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What is OnScale Solve?

OnScale emerges as a trailblazing platform in the realm of Cloud Engineering Simulation, combining sophisticated multiphysics solver technology with the limitless power of cloud supercomputers. This cutting-edge solution allows engineers to run numerous full 3D multiphysics simulations simultaneously, facilitating the development of genuine Digital Prototypes that accurately reflect the operational dynamics of complex high-tech devices. Aiming to provide an outstanding experience in Cloud Engineering Simulation, OnScale Solve is crafted to be intuitive, resilient, and efficient. It functions effortlessly on both public and private cloud infrastructures and includes a user-friendly web interface, an API for seamless integration into existing workflows, customizable scripting options for personalized engineering analyses, and plugins that enhance its modeling capabilities. Additionally, OnScale Solve empowers engineers to synthetically produce data essential for training sophisticated AI/ML algorithms, thus fostering technological innovation. This all-encompassing platform ensures engineers possess the necessary tools to redefine the limits of simulation and design, ultimately driving progress in engineering disciplines. By integrating these features, OnScale not only enhances the simulation process but also encourages a collaborative environment for engineers to explore new frontiers in technology.

What is NVIDIA Modulus?

NVIDIA Modulus is a sophisticated neural network framework designed to seamlessly combine the principles of physics, encapsulated through governing partial differential equations (PDEs), with data to develop accurate, parameterized surrogate models that deliver near-instantaneous responses. This framework is particularly suited for individuals tackling AI-driven physics challenges or those creating digital twin models to manage complex non-linear, multi-physics systems, ensuring comprehensive assistance throughout their endeavors. It offers vital elements for developing physics-oriented machine learning surrogate models that adeptly integrate physical laws with empirical data insights. Its adaptability makes it relevant across numerous domains, such as engineering simulations and life sciences, while supporting both forward simulations and inverse/data assimilation tasks. Moreover, NVIDIA Modulus facilitates parameterized representations of systems capable of addressing various scenarios in real time, allowing users to conduct offline training once and then execute real-time inference multiple times. By doing so, it empowers both researchers and engineers to discover innovative solutions across a wide range of intricate problems with remarkable efficiency, ultimately pushing the boundaries of what's achievable in their respective fields. As a result, this framework stands as a transformative tool for advancing the integration of AI in the understanding and simulation of physical phenomena.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
MATLAB

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

$4
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

OnScale

Date Founded

2017

Company Location

United Kingdom

Company Website

onscale.com

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/modulus

Categories and Features

AI CAD

Not specified

CAD

Not specified

Engineering

Not specified

Simulation

Not specified

Categories and Features

AI Inference

Not specified

Digital Twin

Not specified

HPC

Not specified

Neural Network

Not specified

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