Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
NVIDIA Modulus is an advanced neural network framework that integrates the principles of physics, represented through governing partial differential equations (PDEs), with data to create accurate, parameterized surrogate models that operate with near-instantaneous latency. This framework is ideal for those venturing into AI-enhanced physics challenges or for those crafting digital twin models to navigate intricate non-linear, multi-physics systems, offering robust support throughout the process. It provides essential components for constructing physics-based machine learning surrogate models that effectively merge physics principles with data insights. Its versatility ensures applicability across various fields, including engineering simulations and life sciences, while accommodating both forward simulations and inverse/data assimilation tasks. Furthermore, NVIDIA Modulus enables parameterized representations of systems that can tackle multiple scenarios in real time, allowing users to train offline once and subsequently perform real-time inference repeatedly. As such, it empowers researchers and engineers to explore innovative solutions across a spectrum of complex problems with unprecedented efficiency.
Description
Navigating the complexities of integrating data necessary for digital twins can be difficult, especially when dealing with incompatible formats and diverse sources from various vendors. Creating, visualizing, and analyzing digital twins should not be overly complicated. As fellow engineers dedicated to problem-solving, we have developed software that addresses some of the most intricate engineering issues within the infrastructure sector. By merging engineering data, real-time information, and IoT data, we can craft an engaging 3D or 4D immersive experience. This approach leads to a more profound comprehension of infrastructure assets and the ability to unlock the potential of digital data, ultimately making a significant impact. Our solutions provide the digital capabilities essential for achieving business success. Digital twins represent a dynamic digital version of physical assets, processes, or systems, enabling us to analyze and model their performance comprehensively. Unlike static 3D models, digital twins are perpetually refreshed with data from a variety of sources, enhancing their utility and accuracy. Embracing this technology empowers organizations to optimize operations and drive innovation.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
developer.nvidia.com/modulus
Vendor Details
Company Name
Bentley Systems
Founded
1984
Country
United States
Website
www.bentley.com/en/products/product-line/digital-twins/itwin
Product Features
Product Features
Simulation
1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling