Audience
Organizations looking for a powerful Physics Machine Learning platform
About NVIDIA Modulus
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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Integrations
No integrations listed.
Company Information
NVIDIA
Founded: 1993
United States
developer.nvidia.com/modulus
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Product Details
Platforms Supported
Linux
Training
Documentation
Support
Online
NVIDIA Modulus Frequently Asked Questions
Q: What kinds of users and organization types does NVIDIA Modulus work with?
NVIDIA Modulus works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does NVIDIA Modulus support in their product?
NVIDIA Modulus supports these languages: English.
Q: What kind of support options does NVIDIA Modulus offer?
NVIDIA Modulus offers support via online.
Q: What type of training does NVIDIA Modulus provide?
NVIDIA Modulus provides training in the form of documentation.
