NVIDIA PhysicsNeMoNVIDIA
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Related Products
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About
Everstar is an AI-native platform for accelerating nuclear power deployment through document intelligence, licensing support, regulatory workflows, engineering analysis, and nuclear compliance automation. Built for nuclear professionals, Everstar helps teams turn complex documentation into active intelligence so they can draft regulator-ready filings, surface precedents in minutes, compress siting timelines, and streamline work across the nuclear value chain without compromising safety. Its AI-powered nuclear intelligence is designed to solve the industry’s hardest administrative, regulatory, and engineering challenges with accuracy, traceability, and secure workflows. Everstar’s platform supports operating reactor licensing, reactor operations and engineering, new reactor licensing, radioactive materials users, manufacturing and supply chain teams, and regulators.
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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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Platforms Supported
Windows
Not Supported
Mac
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Linux
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Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
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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
Nuclear engineering and industrial teams seeking to accelerate engineering, licensing, qualification, manufacturing, construction, and plant operations with AI-driven automation
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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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Support
Phone Support
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24/7 Live Support
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Online
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Support
Phone Support
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24/7 Live Support
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Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
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Pricing
No information available.
Free Version
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Free Trial
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Pricing
Free
Free Version
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Free Trial
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Reviews/
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Training
Documentation
Supported
Webinars
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Live Online
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In Person
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Training
Documentation
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Webinars
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Live Online
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In Person
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Company InformationEverstar
Founded: 2024
United States
everstar.ai/
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Company InformationNVIDIA
Founded: 1993
United States
developer.nvidia.com/physicsnemo
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Integrations
PyTorch
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Python
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