NVIDIA PhysicsNeMoNVIDIA
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SIMULIADassault Systèmes
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Related Products
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About
NVIDIA PhysicsNeMo is an open source Python deep-learning framework for building, training, fine-tuning, and inferring physics-AI models that combine physics knowledge with data to accelerate simulations, create high-fidelity surrogate models, and enable near-real-time predictions across domains such as computational fluid dynamics, structural mechanics, electromagnetics, weather and climate, and digital twin applications. It provides scalable, GPU-accelerated tools and Python APIs built on PyTorch and released under the Apache 2.0 license, offering curated model architectures including physics-informed neural networks, neural operators, graph neural networks, and generative AI–based approaches so developers can harness physics-driven causality alongside observed data for engineering-grade modeling. PhysicsNeMo includes end-to-end training pipelines from geometry ingestion to differential equations, reference application recipes to jump-start workflows.
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About
Powered by the 3DEXPERIENCE® platform, SIMULIA delivers realistic simulation applications that enable users to reveal the world we live in. SIMULIA applications accelerate the process of evaluating the performance, reliability and safety of materials and products before committing to physical prototypes. Delivers powerful simulation of structures, fluids, multibody, and electromagnetics scenarios including complex assemblies directly linked with the product data. Modeling, simulation, and visualization technology are fully integrated on the 3DEXPERIENCE Platform, including process capture, publication, and re-use. The value of the customer’s existing investment in simulation horsepower is maximized by allowing simulation data, results, and IP to connect to the platform and become true corporate assets that powers innovation for all users.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Researchers, engineers, and developers who need an open source Python AI framework to build, train, fine-tune, and deploy physics-informed machine learning models for simulation, digital twins, and real-time prediction
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Audience
Organizations that need a simulation platform
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationNVIDIA
Founded: 1993
United States
developer.nvidia.com/physicsnemo
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Company InformationDassault Systèmes
Founded: 1981
France
www.3ds.com/products-services/simulia/
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Categories |
Categories |
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Simulation Features
1D Simulation
Not Supported
3D Modeling
Supported
3D Simulation
Supported
Agent-Based Modeling
Supported
Continuous Modeling
Supported
Design Analysis
Supported
Direct Manipulation
Not Supported
Discrete Event Modeling
Not Supported
Dynamic Modeling
Not Supported
Graphical Modeling
Not Supported
Industry Specific Database
Supported
Monte Carlo Simulation
Not Supported
Motion Modeling
Not Supported
Presentation Tools
Supported
Stochastic Modeling
Not Supported
Turbulence Modeling
Supported
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