NVIDIA PhysicsNeMoNVIDIA
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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
RunMat (by Dystr) is a fast, free, open-source alternative for running MATLAB code.
Users can run their existing .m files with complete MATLAB language grammar and core semantics. No license fees, no lock-in. 300+ built-in functions supported.
RunMat is built with a modern Rust runtime featuring a tiered execution model: an interpreter (Ignition) for instant 5ms startup and a JIT compiler (Turbine/Cranelift) for hot paths. GPU acceleration is automatic via a fusion engine that detects elementwise operation chains and dispatches them as optimized GPU kernels across NVIDIA, AMD, Apple Silicon, and Intel GPUs through Metal, DirectX 12, Vulkan, and WebGPU. Up to 131x faster than NumPy and 7x faster than PyTorch on dense numerical workloads.
Runs everywhere: CLI, NPM package, Homebrew, Jupyter kernel, or instantly in the browser via WebAssembly + WebGPU. Single portable binary. MIT licensed.
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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
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
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
Engineers, Scientists, Researchers
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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
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
$0
Free, Open Source. MIT licensed runtime with no seat limits. Cloud plans available for collaboration and team features.
Free Version
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
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 InformationRunMat
Founded: 2022
United States
runmat.com
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Alternatives |
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Categories |
Categories |
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Computer-Aided Engineering (CAE) Features
CAD/CAM Compatibility
Not Supported
Finite Element Analysis
Not Supported
Fluid Dynamics
Supported
Import / Export Files
Supported
Integrated 3D Modeling
Not Supported
Manufacturing Process Simulation
Supported
Mechanical Event Simulation
Supported
Multibody Dynamics
Not Supported
Thermal Analysis
Supported
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Integrations
GitHub
Not Supported
Jupyter Notebook
Not Supported
MATLAB
Not Supported
PyTorch
Supported
Python
Supported
npm
Not Supported
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Integrations
GitHub
Supported
Jupyter Notebook
Supported
MATLAB
Supported
PyTorch
Not Supported
Python
Not Supported
npm
Supported
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