vmd) #### NeuralVDB [NVIDIA NeuralVDB](https://developer.nvidia.com/rendering-technologies/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. [Get Started With NeuralVDB](https://developer.nvidia.com/rendering-technologies/neuralvdb) #### NVIDIA PhysicsNeMo [NVIDIA PhysicsNeMo](https://developer.nvidia.com/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. [Download NVIDIA PhysicsNeMo](https://developer.nvidia.com/physicsnemo) #### NVIDIA HPC SDK The [NVIDIA HPC SDK](https://developer.nvidia.com/hpc-sdk) includes the proven compilers, libraries, and software tools essential to maximizing developer productivity and the performance and portability of HPC applications. [Download the NVIDIA HPC SDK](https://developer.nvidia.com/nvidia-hpc-sdk-downloads) To explore the performance improvements of some key HPC applications, visit the [NVIDIA Developer Zone](https://developer.nvidia.com/hpc-application-performance). To get started with these GPU-accelerated applications, visit [NVIDIA NGC](https://ngc.nvidia.com/catalog). ## 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. [Read Blog](https://blogs.nvidia.com/blog/2022/11/17/climate-data-speed/) #### 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. [Watch Demo](#) #### 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. [Watch Demo](#) #### 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. [Watch Demo](#) Learn more about scientific visualization through various session and demo videos, or get started with the NVIDIA Developer Blog. [View Videos](https://www.nvidia.com/en-us/on-demand/search/?facet.event_sessionCanonicalTopic[]=High%20Performance%20Computing%20%2F%20Scientific%20Visualization&facet.mimetype[]=event%20session&headerText=All%20Sessions&layout=list&page=1&q=-&sort=date) [Read Blogs](https://developer.nvidia.com/blog/?search_posts_filter=scientific+visualization&category=all&post_type=all)