Researchers are using GPUs to run their large-scale simulations faster, gain deeper insights sooner, and publish their findings quicker.

Engineers in mechanical engineering, geosciences, and manufacturing are modeling complex designs on GPU-powered systems to analyze their work.

Financial organizations are making real-time decisions by extracting insights from massive datasets using NVIDIA GPUs.

GROMACS is a molecular dynamics application designed to simulate Newtonian equations of motion for systems with hundreds to millions of particles.

Large-Scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) is a software application designed for molecular dynamics simulations.

Nanoscale Molecular Dynamics (NAMD) is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems.

TheNVIDIA HPC SDK includes the proven compilers, libraries, and software tools essential to maximizing developer productivity and the performance and portability of HPC modeling and simulation applications.

Widely used HPC applications, including VASP, Gaussian, ANSYS Fluent, GROMACS, and NAMD, use CUDA^®, OpenACC^®, and GPU-accelerated math libraries to deliver breakthrough performance. You can use these same software tools to accelerate your applications with NVIDIA GPUs and achieve dramatic speedups and power efficiency.

The NVIDIA Omniverse™ Blueprint for Earth-2 Weather Analytics is a reference architecture, meant for independent software vendors and their application developers to build AI-augmented simulation and visualization pipelines for the climate and weather domain. This reference can significantly accelerate the development of climate tech applications for weather and climate analysis, planning, and risk mitigation and for developing digital twins of weather and climate.

Leading computer-aided engineering (CAE) software vendors—including Ansys, Altair, Cadence, Siemens, and Synopsys—are accelerating their design tools to run faster with theNVIDIA Blackwellplatform. 

With such accelerated software, along withNVIDIA CUDA-X™ libraries and blueprints to further optimize performance, industries such as automotive, aerospace, energy, manufacturing, and life sciences can significantly reduce product development.

Cadence Fidelity

Explore how simulation is used in weather forecasting and climate modeling—including how automated feature detection can identify threats from severe weather, solar storms, and near-earth objects and how accelerating models and data assimilation techniques can produce more accurate predictions.

Learn how simulation in research can help address many problems, including the COVID-19 pandemic. Combining the compute power of 200,000+ NVIDIA GPUs and additional computing resources contributed by volunteers, the Folding@Home project has performed an exascale simulation of the spike protein.

Take a dive into what HPC modeling can achieve outside of scientific research. It’s also used in the financial sector to do modeling and analysis. As financial models grow in size and sophistication, data scientists and developers are increasingly turning to HPC to accelerate their algorithms and simulations.

Learn how simulation and modeling enables reservoir engineers to develop more accurate, robust, and predictive models faster, using fewer hardware resources than CPU-based solutions.