CFD / CAE

Sep 09, 2024

Spotlight: Shell Accelerates CO2 Storage Modeling 100,000x Using NVIDIA Modulus

As the world faces the urgent need to combat climate change, carbon capture and storage (CCS) has emerged as a crucial technology for achieving net-zero...
7 MIN READ
Jul 30, 2024

Just Released: NVIDIA Modulus v24.07

NVIDIA Modulus 24.07 brings new GNN enhancements and application samples for training with large meshes.
1 MIN READ
Computational Fluid Dynamics simulation of passenger car in motion, viewed in the Luminary Cloud interface.
Jul 26, 2024

Faster Insights from Luminary Cloud's Engineering Simulations with NVIDIA GPUs

Engineering simulation is used across industries to accelerate product development. Simulations are used to check the safety of aircraft, cars, and buildings,...
8 MIN READ
Image of windvanes over water at night.
Jan 31, 2024

Just Released: NVIDIA Modulus 24.01

NVIDIA Modulus 24.01 updates distributed utilities and samples for physics informing DeepONet and GNNs.
1 MIN READ
Nov 21, 2023

Just Released: NVIDIA Modulus 23.11

Now available, NVIDIA Modulus 23.11 introduces a diffusion modeling framework and novel architectures.
1 MIN READ
A windmill and solar panel illustration.
Nov 14, 2023

Energy Efficiency in High-Performance Computing: Balancing Speed and Sustainability

The world of computing is on the precipice of a seismic shift.  The demand for computing power, particularly in high-performance computing (HPC), is...
17 MIN READ
Sep 21, 2023

Just Released: NVIDIA Modulus 23.09

NVIDIA Modulus 23.09 is now available, providing ease-of-use updates, fixes, and other enhancements.
1 MIN READ
Jun 06, 2023

Develop Physics-Informed Machine Learning Models with Graph Neural Networks

NVIDIA Modulus is a framework for building, training, and fine-tuning deep learning models for physical systems, otherwise known as physics-informed machine...
6 MIN READ
Picture of a 25 mph speed limit sign and actual speed of 27 mph displayed.
May 16, 2023

Asynchronous Error Reporting: When printf Just Won’t Do

Some programming situations call for reporting “soft” errors asynchronously. While printf can be a useful tool, it can increase register use and impact...
17 MIN READ
Car and scratched panel
Apr 19, 2023

How to Train a Defect Detection Model Using Synthetic Data with NVIDIA Omniverse Replicator

According to the American Society of Quality (ASQ), defects cost manufacturers nearly 20% of overall sales revenue. The products that we interact with on a...
9 MIN READ
AutoDMP
Mar 27, 2023

AutoDMP Optimizes Macro Placement for Chip Design with AI and GPUs

Most modern digital chips integrate large numbers of macros in the form of memory blocks or analog blocks, like clock generators. These macros are often much...
12 MIN READ
Nov 08, 2022

Open Source Simulation Expands with NVIDIA PhysX 5 Release

The latest version of the NVIDIA PhysX 5 SDK is now available under the same open source license terms as NVIDIA PhysX 4 to help expand simulation workflows and...
5 MIN READ
Sep 26, 2022

New Course: Introduction to Physics-Informed Machine Learning with Modulus

Learn the basics of physics-informed deep learning and how to use NVIDIA Modulus, the physics machine learning platform, in this self-paced online course.
1 MIN READ
Jul 12, 2022

Just Released: Modulus v22.07

Accelerate your AI-based simulations using NVIDIA Modulus. The 22.07 release brings advancements with weather modeling, novel network architectures, geometry...
1 MIN READ
Computational fluid dynamics tools, such as those used in vehicle aerodynamics, can be used to evaluate the drag produced by a designed surface which has direct implications on vehicle performance.
May 26, 2022

The Computational Fluid Dynamics Revolution Driven by GPU Acceleration

When a technology reaches the required level of maturity, adoption transitions from those considered visionaries to early majority adopters. Now is such a...
11 MIN READ
An abstract image representing Modulus.
Apr 21, 2022

Building Scientifically Accurate Digital Twins Using Modulus with Omniverse and AI

From physics-informed neural networks (PINNs) to neural operators, developers have long sought after the ability to build real-time digital twins with...
4 MIN READ