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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

NVIDIA TensorRT is an ecosystem of APIs for high-performance deep learning inference, encompassing an inference runtime and model optimizations that deliver low latency and high throughput for production applications. Built on the CUDA parallel programming model, TensorRT optimizes neural network models trained on all major frameworks, calibrating them for lower precision with high accuracy, and deploying them across hyperscale data centers, workstations, laptops, and edge devices. It employs techniques such as quantization, layer and tensor fusion, and kernel tuning on all types of NVIDIA GPUs, from edge devices to PCs to data centers. The ecosystem includes TensorRT-LLM, an open source library that accelerates and optimizes inference performance of recent large language models on the NVIDIA AI platform, enabling developers to experiment with new LLMs for high performance and quick customization through a simplified Python API.

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

Platforms Supported

Windows 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

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

Machine learning engineers and data scientists seeking a tool to optimize their deep learning operations

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

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 Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Supported

Company Information

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

Company Information

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

Alternatives

Alternatives

OpenVINO

OpenVINO

Intel
Alchemite

Alchemite

Intellegens
NeuralWing

NeuralWing

Emmi AI
FEATool Multiphysics

FEATool Multiphysics

Precise Simulation

Categories

AI Science Supported

Categories

AI Inference Supported

Integrations

PyTorch Supported
Python Supported
CUDA Not Supported
Dataoorts GPU Cloud Not Supported
Kimi K2 Not Supported
Kimi K2.5 Not Supported
Kimi K2.6 Not Supported
Kimi K2.7 Code Not Supported
Kimi K3 Not Supported
LaunchX Not Supported
MATLAB Not Supported
NVIDIA Broadcast Not Supported
NVIDIA Clara Not Supported
NVIDIA DRIVE Not Supported
NVIDIA DeepStream SDK Not Supported
NVIDIA Merlin Not Supported
NVIDIA Morpheus Not Supported
RankLLM Not Supported
TensorFlow Not Supported
Thunder Compute Not Supported

Integrations

PyTorch Supported
Python Supported
CUDA Supported
Dataoorts GPU Cloud Supported
Kimi K2 Supported
Kimi K2.5 Supported
Kimi K2.6 Supported
Kimi K2.7 Code Supported
Kimi K3 Supported
LaunchX Supported
MATLAB Supported
NVIDIA Broadcast Supported
NVIDIA Clara Supported
NVIDIA DRIVE Supported
NVIDIA DeepStream SDK Supported
NVIDIA Merlin Supported
NVIDIA Morpheus Supported
RankLLM Supported
TensorFlow Supported
Thunder Compute Supported
Claim NVIDIA PhysicsNeMo and update features and information
Claim NVIDIA PhysicsNeMo and update features and information
Claim NVIDIA TensorRT and update features and information
Claim NVIDIA TensorRT and update features and information