NVIDIA ModulusNVIDIA
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iTwinBentley Systems
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About
NVIDIA Modulus 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. Whether you’re looking to get started with AI-driven physics problems or designing digital twin models for complex non-linear, multi-physics systems, NVIDIA Modulus can support your work. Offers building blocks for developing physics machine learning surrogate models that combine both physics and data. The framework is generalizable to different domains and use cases—from engineering simulations to life sciences and from forward simulations to inverse/data assimilation problems. Provides parameterized system representation that solves for multiple scenarios in near real time, letting you train once offline to infer in real time repeatedly.
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About
It can be challenging when the data you need for digital twins is in incompatible formats and different data sources from different vendors. It really shouldn't be that hard to create, visualize and analyze digital twins. Like you, we are engineers who are passionate about solving problems, and our software has helped solve some of the most complex engineering challenges in infrastructure. Combine engineering data, reality data, and IoT data. Create an immersive experience in 3D / 4D. Gain a deeper understanding of infrastructure assets. Unlock the value of digital data and make a difference. Provide the digital capabilities that drive business success. A digital twin is a digital representation of a physical asset, process or system, which allows us to understand and model its performance. Digital twins are continuously updated with data from multiple sources – which is what makes them different from static, 3D models.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Organizations looking for a powerful Physics Machine Learning platform
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Audience
Engineers interested in an infrastructure digital twins solution to better understand and optimize asset performance
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationNVIDIA
Founded: 1993
United States
developer.nvidia.com/modulus
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Company InformationBentley Systems
Founded: 1984
United States
www.bentley.com/en/products/product-line/digital-twins/itwin
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Integrations
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Integrations
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