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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.

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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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

Audience

Engineers, Scientists, Researchers

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

$0
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/physicsnemo

Company Information

RunMat
Founded: 2022
United States
runmat.com

Alternatives

Alternatives

Alchemite

Alchemite

Intellegens
MATLAB

MATLAB

The MathWorks
NeuralWing

NeuralWing

Emmi AI
TypeGPU

TypeGPU

Software Mansion
NeuralMould

NeuralMould

Emmi AI

Categories

Categories

Computer-Aided Engineering (CAE) Features

CAD/CAM Compatibility
Finite Element Analysis
Fluid Dynamics
Import / Export Files
Integrated 3D Modeling
Manufacturing Process Simulation
Mechanical Event Simulation
Multibody Dynamics
Thermal Analysis

Integrations

GitHub
Jupyter Notebook
MATLAB
PyTorch
Python
npm

Integrations

GitHub
Jupyter Notebook
MATLAB
PyTorch
Python
npm
Claim NVIDIA PhysicsNeMo and update features and information
Claim NVIDIA PhysicsNeMo and update features and information
Claim RunMat and update features and information
Claim RunMat and update features and information